1 Abstract

Macarron is a workflow to systematically annotate and prioritize potentially bioactive (and often unannotated) small molecules in microbial community metabolomic datasets. Macarron prioritizes metabolic features as potentially bioactive in a phenotype/condition of interest using a combination of (a) covariance with annotated metabolites, (b) ecological properties such as abundance with respect to covarying annotated compounds, and (c) differential abundance in the phenotype/condition of interest.

If you have questions, please direct it to: Macarron Forum

2 Installation

Macarron requires R version 4.2.0 or higher. Install Bioconductor and then install Macarron:

if(!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("Macarron")

3 Running Macarron

Macarron can be run from the command line or as an R function. Both methods require the same arguments, have the same options, and use the same default settings. The package includes the wrapper Macarron() as well as functions which perform different steps in the Macarron framework.

3.1 Input CSV files

Macarron requires 4 comma-separated, appropriately formatted input files. The files and their formatting constraints are described below.

  1. Metabolic features abundances
    • Must contain features in rows and samples in columns.
    • First column must identify features.
  2. Metabolic features annotations
    • Must contain features in rows and annotations in columns.
    • First column must identify features.
    • Second column must contain either HMDB ID or PubChem Compound Identifier (CID).
    • Third column must contain the name of the metabolite.
    • Fourth column must contain a continuous chemical property such as m/z or RT or shift/ppm.
    • Other annotations such as RT, m/z or other identifiers can be listed column 4 onward.
  3. Sample metadata
    • Must contain samples in rows and metadata in columns.
    • First column must identify samples.
    • Second column must contain categorical metadata relevant to prioritization such as phenotypes, exposures or environments.
  4. Chemical taxonomy
    • First column must contain the HMDB ID or PubChem CID. IDs must be consistent between annotation and taxonomy files.
    • Second and third columns must contain chemical subclass and class of the respective metabolite.

If you do not have the chemical taxonomy file, you can generate this file using the annotation dataframe and Macarron utility decorate_ID (see Advanced Topics).

3.2 Output Files

By default, all files will be stored in a folder named Macarron_output inside the current working directory. The main prioritization results are stored in prioritized_metabolites_all.csv. Another file, prioritized_metabolites_characterizable.csv is a subset of prioritized_metabolites_all.csv and only contains metabolic features which covary with at least one annotated metabolite. The columns in these output files are:

  • Feature_index: Lists the identifier of the metabolic feature found in column 1 of abundance and annotation files.
  • HMDB_ID (or PubChem ID): Public database identifier from column 2 of annotation file (column 1 of annotation dataframe).
  • Metabolite name: From column 2 of annotation dataframe.
  • mz: The continuous numerical chemical property from column 3 of the annotation dataframe.
  • Priority_score: 1 indicates most prioritized. It is the percentile from the meta-rank of AVA, q-value and effect size.
  • Status: Direction of perturbation (differential abundance) in the phenotype (or environment) of interest compared to reference phenotype.
  • Module: ID of the covariance module a metabolic feature is a member of. Module = 0 indicates a singleton i.e., a metabolic feature that is not assigned to any module.
  • Anchor (of a module): Metabolic feature that has the highest abundance in any phenotype.
  • Related_classes: Chemical taxonomy of the annotated features that covary with a metabolic feature.
  • Covaries_with_standard: 1 (yes) and 0 (no). Column specifies if the metabolic feature covaries with at least one annotated (standard) metabolite.
  • AVA: Abundance versus anchor which is a ratio of the highest abundance (in any phenotype) of a metabolic feature and highest abundance of the covarying anchor. Naturally, the AVA of an anchor metabolite is 1.
  • qvalue: Estimated from multivariate linear model using Maaslin2.
  • effect_size
  • Remaining columns from the annotation dataframe are appended.

3.3 Run a demo in R

3.3.1 Using CSV files as inputs

Example (demo) input files can be found under inst/extdata folder of the Macarron source. These files were generated from the PRISM study of stool metabolomes of individuals with inflammatory bowel disease (IBD) and healthy “Control” individuals. Control and IBD are the two phenotypes in this example. Macarron will be applied to prioritize metabolic features with respect to their bioactivity in IBD. Therefore, in this example, the phenotype of interest is “IBD” and the reference phenotype is “Control”. The four input files are demo_abundances.csv, demo_annotations.csv, demo_metadata.csv, and demo_taxonomy.csv.

library(Macarron)
## Loading required package: SummarizedExperiment
## Loading required package: MatrixGenerics
## Loading required package: matrixStats
## 
## Attaching package: 'MatrixGenerics'
## The following objects are masked from 'package:matrixStats':
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##     colDiffs, colIQRDiffs, colIQRs, colLogSumExps, colMadDiffs,
##     colMads, colMaxs, colMeans2, colMedians, colMins, colOrderStats,
##     colProds, colQuantiles, colRanges, colRanks, colSdDiffs, colSds,
##     colSums2, colTabulates, colVarDiffs, colVars, colWeightedMads,
##     colWeightedMeans, colWeightedMedians, colWeightedSds,
##     colWeightedVars, rowAlls, rowAnyNAs, rowAnys, rowAvgsPerColSet,
##     rowCollapse, rowCounts, rowCummaxs, rowCummins, rowCumprods,
##     rowCumsums, rowDiffs, rowIQRDiffs, rowIQRs, rowLogSumExps,
##     rowMadDiffs, rowMads, rowMaxs, rowMeans2, rowMedians, rowMins,
##     rowOrderStats, rowProds, rowQuantiles, rowRanges, rowRanks,
##     rowSdDiffs, rowSds, rowSums2, rowTabulates, rowVarDiffs, rowVars,
##     rowWeightedMads, rowWeightedMeans, rowWeightedMedians,
##     rowWeightedSds, rowWeightedVars
## Loading required package: GenomicRanges
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##     pmin.int, rank, rbind, rownames, sapply, setdiff, table, tapply,
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## Loading required package: S4Vectors
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## Attaching package: 'S4Vectors'
## The following object is masked from 'package:utils':
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## Loading required package: IRanges
## Loading required package: GenomeInfoDb
## Loading required package: Biobase
## Welcome to Bioconductor
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##     'browseVignettes()'. To cite Bioconductor, see
##     'citation("Biobase")', and for packages 'citation("pkgname")'.
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## Attaching package: 'Biobase'
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prism_abundances <- system.file(
    'extdata','demo_abundances.csv', package="Macarron")
prism_annotations <-system.file(
    'extdata','demo_annotations.csv', package="Macarron")
prism_metadata <-system.file(
    'extdata','demo_metadata.csv', package="Macarron")
mets_taxonomy <-system.file(
    'extdata','demo_taxonomy.csv', package="Macarron")
prism_prioritized <- Macarron::Macarron(input_abundances = prism_abundances,
                                        input_annotations = prism_annotations,
                                        input_metadata = prism_metadata,
                                        input_taxonomy = mets_taxonomy)
## 2024-06-26 20:21:03.056754 INFO::Creating output folder.
## 2024-06-26 20:21:03.099538 INFO::Writing function arguments to log file
## Samples with both abundances and metadata: 102
## 2024-06-26 20:21:03.286816 INFO::Summarized Experiment created.
## 2024-06-26 20:21:03.290969 INFO::Metadata chosen for prevalence filtering: diagnosis
## 869 features pass chosen minimum prevalence threshold of 0.7.
## Calculating pairwise correlations in phenotype: IBD
## 
## Calculating pairwise correlations in phenotype: Control
## Distance matrix with 869 features created.
## 2024-06-26 20:21:12.352504 INFO::Distance matrix with 869 metabolic features created.
## Initiating module detection
## 2024-06-26 20:21:12.354934 INFO::Minimum module size used for this dataset: 10
## Tree constructed
## Evaluating measures of success
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
## 2024-06-26 20:21:15.976314 INFO::Total number of modules detected: 30
## Initiating AVA calculations
## Finding anchors
## Calculating AVA
## Initiating q-value calculations
## [1] "Creating output folder"
## [1] "Creating output feature tables folder"
## [1] "Creating output fits folder"
## [1] "Creating output figures folder"
## 2024-06-26 20:21:22.813927 INFO::Writing function arguments to log file
## 2024-06-26 20:21:22.832137 INFO::Verifying options selected are valid
## 2024-06-26 20:21:22.947597 INFO::Determining format of input files
## 2024-06-26 20:21:22.964584 INFO::Input format is data samples as columns and metadata samples as rows
## 2024-06-26 20:21:23.028219 INFO::Formula for fixed effects: expr ~  diagnosis + age + antibiotics
## 2024-06-26 20:21:23.032342 INFO::Filter data based on min abundance and min prevalence
## 2024-06-26 20:21:23.034489 INFO::Total samples in data: 102
## 2024-06-26 20:21:23.036394 INFO::Min samples required with min abundance for a feature not to be filtered: 0.000000
## 2024-06-26 20:21:23.073877 INFO::Total filtered features: 0
## 2024-06-26 20:21:23.076882 INFO::Filtered feature names from abundance and prevalence filtering:
## 2024-06-26 20:21:23.137379 INFO::Total filtered features with variance filtering: 0
## 2024-06-26 20:21:23.139664 INFO::Filtered feature names from variance filtering:
## 2024-06-26 20:21:23.141652 INFO::Running selected normalization method: NONE
## 2024-06-26 20:21:23.143746 INFO::Applying z-score to standardize continuous metadata
## 2024-06-26 20:21:23.194803 INFO::Running selected transform method: NONE
## 2024-06-26 20:21:23.197119 INFO::Running selected analysis method: LM
## 2024-06-26 20:21:23.210068 INFO::Fitting model to feature number 1, F1
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## 2024-06-26 20:21:25.183742 INFO::Fitting model to feature number 161, F167
## 2024-06-26 20:21:25.194686 INFO::Fitting model to feature number 162, F168
## 2024-06-26 20:21:25.204826 INFO::Fitting model to feature number 163, F169
## 2024-06-26 20:21:25.21805 INFO::Fitting model to feature number 164, F170
## 2024-06-26 20:21:25.229197 INFO::Fitting model to feature number 165, F171
## 2024-06-26 20:21:25.239 INFO::Fitting model to feature number 166, F172
## 2024-06-26 20:21:25.249024 INFO::Fitting model to feature number 167, F173
## 2024-06-26 20:21:25.259113 INFO::Fitting model to feature number 168, F174
## 2024-06-26 20:21:25.272639 INFO::Fitting model to feature number 169, F175
## 2024-06-26 20:21:25.282537 INFO::Fitting model to feature number 170, F176
## 2024-06-26 20:21:25.292586 INFO::Fitting model to feature number 171, F177
## 2024-06-26 20:21:25.302576 INFO::Fitting model to feature number 172, F178
## 2024-06-26 20:21:25.312793 INFO::Fitting model to feature number 173, F179
## 2024-06-26 20:21:25.324176 INFO::Fitting model to feature number 174, F180
## 2024-06-26 20:21:25.334922 INFO::Fitting model to feature number 175, F181
## 2024-06-26 20:21:25.346368 INFO::Fitting model to feature number 176, F182
## 2024-06-26 20:21:25.35671 INFO::Fitting model to feature number 177, F183
## 2024-06-26 20:21:25.366223 INFO::Fitting model to feature number 178, F184
## 2024-06-26 20:21:25.376565 INFO::Fitting model to feature number 179, F185
## 2024-06-26 20:21:25.386856 INFO::Fitting model to feature number 180, F186
## 2024-06-26 20:21:25.398553 INFO::Fitting model to feature number 181, F187
## 2024-06-26 20:21:25.410001 INFO::Fitting model to feature number 182, F188
## 2024-06-26 20:21:25.421008 INFO::Fitting model to feature number 183, F189
## 2024-06-26 20:21:25.431704 INFO::Fitting model to feature number 184, F190
## 2024-06-26 20:21:25.443249 INFO::Fitting model to feature number 185, F191
## 2024-06-26 20:21:25.453381 INFO::Fitting model to feature number 186, F192
## 2024-06-26 20:21:25.465155 INFO::Fitting model to feature number 187, F193
## 2024-06-26 20:21:25.475331 INFO::Fitting model to feature number 188, F194
## 2024-06-26 20:21:25.485168 INFO::Fitting model to feature number 189, F195
## 2024-06-26 20:21:25.495065 INFO::Fitting model to feature number 190, F196
## 2024-06-26 20:21:25.505343 INFO::Fitting model to feature number 191, F197
## 2024-06-26 20:21:25.516199 INFO::Fitting model to feature number 192, F198
## 2024-06-26 20:21:25.527544 INFO::Fitting model to feature number 193, F199
## 2024-06-26 20:21:25.53915 INFO::Fitting model to feature number 194, F200
## 2024-06-26 20:21:25.549872 INFO::Fitting model to feature number 195, F201
## 2024-06-26 20:21:25.560538 INFO::Fitting model to feature number 196, F202
## 2024-06-26 20:21:25.570713 INFO::Fitting model to feature number 197, F203
## 2024-06-26 20:21:25.582357 INFO::Fitting model to feature number 198, F204
## 2024-06-26 20:21:25.592655 INFO::Fitting model to feature number 199, F206
## 2024-06-26 20:21:25.602978 INFO::Fitting model to feature number 200, F207
## 2024-06-26 20:21:25.61291 INFO::Fitting model to feature number 201, F208
## 2024-06-26 20:21:25.624413 INFO::Fitting model to feature number 202, F209
## 2024-06-26 20:21:25.635503 INFO::Fitting model to feature number 203, F210
## 2024-06-26 20:21:25.647144 INFO::Fitting model to feature number 204, F211
## 2024-06-26 20:21:25.696024 INFO::Fitting model to feature number 205, F212
## 2024-06-26 20:21:25.706713 INFO::Fitting model to feature number 206, F213
## 2024-06-26 20:21:25.716859 INFO::Fitting model to feature number 207, F214
## 2024-06-26 20:21:25.728796 INFO::Fitting model to feature number 208, F215
## 2024-06-26 20:21:25.73885 INFO::Fitting model to feature number 209, F216
## 2024-06-26 20:21:25.74896 INFO::Fitting model to feature number 210, F217
## 2024-06-26 20:21:25.759814 INFO::Fitting model to feature number 211, F218
## 2024-06-26 20:21:25.771042 INFO::Fitting model to feature number 212, F219
## 2024-06-26 20:21:25.782079 INFO::Fitting model to feature number 213, F220
## 2024-06-26 20:21:25.830841 INFO::Fitting model to feature number 214, F221
## 2024-06-26 20:21:25.842272 INFO::Fitting model to feature number 215, F222
## 2024-06-26 20:21:25.853094 INFO::Fitting model to feature number 216, F223
## 2024-06-26 20:21:25.864785 INFO::Fitting model to feature number 217, F224
## 2024-06-26 20:21:25.875312 INFO::Fitting model to feature number 218, F225
## 2024-06-26 20:21:25.886479 INFO::Fitting model to feature number 219, F226
## 2024-06-26 20:21:25.897299 INFO::Fitting model to feature number 220, F227
## 2024-06-26 20:21:25.90828 INFO::Fitting model to feature number 221, F228
## 2024-06-26 20:21:25.981783 INFO::Fitting model to feature number 222, F229
## 2024-06-26 20:21:25.991401 INFO::Fitting model to feature number 223, F230
## 2024-06-26 20:21:26.000476 INFO::Fitting model to feature number 224, F231
## 2024-06-26 20:21:26.00977 INFO::Fitting model to feature number 225, F232
## 2024-06-26 20:21:26.01864 INFO::Fitting model to feature number 226, F233
## 2024-06-26 20:21:26.027678 INFO::Fitting model to feature number 227, F234
## 2024-06-26 20:21:26.037292 INFO::Fitting model to feature number 228, F235
## 2024-06-26 20:21:26.047061 INFO::Fitting model to feature number 229, F236
## 2024-06-26 20:21:26.056605 INFO::Fitting model to feature number 230, F237
## 2024-06-26 20:21:26.065823 INFO::Fitting model to feature number 231, F238
## 2024-06-26 20:21:26.077083 INFO::Fitting model to feature number 232, F239
## 2024-06-26 20:21:26.088035 INFO::Fitting model to feature number 233, F240
## 2024-06-26 20:21:26.097899 INFO::Fitting model to feature number 234, F241
## 2024-06-26 20:21:26.108018 INFO::Fitting model to feature number 235, F242
## 2024-06-26 20:21:26.117253 INFO::Fitting model to feature number 236, F243
## 2024-06-26 20:21:26.126846 INFO::Fitting model to feature number 237, F244
## 2024-06-26 20:21:26.136245 INFO::Fitting model to feature number 238, F245
## 2024-06-26 20:21:26.146908 INFO::Fitting model to feature number 239, F246
## 2024-06-26 20:21:26.157584 INFO::Fitting model to feature number 240, F247
## 2024-06-26 20:21:26.16753 INFO::Fitting model to feature number 241, F248
## 2024-06-26 20:21:26.178268 INFO::Fitting model to feature number 242, F249
## 2024-06-26 20:21:26.188259 INFO::Fitting model to feature number 243, F250
## 2024-06-26 20:21:26.206599 INFO::Fitting model to feature number 244, F252
## 2024-06-26 20:21:26.217749 INFO::Fitting model to feature number 245, F253
## 2024-06-26 20:21:26.227988 INFO::Fitting model to feature number 246, F254
## 2024-06-26 20:21:26.238162 INFO::Fitting model to feature number 247, F255
## 2024-06-26 20:21:26.248423 INFO::Fitting model to feature number 248, F256
## 2024-06-26 20:21:26.258448 INFO::Fitting model to feature number 249, F257
## 2024-06-26 20:21:26.269468 INFO::Fitting model to feature number 250, F259
## 2024-06-26 20:21:26.279415 INFO::Fitting model to feature number 251, F260
## 2024-06-26 20:21:26.289102 INFO::Fitting model to feature number 252, F261
## 2024-06-26 20:21:26.299529 INFO::Fitting model to feature number 253, F262
## 2024-06-26 20:21:26.309632 INFO::Fitting model to feature number 254, F263
## 2024-06-26 20:21:26.319987 INFO::Fitting model to feature number 255, F264
## 2024-06-26 20:21:26.330419 INFO::Fitting model to feature number 256, F265
## 2024-06-26 20:21:26.339512 INFO::Fitting model to feature number 257, F266
## 2024-06-26 20:21:26.349834 INFO::Fitting model to feature number 258, F267
## 2024-06-26 20:21:26.359807 INFO::Fitting model to feature number 259, F269
## 2024-06-26 20:21:26.370508 INFO::Fitting model to feature number 260, F270
## 2024-06-26 20:21:26.379809 INFO::Fitting model to feature number 261, F271
## 2024-06-26 20:21:26.39014 INFO::Fitting model to feature number 262, F272
## 2024-06-26 20:21:26.399961 INFO::Fitting model to feature number 263, F273
## 2024-06-26 20:21:26.410202 INFO::Fitting model to feature number 264, F274
## 2024-06-26 20:21:26.420138 INFO::Fitting model to feature number 265, F276
## 2024-06-26 20:21:26.429327 INFO::Fitting model to feature number 266, F277
## 2024-06-26 20:21:26.439398 INFO::Fitting model to feature number 267, F278
## 2024-06-26 20:21:26.449177 INFO::Fitting model to feature number 268, F279
## 2024-06-26 20:21:26.45998 INFO::Fitting model to feature number 269, F280
## 2024-06-26 20:21:26.470732 INFO::Fitting model to feature number 270, F281
## 2024-06-26 20:21:26.48132 INFO::Fitting model to feature number 271, F282
## 2024-06-26 20:21:26.49142 INFO::Fitting model to feature number 272, F283
## 2024-06-26 20:21:26.500985 INFO::Fitting model to feature number 273, F284
## 2024-06-26 20:21:26.511299 INFO::Fitting model to feature number 274, F285
## 2024-06-26 20:21:26.522163 INFO::Fitting model to feature number 275, F286
## 2024-06-26 20:21:26.532482 INFO::Fitting model to feature number 276, F287
## 2024-06-26 20:21:26.542896 INFO::Fitting model to feature number 277, F288
## 2024-06-26 20:21:26.552734 INFO::Fitting model to feature number 278, F289
## 2024-06-26 20:21:26.563776 INFO::Fitting model to feature number 279, F290
## 2024-06-26 20:21:26.574275 INFO::Fitting model to feature number 280, F292
## 2024-06-26 20:21:26.58519 INFO::Fitting model to feature number 281, F293
## 2024-06-26 20:21:26.594175 INFO::Fitting model to feature number 282, F294
## 2024-06-26 20:21:26.604929 INFO::Fitting model to feature number 283, F295
## 2024-06-26 20:21:26.614877 INFO::Fitting model to feature number 284, F296
## 2024-06-26 20:21:26.625073 INFO::Fitting model to feature number 285, F297
## 2024-06-26 20:21:26.635049 INFO::Fitting model to feature number 286, F298
## 2024-06-26 20:21:26.646766 INFO::Fitting model to feature number 287, F299
## 2024-06-26 20:21:26.657596 INFO::Fitting model to feature number 288, F300
## 2024-06-26 20:21:26.667806 INFO::Fitting model to feature number 289, F301
## 2024-06-26 20:21:26.678002 INFO::Fitting model to feature number 290, F302
## 2024-06-26 20:21:26.689754 INFO::Fitting model to feature number 291, F303
## 2024-06-26 20:21:26.6997 INFO::Fitting model to feature number 292, F304
## 2024-06-26 20:21:26.709883 INFO::Fitting model to feature number 293, F305
## 2024-06-26 20:21:26.719541 INFO::Fitting model to feature number 294, F306
## 2024-06-26 20:21:26.729684 INFO::Fitting model to feature number 295, F307
## 2024-06-26 20:21:26.740263 INFO::Fitting model to feature number 296, F308
## 2024-06-26 20:21:26.750916 INFO::Fitting model to feature number 297, F309
## 2024-06-26 20:21:26.760098 INFO::Fitting model to feature number 298, F310
## 2024-06-26 20:21:26.769775 INFO::Fitting model to feature number 299, F311
## 2024-06-26 20:21:26.779254 INFO::Fitting model to feature number 300, F312
## 2024-06-26 20:21:26.790292 INFO::Fitting model to feature number 301, F313
## 2024-06-26 20:21:26.801001 INFO::Fitting model to feature number 302, F315
## 2024-06-26 20:21:26.812121 INFO::Fitting model to feature number 303, F316
## 2024-06-26 20:21:26.822292 INFO::Fitting model to feature number 304, F317
## 2024-06-26 20:21:26.832238 INFO::Fitting model to feature number 305, F318
## 2024-06-26 20:21:26.842475 INFO::Fitting model to feature number 306, F319
## 2024-06-26 20:21:26.853563 INFO::Fitting model to feature number 307, F320
## 2024-06-26 20:21:26.864519 INFO::Fitting model to feature number 308, F321
## 2024-06-26 20:21:26.874928 INFO::Fitting model to feature number 309, F322
## 2024-06-26 20:21:26.885974 INFO::Fitting model to feature number 310, F323
## 2024-06-26 20:21:26.896629 INFO::Fitting model to feature number 311, F324
## 2024-06-26 20:21:26.90731 INFO::Fitting model to feature number 312, F325
## 2024-06-26 20:21:26.917826 INFO::Fitting model to feature number 313, F326
## 2024-06-26 20:21:26.927861 INFO::Fitting model to feature number 314, F327
## 2024-06-26 20:21:26.937632 INFO::Fitting model to feature number 315, F328
## 2024-06-26 20:21:26.947606 INFO::Fitting model to feature number 316, F329
## 2024-06-26 20:21:26.957214 INFO::Fitting model to feature number 317, F330
## 2024-06-26 20:21:26.966948 INFO::Fitting model to feature number 318, F331
## 2024-06-26 20:21:26.976544 INFO::Fitting model to feature number 319, F332
## 2024-06-26 20:21:26.985732 INFO::Fitting model to feature number 320, F333
## 2024-06-26 20:21:26.995397 INFO::Fitting model to feature number 321, F334
## 2024-06-26 20:21:27.005461 INFO::Fitting model to feature number 322, F335
## 2024-06-26 20:21:27.015904 INFO::Fitting model to feature number 323, F336
## 2024-06-26 20:21:27.026845 INFO::Fitting model to feature number 324, F337
## 2024-06-26 20:21:27.037657 INFO::Fitting model to feature number 325, F338
## 2024-06-26 20:21:27.048656 INFO::Fitting model to feature number 326, F339
## 2024-06-26 20:21:27.059161 INFO::Fitting model to feature number 327, F340
## 2024-06-26 20:21:27.07009 INFO::Fitting model to feature number 328, F342
## 2024-06-26 20:21:27.080082 INFO::Fitting model to feature number 329, F343
## 2024-06-26 20:21:27.089966 INFO::Fitting model to feature number 330, F344
## 2024-06-26 20:21:27.099861 INFO::Fitting model to feature number 331, F345
## 2024-06-26 20:21:27.109816 INFO::Fitting model to feature number 332, F346
## 2024-06-26 20:21:27.120248 INFO::Fitting model to feature number 333, F347
## 2024-06-26 20:21:27.165168 INFO::Fitting model to feature number 334, F348
## 2024-06-26 20:21:27.175436 INFO::Fitting model to feature number 335, F350
## 2024-06-26 20:21:27.186289 INFO::Fitting model to feature number 336, F351
## 2024-06-26 20:21:27.196764 INFO::Fitting model to feature number 337, F352
## 2024-06-26 20:21:27.205842 INFO::Fitting model to feature number 338, F353
## 2024-06-26 20:21:27.215889 INFO::Fitting model to feature number 339, F355
## 2024-06-26 20:21:27.225172 INFO::Fitting model to feature number 340, F356
## 2024-06-26 20:21:27.234492 INFO::Fitting model to feature number 341, F357
## 2024-06-26 20:21:27.243983 INFO::Fitting model to feature number 342, F358
## 2024-06-26 20:21:27.253582 INFO::Fitting model to feature number 343, F359
## 2024-06-26 20:21:27.264181 INFO::Fitting model to feature number 344, F360
## 2024-06-26 20:21:27.274498 INFO::Fitting model to feature number 345, F361
## 2024-06-26 20:21:27.285422 INFO::Fitting model to feature number 346, F362
## 2024-06-26 20:21:27.294828 INFO::Fitting model to feature number 347, F363
## 2024-06-26 20:21:27.305102 INFO::Fitting model to feature number 348, F364
## 2024-06-26 20:21:27.34055 INFO::Fitting model to feature number 349, F365
## 2024-06-26 20:21:27.350641 INFO::Fitting model to feature number 350, F366
## 2024-06-26 20:21:27.360253 INFO::Fitting model to feature number 351, F367
## 2024-06-26 20:21:27.369873 INFO::Fitting model to feature number 352, F368
## 2024-06-26 20:21:27.379423 INFO::Fitting model to feature number 353, F369
## 2024-06-26 20:21:27.388739 INFO::Fitting model to feature number 354, F370
## 2024-06-26 20:21:27.398121 INFO::Fitting model to feature number 355, F371
## 2024-06-26 20:21:27.407954 INFO::Fitting model to feature number 356, F372
## 2024-06-26 20:21:27.4178 INFO::Fitting model to feature number 357, F373
## 2024-06-26 20:21:27.428714 INFO::Fitting model to feature number 358, F374
## 2024-06-26 20:21:27.438693 INFO::Fitting model to feature number 359, F375
## 2024-06-26 20:21:27.448919 INFO::Fitting model to feature number 360, F376
## 2024-06-26 20:21:27.458991 INFO::Fitting model to feature number 361, F377
## 2024-06-26 20:21:27.470046 INFO::Fitting model to feature number 362, F378
## 2024-06-26 20:21:27.479697 INFO::Fitting model to feature number 363, F379
## 2024-06-26 20:21:27.490347 INFO::Fitting model to feature number 364, F380
## 2024-06-26 20:21:27.500812 INFO::Fitting model to feature number 365, F381
## 2024-06-26 20:21:27.510834 INFO::Fitting model to feature number 366, F382
## 2024-06-26 20:21:27.525735 INFO::Fitting model to feature number 367, F383
## 2024-06-26 20:21:27.536317 INFO::Fitting model to feature number 368, F384
## 2024-06-26 20:21:27.546421 INFO::Fitting model to feature number 369, F386
## 2024-06-26 20:21:27.556578 INFO::Fitting model to feature number 370, F387
## 2024-06-26 20:21:27.567376 INFO::Fitting model to feature number 371, F388
## 2024-06-26 20:21:27.578236 INFO::Fitting model to feature number 372, F389
## 2024-06-26 20:21:27.588376 INFO::Fitting model to feature number 373, F390
## 2024-06-26 20:21:27.598476 INFO::Fitting model to feature number 374, F391
## 2024-06-26 20:21:27.608675 INFO::Fitting model to feature number 375, F392
## 2024-06-26 20:21:27.61906 INFO::Fitting model to feature number 376, F393
## 2024-06-26 20:21:27.630788 INFO::Fitting model to feature number 377, F394
## 2024-06-26 20:21:27.641015 INFO::Fitting model to feature number 378, F395
## 2024-06-26 20:21:27.652518 INFO::Fitting model to feature number 379, F396
## 2024-06-26 20:21:27.663088 INFO::Fitting model to feature number 380, F397
## 2024-06-26 20:21:27.674789 INFO::Fitting model to feature number 381, F398
## 2024-06-26 20:21:27.685385 INFO::Fitting model to feature number 382, F399
## 2024-06-26 20:21:27.696055 INFO::Fitting model to feature number 383, F400
## 2024-06-26 20:21:27.706864 INFO::Fitting model to feature number 384, F401
## 2024-06-26 20:21:27.716845 INFO::Fitting model to feature number 385, F402
## 2024-06-26 20:21:27.726922 INFO::Fitting model to feature number 386, F403
## 2024-06-26 20:21:27.738186 INFO::Fitting model to feature number 387, F404
## 2024-06-26 20:21:27.748762 INFO::Fitting model to feature number 388, F406
## 2024-06-26 20:21:27.759689 INFO::Fitting model to feature number 389, F407
## 2024-06-26 20:21:27.771411 INFO::Fitting model to feature number 390, F408
## 2024-06-26 20:21:27.783341 INFO::Fitting model to feature number 391, F409
## 2024-06-26 20:21:27.794616 INFO::Fitting model to feature number 392, F410
## 2024-06-26 20:21:27.80473 INFO::Fitting model to feature number 393, F411
## 2024-06-26 20:21:27.814539 INFO::Fitting model to feature number 394, F412
## 2024-06-26 20:21:27.824843 INFO::Fitting model to feature number 395, F413
## 2024-06-26 20:21:27.834356 INFO::Fitting model to feature number 396, F414
## 2024-06-26 20:21:27.844481 INFO::Fitting model to feature number 397, F415
## 2024-06-26 20:21:27.854403 INFO::Fitting model to feature number 398, F416
## 2024-06-26 20:21:27.864648 INFO::Fitting model to feature number 399, F417
## 2024-06-26 20:21:27.875298 INFO::Fitting model to feature number 400, F418
## 2024-06-26 20:21:27.886245 INFO::Fitting model to feature number 401, F419
## 2024-06-26 20:21:27.896397 INFO::Fitting model to feature number 402, F420
## 2024-06-26 20:21:27.90752 INFO::Fitting model to feature number 403, F421
## 2024-06-26 20:21:27.919195 INFO::Fitting model to feature number 404, F422
## 2024-06-26 20:21:27.929691 INFO::Fitting model to feature number 405, F423
## 2024-06-26 20:21:27.939962 INFO::Fitting model to feature number 406, F425
## 2024-06-26 20:21:27.952212 INFO::Fitting model to feature number 407, F426
## 2024-06-26 20:21:27.962895 INFO::Fitting model to feature number 408, F428
## 2024-06-26 20:21:27.974572 INFO::Fitting model to feature number 409, F429
## 2024-06-26 20:21:27.985954 INFO::Fitting model to feature number 410, F430
## 2024-06-26 20:21:27.997109 INFO::Fitting model to feature number 411, F431
## 2024-06-26 20:21:28.007441 INFO::Fitting model to feature number 412, F432
## 2024-06-26 20:21:28.017986 INFO::Fitting model to feature number 413, F433
## 2024-06-26 20:21:28.028356 INFO::Fitting model to feature number 414, F434
## 2024-06-26 20:21:28.038094 INFO::Fitting model to feature number 415, F435
## 2024-06-26 20:21:28.048472 INFO::Fitting model to feature number 416, F436
## 2024-06-26 20:21:28.058708 INFO::Fitting model to feature number 417, F437
## 2024-06-26 20:21:28.06929 INFO::Fitting model to feature number 418, F438
## 2024-06-26 20:21:28.078391 INFO::Fitting model to feature number 419, F439
## 2024-06-26 20:21:28.088272 INFO::Fitting model to feature number 420, F440
## 2024-06-26 20:21:28.097804 INFO::Fitting model to feature number 421, F441
## 2024-06-26 20:21:28.108415 INFO::Fitting model to feature number 422, F442
## 2024-06-26 20:21:28.117938 INFO::Fitting model to feature number 423, F443
## 2024-06-26 20:21:28.127649 INFO::Fitting model to feature number 424, F444
## 2024-06-26 20:21:28.137444 INFO::Fitting model to feature number 425, F445
## 2024-06-26 20:21:28.179724 INFO::Fitting model to feature number 426, F446
## 2024-06-26 20:21:28.189486 INFO::Fitting model to feature number 427, F447
## 2024-06-26 20:21:28.199193 INFO::Fitting model to feature number 428, F448
## 2024-06-26 20:21:28.209386 INFO::Fitting model to feature number 429, F449
## 2024-06-26 20:21:28.21949 INFO::Fitting model to feature number 430, F450
## 2024-06-26 20:21:28.230343 INFO::Fitting model to feature number 431, F451
## 2024-06-26 20:21:28.240499 INFO::Fitting model to feature number 432, F452
## 2024-06-26 20:21:28.250415 INFO::Fitting model to feature number 433, F454
## 2024-06-26 20:21:28.260483 INFO::Fitting model to feature number 434, F455
## 2024-06-26 20:21:28.269978 INFO::Fitting model to feature number 435, F456
## 2024-06-26 20:21:28.281485 INFO::Fitting model to feature number 436, F457
## 2024-06-26 20:21:28.291077 INFO::Fitting model to feature number 437, F458
## 2024-06-26 20:21:28.300934 INFO::Fitting model to feature number 438, F459
## 2024-06-26 20:21:28.311214 INFO::Fitting model to feature number 439, F461
## 2024-06-26 20:21:28.321531 INFO::Fitting model to feature number 440, F462
## 2024-06-26 20:21:28.333281 INFO::Fitting model to feature number 441, F463
## 2024-06-26 20:21:28.344073 INFO::Fitting model to feature number 442, F464
## 2024-06-26 20:21:28.354354 INFO::Fitting model to feature number 443, F465
## 2024-06-26 20:21:28.365319 INFO::Fitting model to feature number 444, F466
## 2024-06-26 20:21:28.375451 INFO::Fitting model to feature number 445, F467
## 2024-06-26 20:21:28.385623 INFO::Fitting model to feature number 446, F468
## 2024-06-26 20:21:28.395258 INFO::Fitting model to feature number 447, F469
## 2024-06-26 20:21:28.405848 INFO::Fitting model to feature number 448, F470
## 2024-06-26 20:21:28.415427 INFO::Fitting model to feature number 449, F471
## 2024-06-26 20:21:28.425632 INFO::Fitting model to feature number 450, F474
## 2024-06-26 20:21:28.435581 INFO::Fitting model to feature number 451, F475
## 2024-06-26 20:21:28.44515 INFO::Fitting model to feature number 452, F476
## 2024-06-26 20:21:28.455456 INFO::Fitting model to feature number 453, F477
## 2024-06-26 20:21:28.465791 INFO::Fitting model to feature number 454, F478
## 2024-06-26 20:21:28.475295 INFO::Fitting model to feature number 455, F479
## 2024-06-26 20:21:28.485305 INFO::Fitting model to feature number 456, F480
## 2024-06-26 20:21:28.495028 INFO::Fitting model to feature number 457, F481
## 2024-06-26 20:21:28.50476 INFO::Fitting model to feature number 458, F482
## 2024-06-26 20:21:28.513405 INFO::Fitting model to feature number 459, F483
## 2024-06-26 20:21:28.523157 INFO::Fitting model to feature number 460, F484
## 2024-06-26 20:21:28.532798 INFO::Fitting model to feature number 461, F485
## 2024-06-26 20:21:28.543274 INFO::Fitting model to feature number 462, F486
## 2024-06-26 20:21:28.552757 INFO::Fitting model to feature number 463, F487
## 2024-06-26 20:21:28.562427 INFO::Fitting model to feature number 464, F488
## 2024-06-26 20:21:28.572145 INFO::Fitting model to feature number 465, F489
## 2024-06-26 20:21:28.582396 INFO::Fitting model to feature number 466, F490
## 2024-06-26 20:21:28.592064 INFO::Fitting model to feature number 467, F491
## 2024-06-26 20:21:28.601582 INFO::Fitting model to feature number 468, F492
## 2024-06-26 20:21:28.61227 INFO::Fitting model to feature number 469, F493
## 2024-06-26 20:21:28.622905 INFO::Fitting model to feature number 470, F494
## 2024-06-26 20:21:28.632464 INFO::Fitting model to feature number 471, F495
## 2024-06-26 20:21:28.642154 INFO::Fitting model to feature number 472, F496
## 2024-06-26 20:21:28.652004 INFO::Fitting model to feature number 473, F497
## 2024-06-26 20:21:28.662485 INFO::Fitting model to feature number 474, F498
## 2024-06-26 20:21:28.672758 INFO::Fitting model to feature number 475, F499
## 2024-06-26 20:21:28.684021 INFO::Fitting model to feature number 476, F500
## 2024-06-26 20:21:28.694772 INFO::Fitting model to feature number 477, F501
## 2024-06-26 20:21:28.70568 INFO::Fitting model to feature number 478, F502
## 2024-06-26 20:21:28.716053 INFO::Fitting model to feature number 479, F503
## 2024-06-26 20:21:28.726723 INFO::Fitting model to feature number 480, F504
## 2024-06-26 20:21:28.737572 INFO::Fitting model to feature number 481, F505
## 2024-06-26 20:21:28.747928 INFO::Fitting model to feature number 482, F506
## 2024-06-26 20:21:28.758039 INFO::Fitting model to feature number 483, F507
## 2024-06-26 20:21:28.767385 INFO::Fitting model to feature number 484, F508
## 2024-06-26 20:21:28.777089 INFO::Fitting model to feature number 485, F509
## 2024-06-26 20:21:28.787533 INFO::Fitting model to feature number 486, F510
## 2024-06-26 20:21:28.798001 INFO::Fitting model to feature number 487, F511
## 2024-06-26 20:21:28.808656 INFO::Fitting model to feature number 488, F512
## 2024-06-26 20:21:28.818772 INFO::Fitting model to feature number 489, F513
## 2024-06-26 20:21:28.829506 INFO::Fitting model to feature number 490, F514
## 2024-06-26 20:21:28.839332 INFO::Fitting model to feature number 491, F515
## 2024-06-26 20:21:28.849318 INFO::Fitting model to feature number 492, F516
## 2024-06-26 20:21:28.859113 INFO::Fitting model to feature number 493, F517
## 2024-06-26 20:21:28.870736 INFO::Fitting model to feature number 494, F518
## 2024-06-26 20:21:28.880689 INFO::Fitting model to feature number 495, F519
## 2024-06-26 20:21:28.890941 INFO::Fitting model to feature number 496, F520
## 2024-06-26 20:21:28.901203 INFO::Fitting model to feature number 497, F521
## 2024-06-26 20:21:28.912569 INFO::Fitting model to feature number 498, F522
## 2024-06-26 20:21:28.922192 INFO::Fitting model to feature number 499, F523
## 2024-06-26 20:21:28.933068 INFO::Fitting model to feature number 500, F524
## 2024-06-26 20:21:28.943125 INFO::Fitting model to feature number 501, F525
## 2024-06-26 20:21:28.952884 INFO::Fitting model to feature number 502, F526
## 2024-06-26 20:21:28.964239 INFO::Fitting model to feature number 503, F527
## 2024-06-26 20:21:28.974488 INFO::Fitting model to feature number 504, F528
## 2024-06-26 20:21:28.984381 INFO::Fitting model to feature number 505, F529
## 2024-06-26 20:21:28.994175 INFO::Fitting model to feature number 506, F530
## 2024-06-26 20:21:29.004219 INFO::Fitting model to feature number 507, F531
## 2024-06-26 20:21:29.014643 INFO::Fitting model to feature number 508, F532
## 2024-06-26 20:21:29.025478 INFO::Fitting model to feature number 509, F533
## 2024-06-26 20:21:29.036346 INFO::Fitting model to feature number 510, F534
## 2024-06-26 20:21:29.046572 INFO::Fitting model to feature number 511, F535
## 2024-06-26 20:21:29.080777 INFO::Fitting model to feature number 512, F536
## 2024-06-26 20:21:29.091129 INFO::Fitting model to feature number 513, F537
## 2024-06-26 20:21:29.10227 INFO::Fitting model to feature number 514, F539
## 2024-06-26 20:21:29.113306 INFO::Fitting model to feature number 515, F540
## 2024-06-26 20:21:29.124377 INFO::Fitting model to feature number 516, F541
## 2024-06-26 20:21:29.134367 INFO::Fitting model to feature number 517, F543
## 2024-06-26 20:21:29.14545 INFO::Fitting model to feature number 518, F544
## 2024-06-26 20:21:29.155187 INFO::Fitting model to feature number 519, F545
## 2024-06-26 20:21:29.164956 INFO::Fitting model to feature number 520, F546
## 2024-06-26 20:21:29.176106 INFO::Fitting model to feature number 521, F547
## 2024-06-26 20:21:29.186646 INFO::Fitting model to feature number 522, F548
## 2024-06-26 20:21:29.196824 INFO::Fitting model to feature number 523, F549
## 2024-06-26 20:21:29.207601 INFO::Fitting model to feature number 524, F550
## 2024-06-26 20:21:29.21765 INFO::Fitting model to feature number 525, F551
## 2024-06-26 20:21:29.228211 INFO::Fitting model to feature number 526, F552
## 2024-06-26 20:21:29.238438 INFO::Fitting model to feature number 527, F553
## 2024-06-26 20:21:29.248759 INFO::Fitting model to feature number 528, F554
## 2024-06-26 20:21:29.258591 INFO::Fitting model to feature number 529, F555
## 2024-06-26 20:21:29.268552 INFO::Fitting model to feature number 530, F556
## 2024-06-26 20:21:29.278748 INFO::Fitting model to feature number 531, F557
## 2024-06-26 20:21:29.28897 INFO::Fitting model to feature number 532, F558
## 2024-06-26 20:21:29.299817 INFO::Fitting model to feature number 533, F559
## 2024-06-26 20:21:29.309935 INFO::Fitting model to feature number 534, F560
## 2024-06-26 20:21:29.320051 INFO::Fitting model to feature number 535, F561
## 2024-06-26 20:21:29.330332 INFO::Fitting model to feature number 536, F562
## 2024-06-26 20:21:29.339959 INFO::Fitting model to feature number 537, F563
## 2024-06-26 20:21:29.350044 INFO::Fitting model to feature number 538, F564
## 2024-06-26 20:21:29.360208 INFO::Fitting model to feature number 539, F566
## 2024-06-26 20:21:29.370828 INFO::Fitting model to feature number 540, F567
## 2024-06-26 20:21:29.381445 INFO::Fitting model to feature number 541, F568
## 2024-06-26 20:21:29.392197 INFO::Fitting model to feature number 542, F569
## 2024-06-26 20:21:29.402024 INFO::Fitting model to feature number 543, F570
## 2024-06-26 20:21:29.412375 INFO::Fitting model to feature number 544, F571
## 2024-06-26 20:21:29.422561 INFO::Fitting model to feature number 545, F572
## 2024-06-26 20:21:29.432669 INFO::Fitting model to feature number 546, F573
## 2024-06-26 20:21:29.443218 INFO::Fitting model to feature number 547, F574
## 2024-06-26 20:21:29.453502 INFO::Fitting model to feature number 548, F575
## 2024-06-26 20:21:29.463949 INFO::Fitting model to feature number 549, F576
## 2024-06-26 20:21:29.473648 INFO::Fitting model to feature number 550, F577
## 2024-06-26 20:21:29.543152 INFO::Fitting model to feature number 551, F578
## 2024-06-26 20:21:29.604101 INFO::Fitting model to feature number 552, F579
## 2024-06-26 20:21:29.614174 INFO::Fitting model to feature number 553, F580
## 2024-06-26 20:21:29.62327 INFO::Fitting model to feature number 554, F581
## 2024-06-26 20:21:29.632749 INFO::Fitting model to feature number 555, F582
## 2024-06-26 20:21:29.642324 INFO::Fitting model to feature number 556, F583
## 2024-06-26 20:21:29.652652 INFO::Fitting model to feature number 557, F584
## 2024-06-26 20:21:29.662684 INFO::Fitting model to feature number 558, F585
## 2024-06-26 20:21:29.673389 INFO::Fitting model to feature number 559, F586
## 2024-06-26 20:21:29.684236 INFO::Fitting model to feature number 560, F587
## 2024-06-26 20:21:29.694509 INFO::Fitting model to feature number 561, F588
## 2024-06-26 20:21:29.746674 INFO::Fitting model to feature number 562, F589
## 2024-06-26 20:21:29.911983 INFO::Fitting model to feature number 563, F590
## 2024-06-26 20:21:29.922379 INFO::Fitting model to feature number 564, F591
## 2024-06-26 20:21:29.963603 INFO::Fitting model to feature number 565, F592
## 2024-06-26 20:21:29.973735 INFO::Fitting model to feature number 566, F593
## 2024-06-26 20:21:29.984229 INFO::Fitting model to feature number 567, F594
## 2024-06-26 20:21:29.994055 INFO::Fitting model to feature number 568, F595
## 2024-06-26 20:21:30.002902 INFO::Fitting model to feature number 569, F596
## 2024-06-26 20:21:30.012054 INFO::Fitting model to feature number 570, F597
## 2024-06-26 20:21:30.021646 INFO::Fitting model to feature number 571, F598
## 2024-06-26 20:21:30.031427 INFO::Fitting model to feature number 572, F599
## 2024-06-26 20:21:30.040075 INFO::Fitting model to feature number 573, F600
## 2024-06-26 20:21:30.048413 INFO::Fitting model to feature number 574, F601
## 2024-06-26 20:21:30.057363 INFO::Fitting model to feature number 575, F602
## 2024-06-26 20:21:30.067269 INFO::Fitting model to feature number 576, F603
## 2024-06-26 20:21:30.077092 INFO::Fitting model to feature number 577, F605
## 2024-06-26 20:21:30.086496 INFO::Fitting model to feature number 578, F606
## 2024-06-26 20:21:30.115182 INFO::Fitting model to feature number 579, F607
## 2024-06-26 20:21:30.124757 INFO::Fitting model to feature number 580, F608
## 2024-06-26 20:21:30.133991 INFO::Fitting model to feature number 581, F609
## 2024-06-26 20:21:30.143815 INFO::Fitting model to feature number 582, F610
## 2024-06-26 20:21:30.153861 INFO::Fitting model to feature number 583, F611
## 2024-06-26 20:21:30.163967 INFO::Fitting model to feature number 584, F612
## 2024-06-26 20:21:30.174211 INFO::Fitting model to feature number 585, F613
## 2024-06-26 20:21:30.183929 INFO::Fitting model to feature number 586, F614
## 2024-06-26 20:21:30.193688 INFO::Fitting model to feature number 587, F615
## 2024-06-26 20:21:30.202946 INFO::Fitting model to feature number 588, F616
## 2024-06-26 20:21:30.21294 INFO::Fitting model to feature number 589, F617
## 2024-06-26 20:21:30.222694 INFO::Fitting model to feature number 590, F618
## 2024-06-26 20:21:30.232311 INFO::Fitting model to feature number 591, F619
## 2024-06-26 20:21:30.24151 INFO::Fitting model to feature number 592, F620
## 2024-06-26 20:21:30.249905 INFO::Fitting model to feature number 593, F621
## 2024-06-26 20:21:30.258671 INFO::Fitting model to feature number 594, F622
## 2024-06-26 20:21:30.268208 INFO::Fitting model to feature number 595, F623
## 2024-06-26 20:21:30.280139 INFO::Fitting model to feature number 596, F624
## 2024-06-26 20:21:30.290495 INFO::Fitting model to feature number 597, F625
## 2024-06-26 20:21:30.29929 INFO::Fitting model to feature number 598, F626
## 2024-06-26 20:21:30.308457 INFO::Fitting model to feature number 599, F627
## 2024-06-26 20:21:30.321872 INFO::Fitting model to feature number 600, F628
## 2024-06-26 20:21:30.331032 INFO::Fitting model to feature number 601, F629
## 2024-06-26 20:21:30.342502 INFO::Fitting model to feature number 602, F630
## 2024-06-26 20:21:30.353189 INFO::Fitting model to feature number 603, F631
## 2024-06-26 20:21:30.365585 INFO::Fitting model to feature number 604, F632
## 2024-06-26 20:21:30.379176 INFO::Fitting model to feature number 605, F633
## 2024-06-26 20:21:30.394031 INFO::Fitting model to feature number 606, F634
## 2024-06-26 20:21:30.404242 INFO::Fitting model to feature number 607, F635
## 2024-06-26 20:21:30.413069 INFO::Fitting model to feature number 608, F636
## 2024-06-26 20:21:30.422074 INFO::Fitting model to feature number 609, F637
## 2024-06-26 20:21:30.431863 INFO::Fitting model to feature number 610, F638
## 2024-06-26 20:21:30.441651 INFO::Fitting model to feature number 611, F639
## 2024-06-26 20:21:30.451306 INFO::Fitting model to feature number 612, F640
## 2024-06-26 20:21:30.461628 INFO::Fitting model to feature number 613, F641
## 2024-06-26 20:21:30.471088 INFO::Fitting model to feature number 614, F642
## 2024-06-26 20:21:30.480283 INFO::Fitting model to feature number 615, F643
## 2024-06-26 20:21:30.489661 INFO::Fitting model to feature number 616, F644
## 2024-06-26 20:21:30.498963 INFO::Fitting model to feature number 617, F645
## 2024-06-26 20:21:30.508506 INFO::Fitting model to feature number 618, F646
## 2024-06-26 20:21:30.519237 INFO::Fitting model to feature number 619, F647
## 2024-06-26 20:21:30.530176 INFO::Fitting model to feature number 620, F648
## 2024-06-26 20:21:30.541364 INFO::Fitting model to feature number 621, F649
## 2024-06-26 20:21:30.550667 INFO::Fitting model to feature number 622, F650
## 2024-06-26 20:21:30.560234 INFO::Fitting model to feature number 623, F651
## 2024-06-26 20:21:30.569781 INFO::Fitting model to feature number 624, F652
## 2024-06-26 20:21:30.580902 INFO::Fitting model to feature number 625, F653
## 2024-06-26 20:21:30.591213 INFO::Fitting model to feature number 626, F654
## 2024-06-26 20:21:30.600597 INFO::Fitting model to feature number 627, F655
## 2024-06-26 20:21:30.609707 INFO::Fitting model to feature number 628, F656
## 2024-06-26 20:21:30.619894 INFO::Fitting model to feature number 629, F657
## 2024-06-26 20:21:30.630662 INFO::Fitting model to feature number 630, F658
## 2024-06-26 20:21:30.639596 INFO::Fitting model to feature number 631, F659
## 2024-06-26 20:21:30.649362 INFO::Fitting model to feature number 632, F660
## 2024-06-26 20:21:30.659259 INFO::Fitting model to feature number 633, F661
## 2024-06-26 20:21:30.669356 INFO::Fitting model to feature number 634, F662
## 2024-06-26 20:21:30.679089 INFO::Fitting model to feature number 635, F663
## 2024-06-26 20:21:30.688751 INFO::Fitting model to feature number 636, F664
## 2024-06-26 20:21:30.6978 INFO::Fitting model to feature number 637, F665
## 2024-06-26 20:21:30.70733 INFO::Fitting model to feature number 638, F666
## 2024-06-26 20:21:30.717593 INFO::Fitting model to feature number 639, F667
## 2024-06-26 20:21:30.727006 INFO::Fitting model to feature number 640, F668
## 2024-06-26 20:21:30.736893 INFO::Fitting model to feature number 641, F669
## 2024-06-26 20:21:30.746905 INFO::Fitting model to feature number 642, F670
## 2024-06-26 20:21:30.75619 INFO::Fitting model to feature number 643, F671
## 2024-06-26 20:21:30.765377 INFO::Fitting model to feature number 644, F672
## 2024-06-26 20:21:30.77475 INFO::Fitting model to feature number 645, F673
## 2024-06-26 20:21:30.784355 INFO::Fitting model to feature number 646, F674
## 2024-06-26 20:21:30.793346 INFO::Fitting model to feature number 647, F675
## 2024-06-26 20:21:30.80452 INFO::Fitting model to feature number 648, F676
## 2024-06-26 20:21:30.813616 INFO::Fitting model to feature number 649, F677
## 2024-06-26 20:21:30.823088 INFO::Fitting model to feature number 650, F678
## 2024-06-26 20:21:30.832909 INFO::Fitting model to feature number 651, F679
## 2024-06-26 20:21:30.842441 INFO::Fitting model to feature number 652, F680
## 2024-06-26 20:21:30.851915 INFO::Fitting model to feature number 653, F681
## 2024-06-26 20:21:30.861708 INFO::Fitting model to feature number 654, F682
## 2024-06-26 20:21:30.871177 INFO::Fitting model to feature number 655, F683
## 2024-06-26 20:21:30.88071 INFO::Fitting model to feature number 656, F684
## 2024-06-26 20:21:30.890229 INFO::Fitting model to feature number 657, F685
## 2024-06-26 20:21:30.900058 INFO::Fitting model to feature number 658, F686
## 2024-06-26 20:21:30.910092 INFO::Fitting model to feature number 659, F687
## 2024-06-26 20:21:30.919442 INFO::Fitting model to feature number 660, F688
## 2024-06-26 20:21:30.929169 INFO::Fitting model to feature number 661, F689
## 2024-06-26 20:21:30.938871 INFO::Fitting model to feature number 662, F690
## 2024-06-26 20:21:30.948735 INFO::Fitting model to feature number 663, F691
## 2024-06-26 20:21:30.958336 INFO::Fitting model to feature number 664, F692
## 2024-06-26 20:21:30.968169 INFO::Fitting model to feature number 665, F693
## 2024-06-26 20:21:30.977883 INFO::Fitting model to feature number 666, F694
## 2024-06-26 20:21:30.987454 INFO::Fitting model to feature number 667, F695
## 2024-06-26 20:21:30.997012 INFO::Fitting model to feature number 668, F696
## 2024-06-26 20:21:31.006653 INFO::Fitting model to feature number 669, F697
## 2024-06-26 20:21:31.016003 INFO::Fitting model to feature number 670, F698
## 2024-06-26 20:21:31.025861 INFO::Fitting model to feature number 671, F699
## 2024-06-26 20:21:31.036021 INFO::Fitting model to feature number 672, F700
## 2024-06-26 20:21:31.045001 INFO::Fitting model to feature number 673, F701
## 2024-06-26 20:21:31.054536 INFO::Fitting model to feature number 674, F702
## 2024-06-26 20:21:31.064924 INFO::Fitting model to feature number 675, F704
## 2024-06-26 20:21:31.073777 INFO::Fitting model to feature number 676, F705
## 2024-06-26 20:21:31.083901 INFO::Fitting model to feature number 677, F706
## 2024-06-26 20:21:31.09306 INFO::Fitting model to feature number 678, F707
## 2024-06-26 20:21:31.104012 INFO::Fitting model to feature number 679, F708
## 2024-06-26 20:21:31.114296 INFO::Fitting model to feature number 680, F709
## 2024-06-26 20:21:31.123544 INFO::Fitting model to feature number 681, F710
## 2024-06-26 20:21:31.133022 INFO::Fitting model to feature number 682, F711
## 2024-06-26 20:21:31.141983 INFO::Fitting model to feature number 683, F712
## 2024-06-26 20:21:31.151773 INFO::Fitting model to feature number 684, F713
## 2024-06-26 20:21:31.161171 INFO::Fitting model to feature number 685, F714
## 2024-06-26 20:21:31.171266 INFO::Fitting model to feature number 686, F715
## 2024-06-26 20:21:31.180711 INFO::Fitting model to feature number 687, F716
## 2024-06-26 20:21:31.190019 INFO::Fitting model to feature number 688, F717
## 2024-06-26 20:21:31.199296 INFO::Fitting model to feature number 689, F718
## 2024-06-26 20:21:31.208519 INFO::Fitting model to feature number 690, F719
## 2024-06-26 20:21:31.216994 INFO::Fitting model to feature number 691, F720
## 2024-06-26 20:21:31.225851 INFO::Fitting model to feature number 692, F721
## 2024-06-26 20:21:31.234762 INFO::Fitting model to feature number 693, F722
## 2024-06-26 20:21:31.244035 INFO::Fitting model to feature number 694, F723
## 2024-06-26 20:21:31.253953 INFO::Fitting model to feature number 695, F724
## 2024-06-26 20:21:31.262898 INFO::Fitting model to feature number 696, F725
## 2024-06-26 20:21:31.272643 INFO::Fitting model to feature number 697, F726
## 2024-06-26 20:21:31.281902 INFO::Fitting model to feature number 698, F727
## 2024-06-26 20:21:31.291442 INFO::Fitting model to feature number 699, F728
## 2024-06-26 20:21:31.30076 INFO::Fitting model to feature number 700, F729
## 2024-06-26 20:21:31.311394 INFO::Fitting model to feature number 701, F730
## 2024-06-26 20:21:31.323485 INFO::Fitting model to feature number 702, F731
## 2024-06-26 20:21:31.333442 INFO::Fitting model to feature number 703, F732
## 2024-06-26 20:21:31.343378 INFO::Fitting model to feature number 704, F733
## 2024-06-26 20:21:31.353224 INFO::Fitting model to feature number 705, F734
## 2024-06-26 20:21:31.362644 INFO::Fitting model to feature number 706, F735
## 2024-06-26 20:21:31.371859 INFO::Fitting model to feature number 707, F736
## 2024-06-26 20:21:31.381645 INFO::Fitting model to feature number 708, F737
## 2024-06-26 20:21:31.39263 INFO::Fitting model to feature number 709, F739
## 2024-06-26 20:21:31.402273 INFO::Fitting model to feature number 710, F740
## 2024-06-26 20:21:31.41217 INFO::Fitting model to feature number 711, F741
## 2024-06-26 20:21:31.422616 INFO::Fitting model to feature number 712, F742
## 2024-06-26 20:21:31.432207 INFO::Fitting model to feature number 713, F743
## 2024-06-26 20:21:31.443402 INFO::Fitting model to feature number 714, F744
## 2024-06-26 20:21:31.45331 INFO::Fitting model to feature number 715, F745
## 2024-06-26 20:21:31.464816 INFO::Fitting model to feature number 716, F746
## 2024-06-26 20:21:31.47456 INFO::Fitting model to feature number 717, F747
## 2024-06-26 20:21:31.484365 INFO::Fitting model to feature number 718, F748
## 2024-06-26 20:21:31.493328 INFO::Fitting model to feature number 719, F749
## 2024-06-26 20:21:31.505714 INFO::Fitting model to feature number 720, F750
## 2024-06-26 20:21:31.516494 INFO::Fitting model to feature number 721, F751
## 2024-06-26 20:21:31.526931 INFO::Fitting model to feature number 722, F752
## 2024-06-26 20:21:31.536007 INFO::Fitting model to feature number 723, F753
## 2024-06-26 20:21:31.545826 INFO::Fitting model to feature number 724, F754
## 2024-06-26 20:21:31.55642 INFO::Fitting model to feature number 725, F755
## 2024-06-26 20:21:31.566552 INFO::Fitting model to feature number 726, F756
## 2024-06-26 20:21:31.576751 INFO::Fitting model to feature number 727, F757
## 2024-06-26 20:21:31.58659 INFO::Fitting model to feature number 728, F758
## 2024-06-26 20:21:31.597217 INFO::Fitting model to feature number 729, F759
## 2024-06-26 20:21:31.608488 INFO::Fitting model to feature number 730, F760
## 2024-06-26 20:21:31.619525 INFO::Fitting model to feature number 731, F761
## 2024-06-26 20:21:31.629568 INFO::Fitting model to feature number 732, F762
## 2024-06-26 20:21:31.639761 INFO::Fitting model to feature number 733, F763
## 2024-06-26 20:21:31.649786 INFO::Fitting model to feature number 734, F764
## 2024-06-26 20:21:31.659333 INFO::Fitting model to feature number 735, F765
## 2024-06-26 20:21:31.669363 INFO::Fitting model to feature number 736, F766
## 2024-06-26 20:21:31.678648 INFO::Fitting model to feature number 737, F767
## 2024-06-26 20:21:31.689621 INFO::Fitting model to feature number 738, F768
## 2024-06-26 20:21:31.69982 INFO::Fitting model to feature number 739, F769
## 2024-06-26 20:21:31.709783 INFO::Fitting model to feature number 740, F770
## 2024-06-26 20:21:31.719548 INFO::Fitting model to feature number 741, F771
## 2024-06-26 20:21:31.729084 INFO::Fitting model to feature number 742, F772
## 2024-06-26 20:21:31.739125 INFO::Fitting model to feature number 743, F773
## 2024-06-26 20:21:31.749957 INFO::Fitting model to feature number 744, F774
## 2024-06-26 20:21:31.758923 INFO::Fitting model to feature number 745, F775
## 2024-06-26 20:21:31.768589 INFO::Fitting model to feature number 746, F776
## 2024-06-26 20:21:31.778422 INFO::Fitting model to feature number 747, F777
## 2024-06-26 20:21:31.787847 INFO::Fitting model to feature number 748, F778
## 2024-06-26 20:21:31.797352 INFO::Fitting model to feature number 749, F779
## 2024-06-26 20:21:31.807119 INFO::Fitting model to feature number 750, F780
## 2024-06-26 20:21:31.817124 INFO::Fitting model to feature number 751, F781
## 2024-06-26 20:21:31.826997 INFO::Fitting model to feature number 752, F782
## 2024-06-26 20:21:31.83634 INFO::Fitting model to feature number 753, F783
## 2024-06-26 20:21:31.845933 INFO::Fitting model to feature number 754, F784
## 2024-06-26 20:21:31.855656 INFO::Fitting model to feature number 755, F785
## 2024-06-26 20:21:31.865103 INFO::Fitting model to feature number 756, F786
## 2024-06-26 20:21:31.87468 INFO::Fitting model to feature number 757, F787
## 2024-06-26 20:21:31.884525 INFO::Fitting model to feature number 758, F788
## 2024-06-26 20:21:31.895358 INFO::Fitting model to feature number 759, F789
## 2024-06-26 20:21:31.905087 INFO::Fitting model to feature number 760, F790
## 2024-06-26 20:21:31.915269 INFO::Fitting model to feature number 761, F791
## 2024-06-26 20:21:31.924606 INFO::Fitting model to feature number 762, F792
## 2024-06-26 20:21:31.935257 INFO::Fitting model to feature number 763, F793
## 2024-06-26 20:21:31.947016 INFO::Fitting model to feature number 764, F794
## 2024-06-26 20:21:31.957673 INFO::Fitting model to feature number 765, F795
## 2024-06-26 20:21:31.968249 INFO::Fitting model to feature number 766, F796
## 2024-06-26 20:21:31.978717 INFO::Fitting model to feature number 767, F797
## 2024-06-26 20:21:31.98985 INFO::Fitting model to feature number 768, F798
## 2024-06-26 20:21:32.000507 INFO::Fitting model to feature number 769, F799
## 2024-06-26 20:21:32.011143 INFO::Fitting model to feature number 770, F800
## 2024-06-26 20:21:32.021398 INFO::Fitting model to feature number 771, F801
## 2024-06-26 20:21:32.032393 INFO::Fitting model to feature number 772, F802
## 2024-06-26 20:21:32.044816 INFO::Fitting model to feature number 773, F803
## 2024-06-26 20:21:32.054686 INFO::Fitting model to feature number 774, F804
## 2024-06-26 20:21:32.064857 INFO::Fitting model to feature number 775, F805
## 2024-06-26 20:21:32.078974 INFO::Fitting model to feature number 776, F806
## 2024-06-26 20:21:32.089508 INFO::Fitting model to feature number 777, F808
## 2024-06-26 20:21:32.099388 INFO::Fitting model to feature number 778, F809
## 2024-06-26 20:21:32.109833 INFO::Fitting model to feature number 779, F810
## 2024-06-26 20:21:32.12007 INFO::Fitting model to feature number 780, F811
## 2024-06-26 20:21:32.129757 INFO::Fitting model to feature number 781, F812
## 2024-06-26 20:21:32.139771 INFO::Fitting model to feature number 782, F813
## 2024-06-26 20:21:32.149628 INFO::Fitting model to feature number 783, F814
## 2024-06-26 20:21:32.16015 INFO::Fitting model to feature number 784, F815
## 2024-06-26 20:21:32.170193 INFO::Fitting model to feature number 785, F816
## 2024-06-26 20:21:32.180712 INFO::Fitting model to feature number 786, F817
## 2024-06-26 20:21:32.190547 INFO::Fitting model to feature number 787, F818
## 2024-06-26 20:21:32.200371 INFO::Fitting model to feature number 788, F819
## 2024-06-26 20:21:32.210746 INFO::Fitting model to feature number 789, F820
## 2024-06-26 20:21:32.220449 INFO::Fitting model to feature number 790, F821
## 2024-06-26 20:21:32.23034 INFO::Fitting model to feature number 791, F822
## 2024-06-26 20:21:32.239415 INFO::Fitting model to feature number 792, F823
## 2024-06-26 20:21:32.249391 INFO::Fitting model to feature number 793, F824
## 2024-06-26 20:21:32.259827 INFO::Fitting model to feature number 794, F825
## 2024-06-26 20:21:32.269146 INFO::Fitting model to feature number 795, F826
## 2024-06-26 20:21:32.278652 INFO::Fitting model to feature number 796, F827
## 2024-06-26 20:21:32.2881 INFO::Fitting model to feature number 797, F828
## 2024-06-26 20:21:32.297322 INFO::Fitting model to feature number 798, F829
## 2024-06-26 20:21:32.306927 INFO::Fitting model to feature number 799, F830
## 2024-06-26 20:21:32.314883 INFO::Fitting model to feature number 800, F831
## 2024-06-26 20:21:32.324571 INFO::Fitting model to feature number 801, F832
## 2024-06-26 20:21:32.333551 INFO::Fitting model to feature number 802, F833
## 2024-06-26 20:21:32.342735 INFO::Fitting model to feature number 803, F834
## 2024-06-26 20:21:32.352466 INFO::Fitting model to feature number 804, F835
## 2024-06-26 20:21:32.362648 INFO::Fitting model to feature number 805, F836
## 2024-06-26 20:21:32.372236 INFO::Fitting model to feature number 806, F837
## 2024-06-26 20:21:32.384507 INFO::Fitting model to feature number 807, F838
## 2024-06-26 20:21:32.393978 INFO::Fitting model to feature number 808, F839
## 2024-06-26 20:21:32.403246 INFO::Fitting model to feature number 809, F840
## 2024-06-26 20:21:32.412612 INFO::Fitting model to feature number 810, F841
## 2024-06-26 20:21:32.421805 INFO::Fitting model to feature number 811, F842
## 2024-06-26 20:21:32.432667 INFO::Fitting model to feature number 812, F843
## 2024-06-26 20:21:32.443559 INFO::Fitting model to feature number 813, F844
## 2024-06-26 20:21:32.453744 INFO::Fitting model to feature number 814, F845
## 2024-06-26 20:21:32.462859 INFO::Fitting model to feature number 815, F846
## 2024-06-26 20:21:32.472827 INFO::Fitting model to feature number 816, F847
## 2024-06-26 20:21:32.483117 INFO::Fitting model to feature number 817, F848
## 2024-06-26 20:21:32.492901 INFO::Fitting model to feature number 818, F849
## 2024-06-26 20:21:32.502098 INFO::Fitting model to feature number 819, F850
## 2024-06-26 20:21:32.512002 INFO::Fitting model to feature number 820, F851
## 2024-06-26 20:21:32.521985 INFO::Fitting model to feature number 821, F852
## 2024-06-26 20:21:32.531955 INFO::Fitting model to feature number 822, F853
## 2024-06-26 20:21:32.541063 INFO::Fitting model to feature number 823, F854
## 2024-06-26 20:21:32.550823 INFO::Fitting model to feature number 824, F855
## 2024-06-26 20:21:32.560686 INFO::Fitting model to feature number 825, F856
## 2024-06-26 20:21:32.569541 INFO::Fitting model to feature number 826, F857
## 2024-06-26 20:21:32.579459 INFO::Fitting model to feature number 827, F858
## 2024-06-26 20:21:32.589077 INFO::Fitting model to feature number 828, F859
## 2024-06-26 20:21:32.598757 INFO::Fitting model to feature number 829, F860
## 2024-06-26 20:21:32.607801 INFO::Fitting model to feature number 830, F861
## 2024-06-26 20:21:32.617026 INFO::Fitting model to feature number 831, F862
## 2024-06-26 20:21:32.626592 INFO::Fitting model to feature number 832, F863
## 2024-06-26 20:21:32.636152 INFO::Fitting model to feature number 833, F864
## 2024-06-26 20:21:32.646071 INFO::Fitting model to feature number 834, F865
## 2024-06-26 20:21:32.657336 INFO::Fitting model to feature number 835, F866
## 2024-06-26 20:21:32.66737 INFO::Fitting model to feature number 836, F867
## 2024-06-26 20:21:32.676968 INFO::Fitting model to feature number 837, F868
## 2024-06-26 20:21:32.685977 INFO::Fitting model to feature number 838, F869
## 2024-06-26 20:21:32.695507 INFO::Fitting model to feature number 839, F870
## 2024-06-26 20:21:32.704866 INFO::Fitting model to feature number 840, F871
## 2024-06-26 20:21:32.714284 INFO::Fitting model to feature number 841, F872
## 2024-06-26 20:21:32.723987 INFO::Fitting model to feature number 842, F873
## 2024-06-26 20:21:32.7336 INFO::Fitting model to feature number 843, F874
## 2024-06-26 20:21:32.742739 INFO::Fitting model to feature number 844, F875
## 2024-06-26 20:21:32.751685 INFO::Fitting model to feature number 845, F876
## 2024-06-26 20:21:32.760302 INFO::Fitting model to feature number 846, F877
## 2024-06-26 20:21:32.770256 INFO::Fitting model to feature number 847, F878
## 2024-06-26 20:21:32.780602 INFO::Fitting model to feature number 848, F879
## 2024-06-26 20:21:32.790939 INFO::Fitting model to feature number 849, F880
## 2024-06-26 20:21:32.800366 INFO::Fitting model to feature number 850, F881
## 2024-06-26 20:21:32.81139 INFO::Fitting model to feature number 851, F882
## 2024-06-26 20:21:32.821679 INFO::Fitting model to feature number 852, F883
## 2024-06-26 20:21:32.831981 INFO::Fitting model to feature number 853, F884
## 2024-06-26 20:21:32.84181 INFO::Fitting model to feature number 854, F885
## 2024-06-26 20:21:32.851237 INFO::Fitting model to feature number 855, F886
## 2024-06-26 20:21:32.861744 INFO::Fitting model to feature number 856, F887
## 2024-06-26 20:21:32.871347 INFO::Fitting model to feature number 857, F888
## 2024-06-26 20:21:32.880805 INFO::Fitting model to feature number 858, F889
## 2024-06-26 20:21:32.890432 INFO::Fitting model to feature number 859, F890
## 2024-06-26 20:21:32.899276 INFO::Fitting model to feature number 860, F891
## 2024-06-26 20:21:32.908745 INFO::Fitting model to feature number 861, F892
## 2024-06-26 20:21:32.918488 INFO::Fitting model to feature number 862, F893
## 2024-06-26 20:21:32.92777 INFO::Fitting model to feature number 863, F894
## 2024-06-26 20:21:32.937449 INFO::Fitting model to feature number 864, F895
## 2024-06-26 20:21:32.946671 INFO::Fitting model to feature number 865, F896
## 2024-06-26 20:21:32.95612 INFO::Fitting model to feature number 866, F897
## 2024-06-26 20:21:32.965066 INFO::Fitting model to feature number 867, F898
## 2024-06-26 20:21:32.973956 INFO::Fitting model to feature number 868, F899
## 2024-06-26 20:21:32.982574 INFO::Fitting model to feature number 869, F900
## 2024-06-26 20:21:33.565928 INFO::Counting total values for each feature
## 2024-06-26 20:21:33.964166 INFO::Writing filtered data to file Macarron_output/maaslin2_results/features/filtered_data.tsv
## 2024-06-26 20:21:34.219755 INFO::Writing filtered, normalized data to file Macarron_output/maaslin2_results/features/filtered_data_norm.tsv
## 2024-06-26 20:21:34.52685 INFO::Writing filtered, normalized, transformed data to file Macarron_output/maaslin2_results/features/filtered_data_norm_transformed.tsv
## 2024-06-26 20:21:34.780186 INFO::Writing residuals to file Macarron_output/maaslin2_results/fits/residuals.rds
## 2024-06-26 20:21:34.8615 INFO::Writing fitted values to file Macarron_output/maaslin2_results/fits/fitted.rds
## 2024-06-26 20:21:35.011349 INFO::Writing all results to file (ordered by increasing q-values): Macarron_output/maaslin2_results/all_results.tsv
## 2024-06-26 20:21:35.064844 INFO::Writing the significant results (those which are less than or equal to the threshold of 0.250000 ) to file (ordered by increasing q-values): Macarron_output/maaslin2_results/significant_results.tsv
## 2024-06-26 20:21:35.08843 INFO::Writing association plots (one for each significant association) to output folder: Macarron_output/maaslin2_results
## 2024-06-26 20:21:35.137894 INFO::Plotting associations from most to least significant, grouped by metadata
## 2024-06-26 20:21:35.164935 INFO::Plotting data for metadata number 1, diagnosis
## 2024-06-26 20:21:35.255788 INFO::Creating boxplot for categorical data, diagnosis vs F504
## 2024-06-26 20:21:36.007181 INFO::Creating boxplot for categorical data, diagnosis vs F859
## 2024-06-26 20:21:36.540922 INFO::Creating boxplot for categorical data, diagnosis vs F533
## 2024-06-26 20:21:37.032226 INFO::Creating boxplot for categorical data, diagnosis vs F587
## 2024-06-26 20:21:37.527196 INFO::Creating boxplot for categorical data, diagnosis vs F584
## 2024-06-26 20:21:37.98432 INFO::Creating boxplot for categorical data, diagnosis vs F197
## 2024-06-26 20:21:38.459183 INFO::Creating boxplot for categorical data, diagnosis vs F380
## 2024-06-26 20:21:38.912184 INFO::Creating boxplot for categorical data, diagnosis vs F829
## 2024-06-26 20:21:39.387621 INFO::Creating boxplot for categorical data, diagnosis vs F664
## 2024-06-26 20:21:39.866813 INFO::Creating boxplot for categorical data, diagnosis vs F93
## 2024-06-26 20:21:40.360546 INFO::Creating boxplot for categorical data, diagnosis vs F15
## 2024-06-26 20:21:40.833253 INFO::Creating boxplot for categorical data, diagnosis vs F881
## 2024-06-26 20:21:41.308575 INFO::Creating boxplot for categorical data, diagnosis vs F806
## 2024-06-26 20:21:41.774857 INFO::Creating boxplot for categorical data, diagnosis vs F78
## 2024-06-26 20:21:42.271855 INFO::Creating boxplot for categorical data, diagnosis vs F189
## 2024-06-26 20:21:42.748168 INFO::Creating boxplot for categorical data, diagnosis vs F369
## 2024-06-26 20:21:43.249041 INFO::Creating boxplot for categorical data, diagnosis vs F623
## 2024-06-26 20:21:43.81964 INFO::Creating boxplot for categorical data, diagnosis vs F710
## 2024-06-26 20:21:44.289397 INFO::Creating boxplot for categorical data, diagnosis vs F851
## 2024-06-26 20:21:44.788354 INFO::Creating boxplot for categorical data, diagnosis vs F257
## 2024-06-26 20:21:45.418718 INFO::Creating boxplot for categorical data, diagnosis vs F330
## 2024-06-26 20:21:45.883438 INFO::Creating boxplot for categorical data, diagnosis vs F344
## 2024-06-26 20:21:46.361952 INFO::Creating boxplot for categorical data, diagnosis vs F696
## 2024-06-26 20:21:46.857941 INFO::Creating boxplot for categorical data, diagnosis vs F741
## 2024-06-26 20:21:47.358849 INFO::Creating boxplot for categorical data, diagnosis vs F509
## 2024-06-26 20:21:47.879477 INFO::Creating boxplot for categorical data, diagnosis vs F479
## 2024-06-26 20:21:48.383826 INFO::Creating boxplot for categorical data, diagnosis vs F550
## 2024-06-26 20:21:48.863862 INFO::Creating boxplot for categorical data, diagnosis vs F640
## 2024-06-26 20:21:49.340835 INFO::Creating boxplot for categorical data, diagnosis vs F281
## 2024-06-26 20:21:49.81025 INFO::Creating boxplot for categorical data, diagnosis vs F80
## 2024-06-26 20:21:50.30333 INFO::Creating boxplot for categorical data, diagnosis vs F285
## 2024-06-26 20:21:50.790335 INFO::Creating boxplot for categorical data, diagnosis vs F531
## 2024-06-26 20:21:51.24667 INFO::Creating boxplot for categorical data, diagnosis vs F737
## 2024-06-26 20:21:51.701877 INFO::Creating boxplot for categorical data, diagnosis vs F875
## 2024-06-26 20:21:52.178215 INFO::Creating boxplot for categorical data, diagnosis vs F864
## 2024-06-26 20:21:52.638308 INFO::Creating boxplot for categorical data, diagnosis vs F379
## 2024-06-26 20:21:53.103067 INFO::Creating boxplot for categorical data, diagnosis vs F190
## 2024-06-26 20:21:53.542608 INFO::Creating boxplot for categorical data, diagnosis vs F4
## 2024-06-26 20:21:54.008833 INFO::Creating boxplot for categorical data, diagnosis vs F591
## 2024-06-26 20:21:54.455555 INFO::Creating boxplot for categorical data, diagnosis vs F773
## 2024-06-26 20:21:54.908428 INFO::Creating boxplot for categorical data, diagnosis vs F283
## 2024-06-26 20:21:55.380143 INFO::Creating boxplot for categorical data, diagnosis vs F233
## 2024-06-26 20:21:55.85757 INFO::Creating boxplot for categorical data, diagnosis vs F420
## 2024-06-26 20:21:56.344309 INFO::Creating boxplot for categorical data, diagnosis vs F5
## 2024-06-26 20:21:56.798137 INFO::Creating boxplot for categorical data, diagnosis vs F137
## 2024-06-26 20:21:57.271212 INFO::Creating boxplot for categorical data, diagnosis vs F215
## 2024-06-26 20:21:57.734319 INFO::Creating boxplot for categorical data, diagnosis vs F489
## 2024-06-26 20:21:58.223418 INFO::Creating boxplot for categorical data, diagnosis vs F220
## 2024-06-26 20:21:58.739552 INFO::Creating boxplot for categorical data, diagnosis vs F691
## 2024-06-26 20:21:59.214834 INFO::Creating boxplot for categorical data, diagnosis vs F381
## 2024-06-26 20:21:59.698206 INFO::Creating boxplot for categorical data, diagnosis vs F539
## 2024-06-26 20:22:00.162888 INFO::Creating boxplot for categorical data, diagnosis vs F490
## 2024-06-26 20:22:00.618959 INFO::Creating boxplot for categorical data, diagnosis vs F832
## 2024-06-26 20:22:01.102249 INFO::Creating boxplot for categorical data, diagnosis vs F396
## 2024-06-26 20:22:01.56627 INFO::Creating boxplot for categorical data, diagnosis vs F528
## 2024-06-26 20:22:02.031134 INFO::Creating boxplot for categorical data, diagnosis vs F234
## 2024-06-26 20:22:02.491247 INFO::Creating boxplot for categorical data, diagnosis vs F178
## 2024-06-26 20:22:02.955404 INFO::Creating boxplot for categorical data, diagnosis vs F761
## 2024-06-26 20:22:03.46282 INFO::Creating boxplot for categorical data, diagnosis vs F2
## 2024-06-26 20:22:03.944307 INFO::Creating boxplot for categorical data, diagnosis vs F260
## 2024-06-26 20:22:04.431756 INFO::Creating boxplot for categorical data, diagnosis vs F734
## 2024-06-26 20:22:04.91013 INFO::Creating boxplot for categorical data, diagnosis vs F429
## 2024-06-26 20:22:05.376309 INFO::Creating boxplot for categorical data, diagnosis vs F630
## 2024-06-26 20:22:05.847435 INFO::Creating boxplot for categorical data, diagnosis vs F817
## 2024-06-26 20:22:06.317386 INFO::Creating boxplot for categorical data, diagnosis vs F847
## 2024-06-26 20:22:06.803351 INFO::Creating boxplot for categorical data, diagnosis vs F896
## 2024-06-26 20:22:07.287594 INFO::Creating boxplot for categorical data, diagnosis vs F81
## 2024-06-26 20:22:07.7645 INFO::Creating boxplot for categorical data, diagnosis vs F110
## 2024-06-26 20:22:08.228966 INFO::Creating boxplot for categorical data, diagnosis vs F3
## 2024-06-26 20:22:08.725516 INFO::Creating boxplot for categorical data, diagnosis vs F33
## 2024-06-26 20:22:09.23001 INFO::Creating boxplot for categorical data, diagnosis vs F270
## 2024-06-26 20:22:09.732995 INFO::Creating boxplot for categorical data, diagnosis vs F278
## 2024-06-26 20:22:10.174526 INFO::Creating boxplot for categorical data, diagnosis vs F264
## 2024-06-26 20:22:10.666516 INFO::Creating boxplot for categorical data, diagnosis vs F90
## 2024-06-26 20:22:11.141326 INFO::Creating boxplot for categorical data, diagnosis vs F403
## 2024-06-26 20:22:11.610846 INFO::Creating boxplot for categorical data, diagnosis vs F727
## 2024-06-26 20:22:12.060988 INFO::Creating boxplot for categorical data, diagnosis vs F394
## 2024-06-26 20:22:12.51808 INFO::Creating boxplot for categorical data, diagnosis vs F800
## 2024-06-26 20:22:12.990557 INFO::Creating boxplot for categorical data, diagnosis vs F439
## 2024-06-26 20:22:13.463143 INFO::Creating boxplot for categorical data, diagnosis vs F554
## 2024-06-26 20:22:13.942967 INFO::Creating boxplot for categorical data, diagnosis vs F559
## 2024-06-26 20:22:14.372864 INFO::Creating boxplot for categorical data, diagnosis vs F548
## 2024-06-26 20:22:14.896938 INFO::Creating boxplot for categorical data, diagnosis vs F794
## 2024-06-26 20:22:15.372999 INFO::Creating boxplot for categorical data, diagnosis vs F45
## 2024-06-26 20:22:15.842384 INFO::Creating boxplot for categorical data, diagnosis vs F158
## 2024-06-26 20:22:16.339347 INFO::Creating boxplot for categorical data, diagnosis vs F477
## 2024-06-26 20:22:16.807448 INFO::Creating boxplot for categorical data, diagnosis vs F1
## 2024-06-26 20:22:17.252984 INFO::Creating boxplot for categorical data, diagnosis vs F862
## 2024-06-26 20:22:17.740157 INFO::Creating boxplot for categorical data, diagnosis vs F803
## 2024-06-26 20:22:18.3469 INFO::Creating boxplot for categorical data, diagnosis vs F751
## 2024-06-26 20:22:18.831982 INFO::Creating boxplot for categorical data, diagnosis vs F98
## 2024-06-26 20:22:19.283438 INFO::Creating boxplot for categorical data, diagnosis vs F22
## 2024-06-26 20:22:19.776418 INFO::Creating boxplot for categorical data, diagnosis vs F625
## 2024-06-26 20:22:20.247631 INFO::Creating boxplot for categorical data, diagnosis vs F206
## 2024-06-26 20:22:20.701289 INFO::Creating boxplot for categorical data, diagnosis vs F779
## 2024-06-26 20:22:21.17605 INFO::Creating boxplot for categorical data, diagnosis vs F532
## 2024-06-26 20:22:21.698367 INFO::Creating boxplot for categorical data, diagnosis vs F676
## 2024-06-26 20:22:22.160882 INFO::Creating boxplot for categorical data, diagnosis vs F644
## 2024-06-26 20:22:22.647019 INFO::Creating boxplot for categorical data, diagnosis vs F7
## 2024-06-26 20:22:23.120909 INFO::Creating boxplot for categorical data, diagnosis vs F596
## 2024-06-26 20:22:23.591968 INFO::Creating boxplot for categorical data, diagnosis vs F250
## 2024-06-26 20:22:24.06746 INFO::Creating boxplot for categorical data, diagnosis vs F462
## 2024-06-26 20:22:24.522641 INFO::Creating boxplot for categorical data, diagnosis vs F516
## 2024-06-26 20:22:25.014804 INFO::Creating boxplot for categorical data, diagnosis vs F659
## 2024-06-26 20:22:25.483083 INFO::Creating boxplot for categorical data, diagnosis vs F663
## 2024-06-26 20:22:25.962348 INFO::Creating boxplot for categorical data, diagnosis vs F837
## 2024-06-26 20:22:26.478126 INFO::Creating boxplot for categorical data, diagnosis vs F138
## 2024-06-26 20:22:26.960757 INFO::Creating boxplot for categorical data, diagnosis vs F445
## 2024-06-26 20:22:27.43258 INFO::Creating boxplot for categorical data, diagnosis vs F697
## 2024-06-26 20:22:27.914261 INFO::Creating boxplot for categorical data, diagnosis vs F225
## 2024-06-26 20:22:28.396235 INFO::Creating boxplot for categorical data, diagnosis vs F148
## 2024-06-26 20:22:28.88423 INFO::Creating boxplot for categorical data, diagnosis vs F448
## 2024-06-26 20:22:29.406847 INFO::Creating boxplot for categorical data, diagnosis vs F91
## 2024-06-26 20:22:29.913518 INFO::Creating boxplot for categorical data, diagnosis vs F123
## 2024-06-26 20:22:30.391303 INFO::Creating boxplot for categorical data, diagnosis vs F665
## 2024-06-26 20:22:30.87525 INFO::Creating boxplot for categorical data, diagnosis vs F845
## 2024-06-26 20:22:31.352841 INFO::Creating boxplot for categorical data, diagnosis vs F331
## 2024-06-26 20:22:31.829827 INFO::Creating boxplot for categorical data, diagnosis vs F361
## 2024-06-26 20:22:32.293924 INFO::Creating boxplot for categorical data, diagnosis vs F421
## 2024-06-26 20:22:32.772531 INFO::Creating boxplot for categorical data, diagnosis vs F277
## 2024-06-26 20:22:33.252954 INFO::Creating boxplot for categorical data, diagnosis vs F307
## 2024-06-26 20:22:33.730312 INFO::Creating boxplot for categorical data, diagnosis vs F503
## 2024-06-26 20:22:34.23819 INFO::Creating boxplot for categorical data, diagnosis vs F34
## 2024-06-26 20:22:34.709014 INFO::Creating boxplot for categorical data, diagnosis vs F649
## 2024-06-26 20:22:35.193745 INFO::Creating boxplot for categorical data, diagnosis vs F825
## 2024-06-26 20:22:35.661115 INFO::Creating boxplot for categorical data, diagnosis vs F298
## 2024-06-26 20:22:36.139618 INFO::Creating boxplot for categorical data, diagnosis vs F461
## 2024-06-26 20:22:36.601619 INFO::Creating boxplot for categorical data, diagnosis vs F242
## 2024-06-26 20:22:37.038343 INFO::Creating boxplot for categorical data, diagnosis vs F375
## 2024-06-26 20:22:37.48854 INFO::Creating boxplot for categorical data, diagnosis vs F648
## 2024-06-26 20:22:37.935048 INFO::Creating boxplot for categorical data, diagnosis vs F724
## 2024-06-26 20:22:38.387525 INFO::Creating boxplot for categorical data, diagnosis vs F678
## 2024-06-26 20:22:38.848806 INFO::Creating boxplot for categorical data, diagnosis vs F290
## 2024-06-26 20:22:39.34879 INFO::Creating boxplot for categorical data, diagnosis vs F743
## 2024-06-26 20:22:39.790225 INFO::Creating boxplot for categorical data, diagnosis vs F495
## 2024-06-26 20:22:40.240825 INFO::Creating boxplot for categorical data, diagnosis vs F261
## 2024-06-26 20:22:40.68906 INFO::Creating boxplot for categorical data, diagnosis vs F43
## 2024-06-26 20:22:41.173155 INFO::Creating boxplot for categorical data, diagnosis vs F714
## 2024-06-26 20:22:41.67457 INFO::Creating boxplot for categorical data, diagnosis vs F131
## 2024-06-26 20:22:42.11393 INFO::Creating boxplot for categorical data, diagnosis vs F150
## 2024-06-26 20:22:42.565437 INFO::Creating boxplot for categorical data, diagnosis vs F651
## 2024-06-26 20:22:43.032715 INFO::Creating boxplot for categorical data, diagnosis vs F798
## 2024-06-26 20:22:43.568038 INFO::Creating boxplot for categorical data, diagnosis vs F289
## 2024-06-26 20:22:44.035645 INFO::Creating boxplot for categorical data, diagnosis vs F661
## 2024-06-26 20:22:44.514692 INFO::Creating boxplot for categorical data, diagnosis vs F199
## 2024-06-26 20:22:44.953113 INFO::Creating boxplot for categorical data, diagnosis vs F406
## 2024-06-26 20:22:45.413192 INFO::Creating boxplot for categorical data, diagnosis vs F139
## 2024-06-26 20:22:45.866491 INFO::Creating boxplot for categorical data, diagnosis vs F506
## 2024-06-26 20:22:46.350214 INFO::Creating boxplot for categorical data, diagnosis vs F552
## 2024-06-26 20:22:46.824311 INFO::Creating boxplot for categorical data, diagnosis vs F94
## 2024-06-26 20:22:47.289881 INFO::Creating boxplot for categorical data, diagnosis vs F430
## 2024-06-26 20:22:47.75973 INFO::Creating boxplot for categorical data, diagnosis vs F639
## 2024-06-26 20:22:48.233946 INFO::Creating boxplot for categorical data, diagnosis vs F500
## 2024-06-26 20:22:48.68859 INFO::Creating boxplot for categorical data, diagnosis vs F609
## 2024-06-26 20:22:49.210265 INFO::Creating boxplot for categorical data, diagnosis vs F306
## 2024-06-26 20:22:49.683053 INFO::Creating boxplot for categorical data, diagnosis vs F507
## 2024-06-26 20:22:50.142281 INFO::Creating boxplot for categorical data, diagnosis vs F671
## 2024-06-26 20:22:50.621465 INFO::Creating boxplot for categorical data, diagnosis vs F894
## 2024-06-26 20:22:51.087108 INFO::Creating boxplot for categorical data, diagnosis vs F345
## 2024-06-26 20:22:51.57223 INFO::Creating boxplot for categorical data, diagnosis vs F801
## 2024-06-26 20:22:52.074398 INFO::Creating boxplot for categorical data, diagnosis vs F194
## 2024-06-26 20:22:52.550615 INFO::Creating boxplot for categorical data, diagnosis vs F195
## 2024-06-26 20:22:52.999416 INFO::Creating boxplot for categorical data, diagnosis vs F119
## 2024-06-26 20:22:53.461455 INFO::Creating boxplot for categorical data, diagnosis vs F120
## 2024-06-26 20:22:53.933721 INFO::Creating boxplot for categorical data, diagnosis vs F231
## 2024-06-26 20:22:54.441751 INFO::Creating boxplot for categorical data, diagnosis vs F311
## 2024-06-26 20:22:54.904703 INFO::Creating boxplot for categorical data, diagnosis vs F646
## 2024-06-26 20:22:55.373185 INFO::Creating boxplot for categorical data, diagnosis vs F814
## 2024-06-26 20:22:55.856586 INFO::Creating boxplot for categorical data, diagnosis vs F510
## 2024-06-26 20:22:56.345333 INFO::Creating boxplot for categorical data, diagnosis vs F398
## 2024-06-26 20:22:56.805819 INFO::Creating boxplot for categorical data, diagnosis vs F60
## 2024-06-26 20:22:57.334855 INFO::Creating boxplot for categorical data, diagnosis vs F153
## 2024-06-26 20:22:57.880136 INFO::Creating boxplot for categorical data, diagnosis vs F858
## 2024-06-26 20:22:58.343524 INFO::Creating boxplot for categorical data, diagnosis vs F775
## 2024-06-26 20:22:58.8166 INFO::Creating boxplot for categorical data, diagnosis vs F684
## 2024-06-26 20:22:59.301528 INFO::Creating boxplot for categorical data, diagnosis vs F384
## 2024-06-26 20:22:59.813208 INFO::Creating boxplot for categorical data, diagnosis vs F134
## 2024-06-26 20:23:00.275587 INFO::Creating boxplot for categorical data, diagnosis vs F670
## 2024-06-26 20:23:00.737286 INFO::Creating boxplot for categorical data, diagnosis vs F632
## 2024-06-26 20:23:01.254567 INFO::Creating boxplot for categorical data, diagnosis vs F721
## 2024-06-26 20:23:01.734747 INFO::Creating boxplot for categorical data, diagnosis vs F700
## 2024-06-26 20:23:02.25476 INFO::Creating boxplot for categorical data, diagnosis vs F376
## 2024-06-26 20:23:02.756611 INFO::Creating boxplot for categorical data, diagnosis vs F301
## 2024-06-26 20:23:03.249067 INFO::Creating boxplot for categorical data, diagnosis vs F27
## 2024-06-26 20:23:03.736821 INFO::Creating boxplot for categorical data, diagnosis vs F280
## 2024-06-26 20:23:04.230855 INFO::Creating boxplot for categorical data, diagnosis vs F391
## 2024-06-26 20:23:04.727609 INFO::Creating boxplot for categorical data, diagnosis vs F725
## 2024-06-26 20:23:05.239496 INFO::Creating boxplot for categorical data, diagnosis vs F186
## 2024-06-26 20:23:05.749562 INFO::Creating boxplot for categorical data, diagnosis vs F481
## 2024-06-26 20:23:06.245916 INFO::Creating boxplot for categorical data, diagnosis vs F333
## 2024-06-26 20:23:06.734983 INFO::Creating boxplot for categorical data, diagnosis vs F720
## 2024-06-26 20:23:07.233019 INFO::Creating boxplot for categorical data, diagnosis vs F520
## 2024-06-26 20:23:07.786862 INFO::Creating boxplot for categorical data, diagnosis vs F129
## 2024-06-26 20:23:08.275741 INFO::Creating boxplot for categorical data, diagnosis vs F204
## 2024-06-26 20:23:08.769619 INFO::Creating boxplot for categorical data, diagnosis vs F259
## 2024-06-26 20:23:09.232162 INFO::Creating boxplot for categorical data, diagnosis vs F831
## 2024-06-26 20:23:10.478289 INFO::Creating boxplot for categorical data, diagnosis vs F891
## 2024-06-26 20:23:11.723036 INFO::Creating boxplot for categorical data, diagnosis vs F262
## 2024-06-26 20:23:12.633855 INFO::Creating boxplot for categorical data, diagnosis vs F592
## 2024-06-26 20:23:13.356148 INFO::Creating boxplot for categorical data, diagnosis vs F343
## 2024-06-26 20:23:14.004106 INFO::Creating boxplot for categorical data, diagnosis vs F505
## 2024-06-26 20:23:15.51691 INFO::Creating boxplot for categorical data, diagnosis vs F622
## 2024-06-26 20:23:16.854333 INFO::Creating boxplot for categorical data, diagnosis vs F348
## 2024-06-26 20:23:18.46098 INFO::Creating boxplot for categorical data, diagnosis vs F133
## 2024-06-26 20:23:19.321788 INFO::Creating boxplot for categorical data, diagnosis vs F371
## 2024-06-26 20:23:20.807356 INFO::Creating boxplot for categorical data, diagnosis vs F113
## 2024-06-26 20:23:22.056698 INFO::Creating boxplot for categorical data, diagnosis vs F336
## 2024-06-26 20:23:22.781995 INFO::Creating boxplot for categorical data, diagnosis vs F399
## 2024-06-26 20:23:23.912059 INFO::Creating boxplot for categorical data, diagnosis vs F416
## 2024-06-26 20:23:25.494737 INFO::Creating boxplot for categorical data, diagnosis vs F657
## 2024-06-26 20:23:26.995011 INFO::Creating boxplot for categorical data, diagnosis vs F241
## 2024-06-26 20:23:28.304505 INFO::Creating boxplot for categorical data, diagnosis vs F95
## 2024-06-26 20:23:29.16574 INFO::Creating boxplot for categorical data, diagnosis vs F128
## 2024-06-26 20:23:29.68156 INFO::Creating boxplot for categorical data, diagnosis vs F595
## 2024-06-26 20:23:30.179885 INFO::Creating boxplot for categorical data, diagnosis vs F428
## 2024-06-26 20:23:30.638952 INFO::Creating boxplot for categorical data, diagnosis vs F796
## 2024-06-26 20:23:31.14999 INFO::Creating boxplot for categorical data, diagnosis vs F709
## 2024-06-26 20:23:31.610949 INFO::Creating boxplot for categorical data, diagnosis vs F602
## 2024-06-26 20:23:32.099443 INFO::Creating boxplot for categorical data, diagnosis vs F293
## 2024-06-26 20:23:32.666152 INFO::Creating boxplot for categorical data, diagnosis vs F867
## 2024-06-26 20:23:33.168361 INFO::Creating boxplot for categorical data, diagnosis vs F108
## 2024-06-26 20:23:33.633334 INFO::Creating boxplot for categorical data, diagnosis vs F846
## 2024-06-26 20:23:34.107058 INFO::Creating boxplot for categorical data, diagnosis vs F633
## 2024-06-26 20:23:34.562563 INFO::Creating boxplot for categorical data, diagnosis vs F564
## 2024-06-26 20:23:35.044915 INFO::Creating boxplot for categorical data, diagnosis vs F183
## 2024-06-26 20:23:35.497863 INFO::Creating boxplot for categorical data, diagnosis vs F647
## 2024-06-26 20:23:35.963378 INFO::Creating boxplot for categorical data, diagnosis vs F288
## 2024-06-26 20:23:36.421786 INFO::Creating boxplot for categorical data, diagnosis vs F159
## 2024-06-26 20:23:36.904966 INFO::Creating boxplot for categorical data, diagnosis vs F638
## 2024-06-26 20:23:37.401747 INFO::Creating boxplot for categorical data, diagnosis vs F484
## 2024-06-26 20:23:37.870537 INFO::Creating boxplot for categorical data, diagnosis vs F20
## 2024-06-26 20:23:38.359928 INFO::Creating boxplot for categorical data, diagnosis vs F19
## 2024-06-26 20:23:38.836199 INFO::Creating boxplot for categorical data, diagnosis vs F897
## 2024-06-26 20:23:39.320862 INFO::Creating boxplot for categorical data, diagnosis vs F442
## 2024-06-26 20:23:39.848503 INFO::Creating boxplot for categorical data, diagnosis vs F372
## 2024-06-26 20:23:40.318197 INFO::Creating boxplot for categorical data, diagnosis vs F771
## 2024-06-26 20:23:40.786704 INFO::Creating boxplot for categorical data, diagnosis vs F370
## 2024-06-26 20:23:41.29274 INFO::Creating boxplot for categorical data, diagnosis vs F620
## 2024-06-26 20:23:41.779632 INFO::Creating boxplot for categorical data, diagnosis vs F753
## 2024-06-26 20:23:42.253443 INFO::Creating boxplot for categorical data, diagnosis vs F568
## 2024-06-26 20:23:42.754399 INFO::Creating boxplot for categorical data, diagnosis vs F312
## 2024-06-26 20:23:43.256399 INFO::Creating boxplot for categorical data, diagnosis vs F485
## 2024-06-26 20:23:43.793983 INFO::Creating boxplot for categorical data, diagnosis vs F627
## 2024-06-26 20:23:44.344083 INFO::Creating boxplot for categorical data, diagnosis vs F72
## 2024-06-26 20:23:44.867156 INFO::Creating boxplot for categorical data, diagnosis vs F575
## 2024-06-26 20:23:45.47411 INFO::Creating boxplot for categorical data, diagnosis vs F332
## 2024-06-26 20:23:45.969682 INFO::Creating boxplot for categorical data, diagnosis vs F674
## 2024-06-26 20:23:46.474262 INFO::Creating boxplot for categorical data, diagnosis vs F537
## 2024-06-26 20:23:46.959981 INFO::Creating boxplot for categorical data, diagnosis vs F839
## 2024-06-26 20:23:47.445936 INFO::Creating boxplot for categorical data, diagnosis vs F715
## 2024-06-26 20:23:47.970002 INFO::Creating boxplot for categorical data, diagnosis vs F768
## 2024-06-26 20:23:48.457933 INFO::Creating boxplot for categorical data, diagnosis vs F202
## 2024-06-26 20:23:48.925835 INFO::Creating boxplot for categorical data, diagnosis vs F756
## 2024-06-26 20:23:49.409127 INFO::Creating boxplot for categorical data, diagnosis vs F536
## 2024-06-26 20:23:49.902182 INFO::Creating boxplot for categorical data, diagnosis vs F677
## 2024-06-26 20:23:50.473088 INFO::Creating boxplot for categorical data, diagnosis vs F435
## 2024-06-26 20:23:50.977601 INFO::Creating boxplot for categorical data, diagnosis vs F574
## 2024-06-26 20:23:51.448514 INFO::Creating boxplot for categorical data, diagnosis vs F70
## 2024-06-26 20:23:51.926956 INFO::Creating boxplot for categorical data, diagnosis vs F146
## 2024-06-26 20:23:52.414861 INFO::Creating boxplot for categorical data, diagnosis vs F236
## 2024-06-26 20:23:52.911408 INFO::Creating boxplot for categorical data, diagnosis vs F527
## 2024-06-26 20:23:53.429181 INFO::Creating boxplot for categorical data, diagnosis vs F624
## 2024-06-26 20:23:53.892446 INFO::Creating boxplot for categorical data, diagnosis vs F426
## 2024-06-26 20:23:54.382343 INFO::Creating boxplot for categorical data, diagnosis vs F880
## 2024-06-26 20:23:54.872803 INFO::Creating boxplot for categorical data, diagnosis vs F549
## 2024-06-26 20:23:55.34637 INFO::Creating boxplot for categorical data, diagnosis vs F49
## 2024-06-26 20:23:55.842547 INFO::Creating boxplot for categorical data, diagnosis vs F67
## 2024-06-26 20:23:56.382356 INFO::Creating boxplot for categorical data, diagnosis vs F491
## 2024-06-26 20:23:56.910238 INFO::Creating boxplot for categorical data, diagnosis vs F174
## 2024-06-26 20:23:57.387469 INFO::Creating boxplot for categorical data, diagnosis vs F254
## 2024-06-26 20:23:57.880007 INFO::Creating boxplot for categorical data, diagnosis vs F112
## 2024-06-26 20:23:58.366338 INFO::Creating boxplot for categorical data, diagnosis vs F235
## 2024-06-26 20:23:58.857016 INFO::Creating boxplot for categorical data, diagnosis vs F833
## 2024-06-26 20:23:59.334921 INFO::Creating boxplot for categorical data, diagnosis vs F752
## 2024-06-26 20:23:59.812953 INFO::Creating boxplot for categorical data, diagnosis vs F792
## 2024-06-26 20:24:00.297456 INFO::Creating boxplot for categorical data, diagnosis vs F422
## 2024-06-26 20:24:00.805525 INFO::Creating boxplot for categorical data, diagnosis vs F6
## 2024-06-26 20:24:01.420804 INFO::Creating boxplot for categorical data, diagnosis vs F463
## 2024-06-26 20:24:01.900452 INFO::Creating boxplot for categorical data, diagnosis vs F706
## 2024-06-26 20:24:02.350716 INFO::Creating boxplot for categorical data, diagnosis vs F642
## 2024-06-26 20:24:02.821937 INFO::Creating boxplot for categorical data, diagnosis vs F65
## 2024-06-26 20:24:03.295773 INFO::Creating boxplot for categorical data, diagnosis vs F102
## 2024-06-26 20:24:03.761917 INFO::Creating boxplot for categorical data, diagnosis vs F783
## 2024-06-26 20:24:04.266411 INFO::Creating boxplot for categorical data, diagnosis vs F478
## 2024-06-26 20:24:04.704079 INFO::Creating boxplot for categorical data, diagnosis vs F889
## 2024-06-26 20:24:05.184574 INFO::Creating boxplot for categorical data, diagnosis vs F350
## 2024-06-26 20:24:05.632291 INFO::Creating boxplot for categorical data, diagnosis vs F681
## 2024-06-26 20:24:06.095391 INFO::Creating boxplot for categorical data, diagnosis vs F748
## 2024-06-26 20:24:06.565511 INFO::Creating boxplot for categorical data, diagnosis vs F762
## 2024-06-26 20:24:07.001683 INFO::Creating boxplot for categorical data, diagnosis vs F852
## 2024-06-26 20:24:07.47191 INFO::Creating boxplot for categorical data, diagnosis vs F180
## 2024-06-26 20:24:07.97035 INFO::Creating boxplot for categorical data, diagnosis vs F248
## 2024-06-26 20:24:08.425463 INFO::Creating boxplot for categorical data, diagnosis vs F759
## 2024-06-26 20:24:08.89017 INFO::Creating boxplot for categorical data, diagnosis vs F824
## 2024-06-26 20:24:09.345931 INFO::Creating boxplot for categorical data, diagnosis vs F145
## 2024-06-26 20:24:09.832831 INFO::Creating boxplot for categorical data, diagnosis vs F16
## 2024-06-26 20:24:10.329566 INFO::Creating boxplot for categorical data, diagnosis vs F169
## 2024-06-26 20:24:10.801367 INFO::Creating boxplot for categorical data, diagnosis vs F392
## 2024-06-26 20:24:11.263762 INFO::Creating boxplot for categorical data, diagnosis vs F468
## 2024-06-26 20:24:11.742907 INFO::Creating boxplot for categorical data, diagnosis vs F476
## 2024-06-26 20:24:12.213068 INFO::Creating boxplot for categorical data, diagnosis vs F699
## 2024-06-26 20:24:12.694822 INFO::Creating boxplot for categorical data, diagnosis vs F735
## 2024-06-26 20:24:13.171308 INFO::Creating boxplot for categorical data, diagnosis vs F182
## 2024-06-26 20:24:13.64036 INFO::Creating boxplot for categorical data, diagnosis vs F64
## 2024-06-26 20:24:14.164896 INFO::Creating boxplot for categorical data, diagnosis vs F203
## 2024-06-26 20:24:14.630782 INFO::Creating boxplot for categorical data, diagnosis vs F877
## 2024-06-26 20:24:15.093329 INFO::Creating boxplot for categorical data, diagnosis vs F433
## 2024-06-26 20:24:15.561441 INFO::Creating boxplot for categorical data, diagnosis vs F739
## 2024-06-26 20:24:16.006063 INFO::Creating boxplot for categorical data, diagnosis vs F749
## 2024-06-26 20:24:16.4833 INFO::Creating boxplot for categorical data, diagnosis vs F382
## 2024-06-26 20:24:16.938648 INFO::Creating boxplot for categorical data, diagnosis vs F162
## 2024-06-26 20:24:17.399761 INFO::Creating boxplot for categorical data, diagnosis vs F438
## 2024-06-26 20:24:17.876825 INFO::Creating boxplot for categorical data, diagnosis vs F360
## 2024-06-26 20:24:18.362437 INFO::Creating boxplot for categorical data, diagnosis vs F56
## 2024-06-26 20:24:18.877654 INFO::Creating boxplot for categorical data, diagnosis vs F529
## 2024-06-26 20:24:19.389809 INFO::Creating boxplot for categorical data, diagnosis vs F48
## 2024-06-26 20:24:19.871207 INFO::Creating boxplot for categorical data, diagnosis vs F826
## 2024-06-26 20:24:20.338597 INFO::Creating boxplot for categorical data, diagnosis vs F488
## 2024-06-26 20:24:20.893385 INFO::Creating boxplot for categorical data, diagnosis vs F309
## 2024-06-26 20:24:21.36475 INFO::Creating boxplot for categorical data, diagnosis vs F834
## 2024-06-26 20:24:21.894561 INFO::Creating boxplot for categorical data, diagnosis vs F449
## 2024-06-26 20:24:22.370746 INFO::Creating boxplot for categorical data, diagnosis vs F77
## 2024-06-26 20:24:22.869189 INFO::Creating boxplot for categorical data, diagnosis vs F365
## 2024-06-26 20:24:23.344356 INFO::Creating boxplot for categorical data, diagnosis vs F346
## 2024-06-26 20:24:23.824514 INFO::Creating boxplot for categorical data, diagnosis vs F654
## 2024-06-26 20:24:24.329222 INFO::Creating boxplot for categorical data, diagnosis vs F79
## 2024-06-26 20:24:24.794825 INFO::Creating boxplot for categorical data, diagnosis vs F785
## 2024-06-26 20:24:25.278379 INFO::Creating boxplot for categorical data, diagnosis vs F415
## 2024-06-26 20:24:25.76869 INFO::Creating boxplot for categorical data, diagnosis vs F466
## 2024-06-26 20:24:26.258042 INFO::Creating boxplot for categorical data, diagnosis vs F643
## 2024-06-26 20:24:26.780398 INFO::Creating boxplot for categorical data, diagnosis vs F160
## 2024-06-26 20:24:27.28291 INFO::Creating boxplot for categorical data, diagnosis vs F69
## 2024-06-26 20:24:27.771164 INFO::Creating boxplot for categorical data, diagnosis vs F498
## 2024-06-26 20:24:28.257665 INFO::Creating boxplot for categorical data, diagnosis vs F207
## 2024-06-26 20:24:28.729468 INFO::Creating boxplot for categorical data, diagnosis vs F679
## 2024-06-26 20:24:29.200811 INFO::Creating boxplot for categorical data, diagnosis vs F618
## 2024-06-26 20:24:29.697562 INFO::Creating boxplot for categorical data, diagnosis vs F255
## 2024-06-26 20:24:30.169877 INFO::Creating boxplot for categorical data, diagnosis vs F267
## 2024-06-26 20:24:30.633341 INFO::Creating boxplot for categorical data, diagnosis vs F143
## 2024-06-26 20:24:31.108464 INFO::Creating boxplot for categorical data, diagnosis vs F286
## 2024-06-26 20:24:31.596665 INFO::Creating boxplot for categorical data, diagnosis vs F562
## 2024-06-26 20:24:32.114309 INFO::Creating boxplot for categorical data, diagnosis vs F100
## 2024-06-26 20:24:32.599479 INFO::Creating boxplot for categorical data, diagnosis vs F374
## 2024-06-26 20:24:33.083348 INFO::Creating boxplot for categorical data, diagnosis vs F535
## 2024-06-26 20:24:33.561426 INFO::Creating boxplot for categorical data, diagnosis vs F658
## 2024-06-26 20:24:34.060151 INFO::Creating boxplot for categorical data, diagnosis vs F707
## 2024-06-26 20:24:34.698161 INFO::Creating boxplot for categorical data, diagnosis vs F325
## 2024-06-26 20:24:35.201802 INFO::Creating boxplot for categorical data, diagnosis vs F89
## 2024-06-26 20:24:35.707349 INFO::Creating boxplot for categorical data, diagnosis vs F214
## 2024-06-26 20:24:36.215664 INFO::Creating boxplot for categorical data, diagnosis vs F578
## 2024-06-26 20:24:36.72953 INFO::Creating boxplot for categorical data, diagnosis vs F790
## 2024-06-26 20:24:37.254358 INFO::Creating boxplot for categorical data, diagnosis vs F265
## 2024-06-26 20:24:37.753847 INFO::Creating boxplot for categorical data, diagnosis vs F253
## 2024-06-26 20:24:38.263329 INFO::Creating boxplot for categorical data, diagnosis vs F294
## 2024-06-26 20:24:38.768049 INFO::Creating boxplot for categorical data, diagnosis vs F410
## 2024-06-26 20:24:39.281923 INFO::Creating boxplot for categorical data, diagnosis vs F614
## 2024-06-26 20:24:40.684316 INFO::Creating boxplot for categorical data, diagnosis vs F764
## 2024-06-26 20:24:41.197172 INFO::Creating boxplot for categorical data, diagnosis vs F59
## 2024-06-26 20:24:41.710424 INFO::Creating boxplot for categorical data, diagnosis vs F675
## 2024-06-26 20:24:42.21407 INFO::Creating boxplot for categorical data, diagnosis vs F441
## 2024-06-26 20:24:42.727424 INFO::Creating boxplot for categorical data, diagnosis vs F193
## 2024-06-26 20:24:43.27154 INFO::Creating boxplot for categorical data, diagnosis vs F689
## 2024-06-26 20:24:43.825691 INFO::Creating boxplot for categorical data, diagnosis vs F249
## 2024-06-26 20:24:44.388465 INFO::Creating boxplot for categorical data, diagnosis vs F821
## 2024-06-26 20:24:44.945435 INFO::Creating boxplot for categorical data, diagnosis vs F351
## 2024-06-26 20:24:45.43369 INFO::Creating boxplot for categorical data, diagnosis vs F66
## 2024-06-26 20:24:45.944109 INFO::Creating boxplot for categorical data, diagnosis vs F413
## 2024-06-26 20:24:46.45377 INFO::Creating boxplot for categorical data, diagnosis vs F172
## 2024-06-26 20:24:46.949053 INFO::Creating boxplot for categorical data, diagnosis vs F317
## 2024-06-26 20:24:47.508403 INFO::Creating boxplot for categorical data, diagnosis vs F167
## 2024-06-26 20:24:48.021696 INFO::Creating boxplot for categorical data, diagnosis vs F229
## 2024-06-26 20:24:48.563954 INFO::Creating boxplot for categorical data, diagnosis vs F243
## 2024-06-26 20:24:49.046944 INFO::Creating boxplot for categorical data, diagnosis vs F732
## 2024-06-26 20:24:49.547965 INFO::Creating boxplot for categorical data, diagnosis vs F467
## 2024-06-26 20:24:50.019527 INFO::Creating boxplot for categorical data, diagnosis vs F474
## 2024-06-26 20:24:50.501678 INFO::Creating boxplot for categorical data, diagnosis vs F156
## 2024-06-26 20:24:50.967762 INFO::Creating boxplot for categorical data, diagnosis vs F786
## 2024-06-26 20:24:51.425793 INFO::Creating boxplot for categorical data, diagnosis vs F216
## 2024-06-26 20:24:51.928781 INFO::Creating boxplot for categorical data, diagnosis vs F85
## 2024-06-26 20:24:52.476332 INFO::Creating boxplot for categorical data, diagnosis vs F621
## 2024-06-26 20:24:52.985925 INFO::Creating boxplot for categorical data, diagnosis vs F558
## 2024-06-26 20:24:53.498128 INFO::Creating boxplot for categorical data, diagnosis vs F582
## 2024-06-26 20:24:54.025417 INFO::Creating boxplot for categorical data, diagnosis vs F898
## 2024-06-26 20:24:54.527564 INFO::Creating boxplot for categorical data, diagnosis vs F402
## 2024-06-26 20:24:55.108212 INFO::Creating boxplot for categorical data, diagnosis vs F71
## 2024-06-26 20:24:55.646018 INFO::Creating boxplot for categorical data, diagnosis vs F99
## 2024-06-26 20:24:56.162767 INFO::Creating boxplot for categorical data, diagnosis vs F366
## 2024-06-26 20:24:56.670435 INFO::Creating boxplot for categorical data, diagnosis vs F778
## 2024-06-26 20:24:57.214166 INFO::Creating boxplot for categorical data, diagnosis vs F188
## 2024-06-26 20:24:57.800277 INFO::Creating boxplot for categorical data, diagnosis vs F857
## 2024-06-26 20:24:58.305355 INFO::Creating boxplot for categorical data, diagnosis vs F440
## 2024-06-26 20:24:58.806445 INFO::Creating boxplot for categorical data, diagnosis vs F799
## 2024-06-26 20:24:59.357304 INFO::Creating boxplot for categorical data, diagnosis vs F482
## 2024-06-26 20:24:59.845507 INFO::Creating boxplot for categorical data, diagnosis vs F212
## 2024-06-26 20:25:00.359599 INFO::Creating boxplot for categorical data, diagnosis vs F882
## 2024-06-26 20:25:00.986471 INFO::Creating boxplot for categorical data, diagnosis vs F599
## 2024-06-26 20:25:01.617087 INFO::Creating boxplot for categorical data, diagnosis vs F302
## 2024-06-26 20:25:02.128993 INFO::Creating boxplot for categorical data, diagnosis vs F543
## 2024-06-26 20:25:02.80991 INFO::Creating boxplot for categorical data, diagnosis vs F269
## 2024-06-26 20:25:04.592631 INFO::Creating boxplot for categorical data, diagnosis vs F650
## 2024-06-26 20:25:05.130096 INFO::Creating boxplot for categorical data, diagnosis vs F456
## 2024-06-26 20:25:05.72993 INFO::Creating boxplot for categorical data, diagnosis vs F573
## 2024-06-26 20:25:06.255237 INFO::Creating boxplot for categorical data, diagnosis vs F8
## 2024-06-26 20:25:06.843629 INFO::Creating boxplot for categorical data, diagnosis vs F810
## 2024-06-26 20:25:07.397149 INFO::Creating boxplot for categorical data, diagnosis vs F401
## 2024-06-26 20:25:07.971113 INFO::Creating boxplot for categorical data, diagnosis vs F606
## 2024-06-26 20:25:08.482257 INFO::Creating boxplot for categorical data, diagnosis vs F662
## 2024-06-26 20:25:08.970739 INFO::Creating boxplot for categorical data, diagnosis vs F765
## 2024-06-26 20:25:09.539159 INFO::Creating boxplot for categorical data, diagnosis vs F887
## 2024-06-26 20:25:10.055915 INFO::Creating boxplot for categorical data, diagnosis vs F770
## 2024-06-26 20:25:10.59541 INFO::Creating boxplot for categorical data, diagnosis vs F469
## 2024-06-26 20:25:11.113554 INFO::Creating boxplot for categorical data, diagnosis vs F86
## 2024-06-26 20:25:11.647196 INFO::Creating boxplot for categorical data, diagnosis vs F400
## 2024-06-26 20:25:12.167312 INFO::Creating boxplot for categorical data, diagnosis vs F579
## 2024-06-26 20:25:12.708437 INFO::Creating boxplot for categorical data, diagnosis vs F871
## 2024-06-26 20:25:13.229849 INFO::Creating boxplot for categorical data, diagnosis vs F37
## 2024-06-26 20:25:13.764286 INFO::Creating boxplot for categorical data, diagnosis vs F446
## 2024-06-26 20:25:14.222367 INFO::Creating boxplot for categorical data, diagnosis vs F218
## 2024-06-26 20:25:14.687156 INFO::Creating boxplot for categorical data, diagnosis vs F321
## 2024-06-26 20:25:15.154481 INFO::Creating boxplot for categorical data, diagnosis vs F487
## 2024-06-26 20:25:15.652549 INFO::Creating boxplot for categorical data, diagnosis vs F740
## 2024-06-26 20:25:16.143097 INFO::Creating boxplot for categorical data, diagnosis vs F141
## 2024-06-26 20:25:16.629954 INFO::Creating boxplot for categorical data, diagnosis vs F327
## 2024-06-26 20:25:17.104328 INFO::Creating boxplot for categorical data, diagnosis vs F196
## 2024-06-26 20:25:17.579297 INFO::Creating boxplot for categorical data, diagnosis vs F883
## 2024-06-26 20:25:18.051741 INFO::Creating boxplot for categorical data, diagnosis vs F279
## 2024-06-26 20:25:18.504176 INFO::Creating boxplot for categorical data, diagnosis vs F838
## 2024-06-26 20:25:18.979117 INFO::Creating boxplot for categorical data, diagnosis vs F451
## 2024-06-26 20:25:19.422181 INFO::Creating boxplot for categorical data, diagnosis vs F854
## 2024-06-26 20:25:19.885664 INFO::Creating boxplot for categorical data, diagnosis vs F434
## 2024-06-26 20:25:20.352876 INFO::Creating boxplot for categorical data, diagnosis vs F519
## 2024-06-26 20:25:20.827238 INFO::Creating boxplot for categorical data, diagnosis vs F694
## 2024-06-26 20:25:21.308966 INFO::Creating boxplot for categorical data, diagnosis vs F561
## 2024-06-26 20:25:21.782752 INFO::Creating boxplot for categorical data, diagnosis vs F10
## 2024-06-26 20:25:22.256004 INFO::Creating boxplot for categorical data, diagnosis vs F303
## 2024-06-26 20:25:22.712788 INFO::Creating boxplot for categorical data, diagnosis vs F512
## 2024-06-26 20:25:23.217819 INFO::Creating boxplot for categorical data, diagnosis vs F645
## 2024-06-26 20:25:23.713486 INFO::Creating boxplot for categorical data, diagnosis vs F793
## 2024-06-26 20:25:24.210031 INFO::Creating boxplot for categorical data, diagnosis vs F404
## 2024-06-26 20:25:24.704912 INFO::Creating boxplot for categorical data, diagnosis vs F362
## 2024-06-26 20:25:25.15839 INFO::Creating boxplot for categorical data, diagnosis vs F525
## 2024-06-26 20:25:25.643743 INFO::Creating boxplot for categorical data, diagnosis vs F742
## 2024-06-26 20:25:26.129873 INFO::Creating boxplot for categorical data, diagnosis vs F276
## 2024-06-26 20:25:26.612672 INFO::Creating boxplot for categorical data, diagnosis vs F499
## 2024-06-26 20:25:27.063081 INFO::Creating boxplot for categorical data, diagnosis vs F328
## 2024-06-26 20:25:27.511891 INFO::Creating boxplot for categorical data, diagnosis vs F787
## 2024-06-26 20:25:27.987284 INFO::Creating boxplot for categorical data, diagnosis vs F30
## 2024-06-26 20:25:28.443051 INFO::Creating boxplot for categorical data, diagnosis vs F122
## 2024-06-26 20:25:28.942018 INFO::Creating boxplot for categorical data, diagnosis vs F619
## 2024-06-26 20:25:29.379935 INFO::Creating boxplot for categorical data, diagnosis vs F572
## 2024-06-26 20:25:29.829224 INFO::Creating boxplot for categorical data, diagnosis vs F47
## 2024-06-26 20:25:30.315898 INFO::Creating boxplot for categorical data, diagnosis vs F570
## 2024-06-26 20:25:30.760808 INFO::Creating boxplot for categorical data, diagnosis vs F26
## 2024-06-26 20:25:31.234076 INFO::Creating boxplot for categorical data, diagnosis vs F252
## 2024-06-26 20:25:31.701778 INFO::Creating boxplot for categorical data, diagnosis vs F117
## 2024-06-26 20:25:32.145194 INFO::Creating boxplot for categorical data, diagnosis vs F683
## 2024-06-26 20:25:32.612997 INFO::Creating boxplot for categorical data, diagnosis vs F395
## 2024-06-26 20:25:33.050056 INFO::Creating boxplot for categorical data, diagnosis vs F822
## 2024-06-26 20:25:33.482607 INFO::Creating boxplot for categorical data, diagnosis vs F46
## 2024-06-26 20:25:33.957909 INFO::Creating boxplot for categorical data, diagnosis vs F154
## 2024-06-26 20:25:34.42072 INFO::Creating boxplot for categorical data, diagnosis vs F540
## 2024-06-26 20:25:34.864779 INFO::Creating boxplot for categorical data, diagnosis vs F884
## 2024-06-26 20:25:35.305027 INFO::Creating boxplot for categorical data, diagnosis vs F368
## 2024-06-26 20:25:35.764307 INFO::Creating boxplot for categorical data, diagnosis vs F607
## 2024-06-26 20:25:36.237333 INFO::Creating boxplot for categorical data, diagnosis vs F111
## 2024-06-26 20:25:36.714549 INFO::Creating boxplot for categorical data, diagnosis vs F745
## 2024-06-26 20:25:37.166437 INFO::Creating boxplot for categorical data, diagnosis vs F673
## 2024-06-26 20:25:37.615649 INFO::Creating boxplot for categorical data, diagnosis vs F92
## 2024-06-26 20:25:38.139866 INFO::Creating boxplot for categorical data, diagnosis vs F493
## 2024-06-26 20:25:38.690467 INFO::Creating boxplot for categorical data, diagnosis vs F835
## 2024-06-26 20:25:39.145097 INFO::Creating boxplot for categorical data, diagnosis vs F872
## 2024-06-26 20:25:39.598442 INFO::Creating boxplot for categorical data, diagnosis vs F879
## 2024-06-26 20:25:40.042628 INFO::Creating boxplot for categorical data, diagnosis vs F432
## 2024-06-26 20:25:40.499387 INFO::Creating boxplot for categorical data, diagnosis vs F518
## 2024-06-26 20:25:40.965241 INFO::Creating boxplot for categorical data, diagnosis vs F44
## 2024-06-26 20:25:41.448994 INFO::Creating boxplot for categorical data, diagnosis vs F240
## 2024-06-26 20:25:41.899927 INFO::Creating boxplot for categorical data, diagnosis vs F819
## 2024-06-26 20:25:42.344134 INFO::Creating boxplot for categorical data, diagnosis vs F411
## 2024-06-26 20:25:42.822978 INFO::Creating boxplot for categorical data, diagnosis vs F353
## 2024-06-26 20:25:43.339778 INFO::Creating boxplot for categorical data, diagnosis vs F763
## 2024-06-26 20:25:43.833242 INFO::Creating boxplot for categorical data, diagnosis vs F97
## 2024-06-26 20:25:44.273104 INFO::Creating boxplot for categorical data, diagnosis vs F40
## 2024-06-26 20:25:44.752733 INFO::Creating boxplot for categorical data, diagnosis vs F652
## 2024-06-26 20:25:45.205425 INFO::Creating boxplot for categorical data, diagnosis vs F789
## 2024-06-26 20:25:45.660868 INFO::Creating boxplot for categorical data, diagnosis vs F25
## 2024-06-26 20:25:46.122685 INFO::Creating boxplot for categorical data, diagnosis vs F256
## 2024-06-26 20:25:46.581946 INFO::Creating boxplot for categorical data, diagnosis vs F423
## 2024-06-26 20:25:47.034574 INFO::Creating boxplot for categorical data, diagnosis vs F594
## 2024-06-26 20:25:47.490933 INFO::Creating boxplot for categorical data, diagnosis vs F201
## 2024-06-26 20:25:47.974183 INFO::Creating boxplot for categorical data, diagnosis vs F813
## 2024-06-26 20:25:48.429203 INFO::Creating boxplot for categorical data, diagnosis vs F653
## 2024-06-26 20:25:48.925366 INFO::Creating boxplot for categorical data, diagnosis vs F524
## 2024-06-26 20:25:49.409669 INFO::Creating boxplot for categorical data, diagnosis vs F777
## 2024-06-26 20:25:49.905695 INFO::Creating boxplot for categorical data, diagnosis vs F226
## 2024-06-26 20:25:50.383496 INFO::Creating boxplot for categorical data, diagnosis vs F227
## 2024-06-26 20:25:50.958515 INFO::Creating boxplot for categorical data, diagnosis vs F521
## 2024-06-26 20:25:51.526941 INFO::Creating boxplot for categorical data, diagnosis vs F14
## 2024-06-26 20:25:52.039435 INFO::Creating boxplot for categorical data, diagnosis vs F310
## 2024-06-26 20:25:52.582006 INFO::Creating boxplot for categorical data, diagnosis vs F452
## 2024-06-26 20:25:53.066279 INFO::Creating boxplot for categorical data, diagnosis vs F52
## 2024-06-26 20:25:53.58551 INFO::Creating boxplot for categorical data, diagnosis vs F53
## 2024-06-26 20:25:54.097031 INFO::Creating boxplot for categorical data, diagnosis vs F844
## 2024-06-26 20:25:54.627845 INFO::Creating boxplot for categorical data, diagnosis vs F31
## 2024-06-26 20:25:55.119111 INFO::Creating boxplot for categorical data, diagnosis vs F795
## 2024-06-26 20:25:55.699032 INFO::Creating boxplot for categorical data, diagnosis vs F766
## 2024-06-26 20:25:56.305477 INFO::Creating boxplot for categorical data, diagnosis vs F342
## 2024-06-26 20:25:56.795315 INFO::Creating boxplot for categorical data, diagnosis vs F408
## 2024-06-26 20:25:57.317036 INFO::Creating boxplot for categorical data, diagnosis vs F282
## 2024-06-26 20:25:57.808205 INFO::Creating boxplot for categorical data, diagnosis vs F508
## 2024-06-26 20:25:58.302959 INFO::Creating boxplot for categorical data, diagnosis vs F805
## 2024-06-26 20:25:58.8129 INFO::Creating boxplot for categorical data, diagnosis vs F337
## 2024-06-26 20:25:59.48507 INFO::Creating boxplot for categorical data, diagnosis vs F820
## 2024-06-26 20:25:59.98885 INFO::Creating boxplot for categorical data, diagnosis vs F593
## 2024-06-26 20:26:00.488047 INFO::Creating boxplot for categorical data, diagnosis vs F701
## 2024-06-26 20:26:00.975929 INFO::Creating boxplot for categorical data, diagnosis vs F459
## 2024-06-26 20:26:01.447382 INFO::Creating boxplot for categorical data, diagnosis vs F305
## 2024-06-26 20:26:01.940253 INFO::Creating boxplot for categorical data, diagnosis vs F142
## 2024-06-26 20:26:02.424656 INFO::Creating boxplot for categorical data, diagnosis vs F534
## 2024-06-26 20:26:02.994764 INFO::Creating boxplot for categorical data, diagnosis vs F135
## 2024-06-26 20:26:03.515372 INFO::Creating boxplot for categorical data, diagnosis vs F702
## 2024-06-26 20:26:04.085196 INFO::Creating boxplot for categorical data, diagnosis vs F776
## 2024-06-26 20:26:04.638195 INFO::Creating boxplot for categorical data, diagnosis vs F295
## 2024-06-26 20:26:05.144435 INFO::Creating boxplot for categorical data, diagnosis vs F355
## 2024-06-26 20:26:05.717937 INFO::Creating boxplot for categorical data, diagnosis vs F797
## 2024-06-26 20:26:06.200653 INFO::Creating boxplot for categorical data, diagnosis vs F13
## 2024-06-26 20:26:06.686046 INFO::Creating boxplot for categorical data, diagnosis vs F356
## 2024-06-26 20:26:07.19458 INFO::Creating boxplot for categorical data, diagnosis vs F359
## 2024-06-26 20:26:07.721087 INFO::Creating boxplot for categorical data, diagnosis vs F121
## 2024-06-26 20:26:08.240893 INFO::Creating boxplot for categorical data, diagnosis vs F850
## 2024-06-26 20:26:08.762539 INFO::Creating boxplot for categorical data, diagnosis vs F899
## 2024-06-26 20:26:09.242948 INFO::Creating boxplot for categorical data, diagnosis vs F628
## 2024-06-26 20:26:09.727732 INFO::Creating boxplot for categorical data, diagnosis vs F843
## 2024-06-26 20:26:10.193225 INFO::Creating boxplot for categorical data, diagnosis vs F107
## 2024-06-26 20:26:10.67412 INFO::Creating boxplot for categorical data, diagnosis vs F287
## 2024-06-26 20:26:11.182244 INFO::Creating boxplot for categorical data, diagnosis vs F165
## 2024-06-26 20:26:11.655282 INFO::Creating boxplot for categorical data, diagnosis vs F557
## 2024-06-26 20:26:12.153194 INFO::Creating boxplot for categorical data, diagnosis vs F127
## 2024-06-26 20:26:12.700559 INFO::Creating boxplot for categorical data, diagnosis vs F299
## 2024-06-26 20:26:13.214274 INFO::Creating boxplot for categorical data, diagnosis vs F497
## 2024-06-26 20:26:13.755219 INFO::Creating boxplot for categorical data, diagnosis vs F711
## 2024-06-26 20:26:14.31474 INFO::Creating boxplot for categorical data, diagnosis vs F319
## 2024-06-26 20:26:14.832833 INFO::Creating boxplot for categorical data, diagnosis vs F271
## 2024-06-26 20:26:15.319215 INFO::Creating boxplot for categorical data, diagnosis vs F157
## 2024-06-26 20:26:15.787391 INFO::Creating boxplot for categorical data, diagnosis vs F560
## 2024-06-26 20:26:16.276633 INFO::Creating boxplot for categorical data, diagnosis vs F680
## 2024-06-26 20:26:16.796755 INFO::Creating boxplot for categorical data, diagnosis vs F580
## 2024-06-26 20:26:17.328996 INFO::Creating boxplot for categorical data, diagnosis vs F152
## 2024-06-26 20:26:17.814672 INFO::Creating boxplot for categorical data, diagnosis vs F12
## 2024-06-26 20:26:18.300687 INFO::Creating boxplot for categorical data, diagnosis vs F324
## 2024-06-26 20:26:18.819556 INFO::Creating boxplot for categorical data, diagnosis vs F893
## 2024-06-26 20:26:19.423434 INFO::Creating boxplot for categorical data, diagnosis vs F318
## 2024-06-26 20:26:19.953496 INFO::Creating boxplot for categorical data, diagnosis vs F784
## 2024-06-26 20:26:20.444767 INFO::Creating boxplot for categorical data, diagnosis vs F567
## 2024-06-26 20:26:20.970327 INFO::Creating boxplot for categorical data, diagnosis vs F457
## 2024-06-26 20:26:21.464264 INFO::Creating boxplot for categorical data, diagnosis vs F708
## 2024-06-26 20:26:21.983273 INFO::Creating boxplot for categorical data, diagnosis vs F669
## 2024-06-26 20:26:22.432155 INFO::Creating boxplot for categorical data, diagnosis vs F87
## 2024-06-26 20:26:27.714543 INFO::Plotting data for metadata number 2, antibiotics
## 2024-06-26 20:26:27.719058 INFO::Creating boxplot for categorical data, antibiotics vs F663
## 2024-06-26 20:26:28.208306 INFO::Creating boxplot for categorical data, antibiotics vs F838
## 2024-06-26 20:26:28.709229 INFO::Creating boxplot for categorical data, antibiotics vs F764
## 2024-06-26 20:26:29.210196 INFO::Creating boxplot for categorical data, antibiotics vs F880
## 2024-06-26 20:26:29.707076 INFO::Creating boxplot for categorical data, antibiotics vs F751
## 2024-06-26 20:26:30.240031 INFO::Creating boxplot for categorical data, antibiotics vs F288
## 2024-06-26 20:26:30.746076 INFO::Creating boxplot for categorical data, antibiotics vs F65
## 2024-06-26 20:26:31.631233 INFO::Creating boxplot for categorical data, antibiotics vs F742
## 2024-06-26 20:26:32.132494 INFO::Creating boxplot for categorical data, antibiotics vs F528
## 2024-06-26 20:26:32.636753 INFO::Creating boxplot for categorical data, antibiotics vs F790
## 2024-06-26 20:26:33.197623 INFO::Creating boxplot for categorical data, antibiotics vs F777
## 2024-06-26 20:26:33.709922 INFO::Creating boxplot for categorical data, antibiotics vs F178
## 2024-06-26 20:26:34.20395 INFO::Creating boxplot for categorical data, antibiotics vs F139
## 2024-06-26 20:26:34.727987 INFO::Creating boxplot for categorical data, antibiotics vs F202
## 2024-06-26 20:26:35.279794 INFO::Creating boxplot for categorical data, antibiotics vs F220
## 2024-06-26 20:26:35.79565 INFO::Creating boxplot for categorical data, antibiotics vs F397
## 2024-06-26 20:26:36.290092 INFO::Creating boxplot for categorical data, antibiotics vs F882
## 2024-06-26 20:26:36.827282 INFO::Creating boxplot for categorical data, antibiotics vs F446
## 2024-06-26 20:26:37.320356 INFO::Creating boxplot for categorical data, antibiotics vs F418
## 2024-06-26 20:26:37.788141 INFO::Creating boxplot for categorical data, antibiotics vs F133
## 2024-06-26 20:26:38.305869 INFO::Creating boxplot for categorical data, antibiotics vs F696
## 2024-06-26 20:26:38.794694 INFO::Creating boxplot for categorical data, antibiotics vs F548
## 2024-06-26 20:26:39.289407 INFO::Creating boxplot for categorical data, antibiotics vs F536
## 2024-06-26 20:26:39.78296 INFO::Creating boxplot for categorical data, antibiotics vs F194
## 2024-06-26 20:26:40.26694 INFO::Creating boxplot for categorical data, antibiotics vs F34
## 2024-06-26 20:26:40.767295 INFO::Creating boxplot for categorical data, antibiotics vs F153
## 2024-06-26 20:26:41.248229 INFO::Creating boxplot for categorical data, antibiotics vs F400
## 2024-06-26 20:26:41.713046 INFO::Creating boxplot for categorical data, antibiotics vs F794
## 2024-06-26 20:26:42.186498 INFO::Creating boxplot for categorical data, antibiotics vs F396
## 2024-06-26 20:26:42.672728 INFO::Creating boxplot for categorical data, antibiotics vs F182
## 2024-06-26 20:26:43.181874 INFO::Creating boxplot for categorical data, antibiotics vs F719
## 2024-06-26 20:26:43.716392 INFO::Creating boxplot for categorical data, antibiotics vs F109
## 2024-06-26 20:26:44.207264 INFO::Creating boxplot for categorical data, antibiotics vs F180
## 2024-06-26 20:26:44.706371 INFO::Creating boxplot for categorical data, antibiotics vs F552
## 2024-06-26 20:26:45.193458 INFO::Creating boxplot for categorical data, antibiotics vs F789
## 2024-06-26 20:26:45.725409 INFO::Creating boxplot for categorical data, antibiotics vs F893
## 2024-06-26 20:26:46.233762 INFO::Creating boxplot for categorical data, antibiotics vs F834
## 2024-06-26 20:26:46.736303 INFO::Creating boxplot for categorical data, antibiotics vs F889
## 2024-06-26 20:26:47.225428 INFO::Creating boxplot for categorical data, antibiotics vs F143
## 2024-06-26 20:26:47.701379 INFO::Creating boxplot for categorical data, antibiotics vs F224
## 2024-06-26 20:26:48.231147 INFO::Creating boxplot for categorical data, antibiotics vs F5
## 2024-06-26 20:26:48.728176 INFO::Creating boxplot for categorical data, antibiotics vs F873
## 2024-06-26 20:26:49.219443 INFO::Creating boxplot for categorical data, antibiotics vs F452
## 2024-06-26 20:26:49.729962 INFO::Creating boxplot for categorical data, antibiotics vs F681
## 2024-06-26 20:26:50.211828 INFO::Creating boxplot for categorical data, antibiotics vs F468
## 2024-06-26 20:26:50.734335 INFO::Creating boxplot for categorical data, antibiotics vs F731
## 2024-06-26 20:26:51.22591 INFO::Creating boxplot for categorical data, antibiotics vs F479
## 2024-06-26 20:26:51.714865 INFO::Creating boxplot for categorical data, antibiotics vs F520
## 2024-06-26 20:26:52.246904 INFO::Creating boxplot for categorical data, antibiotics vs F649
## 2024-06-26 20:26:52.757985 INFO::Creating boxplot for categorical data, antibiotics vs F259
## 2024-06-26 20:26:53.292296 INFO::Creating boxplot for categorical data, antibiotics vs F186
## 2024-06-26 20:26:53.797775 INFO::Creating boxplot for categorical data, antibiotics vs F312
## 2024-06-26 20:26:54.290102 INFO::Creating boxplot for categorical data, antibiotics vs F477
## 2024-06-26 20:26:54.820506 INFO::Creating boxplot for categorical data, antibiotics vs F4
## 2024-06-26 20:26:55.332184 INFO::Creating boxplot for categorical data, antibiotics vs F632
## 2024-06-26 20:26:55.886217 INFO::Creating boxplot for categorical data, antibiotics vs F31
## 2024-06-26 20:26:56.385404 INFO::Creating boxplot for categorical data, antibiotics vs F184
## 2024-06-26 20:26:56.857019 INFO::Creating boxplot for categorical data, antibiotics vs F7
## 2024-06-26 20:26:57.327813 INFO::Creating boxplot for categorical data, antibiotics vs F213
## 2024-06-26 20:26:57.808957 INFO::Creating boxplot for categorical data, antibiotics vs F691
## 2024-06-26 20:26:58.362481 INFO::Creating boxplot for categorical data, antibiotics vs F828
## 2024-06-26 20:26:58.855153 INFO::Creating boxplot for categorical data, antibiotics vs F831
## 2024-06-26 20:26:59.348175 INFO::Creating boxplot for categorical data, antibiotics vs F315
## 2024-06-26 20:26:59.878413 INFO::Creating boxplot for categorical data, antibiotics vs F159
## 2024-06-26 20:27:00.433619 INFO::Creating boxplot for categorical data, antibiotics vs F331
## 2024-06-26 20:27:00.989875 INFO::Creating boxplot for categorical data, antibiotics vs F757
## 2024-06-26 20:27:01.489752 INFO::Creating boxplot for categorical data, antibiotics vs F167
## 2024-06-26 20:27:01.993298 INFO::Creating boxplot for categorical data, antibiotics vs F85
## 2024-06-26 20:27:02.505646 INFO::Creating boxplot for categorical data, antibiotics vs F80
## 2024-06-26 20:27:03.00324 INFO::Creating boxplot for categorical data, antibiotics vs F105
## 2024-06-26 20:27:03.563432 INFO::Creating boxplot for categorical data, antibiotics vs F674
## 2024-06-26 20:27:04.065325 INFO::Creating boxplot for categorical data, antibiotics vs F50
## 2024-06-26 20:27:04.573416 INFO::Creating boxplot for categorical data, antibiotics vs F164
## 2024-06-26 20:27:05.066341 INFO::Creating boxplot for categorical data, antibiotics vs F840
## 2024-06-26 20:27:05.614834 INFO::Creating boxplot for categorical data, antibiotics vs F232
## 2024-06-26 20:27:06.125681 INFO::Creating boxplot for categorical data, antibiotics vs F872
## 2024-06-26 20:27:06.641734 INFO::Creating boxplot for categorical data, antibiotics vs F54
## 2024-06-26 20:27:07.174062 INFO::Creating boxplot for categorical data, antibiotics vs F365
## 2024-06-26 20:27:07.692856 INFO::Creating boxplot for categorical data, antibiotics vs F499
## 2024-06-26 20:27:08.213403 INFO::Creating boxplot for categorical data, antibiotics vs F510
## 2024-06-26 20:27:08.724002 INFO::Creating boxplot for categorical data, antibiotics vs F716
## 2024-06-26 20:27:09.262452 INFO::Creating boxplot for categorical data, antibiotics vs F454
## 2024-06-26 20:27:09.768907 INFO::Creating boxplot for categorical data, antibiotics vs F52
## 2024-06-26 20:27:10.278779 INFO::Creating boxplot for categorical data, antibiotics vs F273
## 2024-06-26 20:27:10.83007 INFO::Creating boxplot for categorical data, antibiotics vs F474
## 2024-06-26 20:27:11.333873 INFO::Creating boxplot for categorical data, antibiotics vs F267
## 2024-06-26 20:27:11.916615 INFO::Creating boxplot for categorical data, antibiotics vs F253
## 2024-06-26 20:27:12.416858 INFO::Creating boxplot for categorical data, antibiotics vs F247
## 2024-06-26 20:27:12.907633 INFO::Creating boxplot for categorical data, antibiotics vs F708
## 2024-06-26 20:27:13.474964 INFO::Creating boxplot for categorical data, antibiotics vs F438
## 2024-06-26 20:27:13.998932 INFO::Creating boxplot for categorical data, antibiotics vs F450
## 2024-06-26 20:27:14.50521 INFO::Creating boxplot for categorical data, antibiotics vs F666
## 2024-06-26 20:27:15.023582 INFO::Creating boxplot for categorical data, antibiotics vs F720
## 2024-06-26 20:27:15.530418 INFO::Creating boxplot for categorical data, antibiotics vs F48
## 2024-06-26 20:27:16.057612 INFO::Creating boxplot for categorical data, antibiotics vs F371
## 2024-06-26 20:27:16.547461 INFO::Creating boxplot for categorical data, antibiotics vs F423
## 2024-06-26 20:27:17.03601 INFO::Creating boxplot for categorical data, antibiotics vs F190
## 2024-06-26 20:27:17.524626 INFO::Creating boxplot for categorical data, antibiotics vs F351
## 2024-06-26 20:27:18.030833 INFO::Creating boxplot for categorical data, antibiotics vs F394
## 2024-06-26 20:27:18.613279 INFO::Creating boxplot for categorical data, antibiotics vs F581
## 2024-06-26 20:27:19.104039 INFO::Creating boxplot for categorical data, antibiotics vs F276
## 2024-06-26 20:27:19.604247 INFO::Creating boxplot for categorical data, antibiotics vs F608
## 2024-06-26 20:27:20.106376 INFO::Creating boxplot for categorical data, antibiotics vs F28
## 2024-06-26 20:27:20.673456 INFO::Creating boxplot for categorical data, antibiotics vs F805
## 2024-06-26 20:27:21.23113 INFO::Creating boxplot for categorical data, antibiotics vs F249
## 2024-06-26 20:27:21.742008 INFO::Creating boxplot for categorical data, antibiotics vs F776
## 2024-06-26 20:27:22.23766 INFO::Creating boxplot for categorical data, antibiotics vs F755
## 2024-06-26 20:27:22.751641 INFO::Creating boxplot for categorical data, antibiotics vs F68
## 2024-06-26 20:27:23.266442 INFO::Creating boxplot for categorical data, antibiotics vs F78
## 2024-06-26 20:27:23.783933 INFO::Creating boxplot for categorical data, antibiotics vs F381
## 2024-06-26 20:27:24.267638 INFO::Creating boxplot for categorical data, antibiotics vs F644
## 2024-06-26 20:27:24.775768 INFO::Creating boxplot for categorical data, antibiotics vs F358
## 2024-06-26 20:27:25.278195 INFO::Creating boxplot for categorical data, antibiotics vs F344
## 2024-06-26 20:27:25.809711 INFO::Creating boxplot for categorical data, antibiotics vs F209
## 2024-06-26 20:27:26.321623 INFO::Creating boxplot for categorical data, antibiotics vs F898
## 2024-06-26 20:27:26.806468 INFO::Creating boxplot for categorical data, antibiotics vs F51
## 2024-06-26 20:27:27.307073 INFO::Creating boxplot for categorical data, antibiotics vs F149
## 2024-06-26 20:27:27.829952 INFO::Creating boxplot for categorical data, antibiotics vs F108
## 2024-06-26 20:27:28.45713 INFO::Creating boxplot for categorical data, antibiotics vs F255
## 2024-06-26 20:27:28.977529 INFO::Creating boxplot for categorical data, antibiotics vs F823
## 2024-06-26 20:27:29.488728 INFO::Creating boxplot for categorical data, antibiotics vs F864
## 2024-06-26 20:27:29.993236 INFO::Creating boxplot for categorical data, antibiotics vs F214
## 2024-06-26 20:27:30.50275 INFO::Creating boxplot for categorical data, antibiotics vs F76
## 2024-06-26 20:27:31.047355 INFO::Creating boxplot for categorical data, antibiotics vs F575
## 2024-06-26 20:27:31.522833 INFO::Creating boxplot for categorical data, antibiotics vs F13
## 2024-06-26 20:27:32.025414 INFO::Creating boxplot for categorical data, antibiotics vs F389
## 2024-06-26 20:27:32.52326 INFO::Creating boxplot for categorical data, antibiotics vs F556
## 2024-06-26 20:27:33.0254 INFO::Creating boxplot for categorical data, antibiotics vs F49
## 2024-06-26 20:27:33.552614 INFO::Creating boxplot for categorical data, antibiotics vs F436
## 2024-06-26 20:27:34.061804 INFO::Creating boxplot for categorical data, antibiotics vs F378
## 2024-06-26 20:27:34.58883 INFO::Creating boxplot for categorical data, antibiotics vs F682
## 2024-06-26 20:27:35.106643 INFO::Creating boxplot for categorical data, antibiotics vs F47
## 2024-06-26 20:27:35.605447 INFO::Creating boxplot for categorical data, antibiotics vs F429
## 2024-06-26 20:27:36.151728 INFO::Creating boxplot for categorical data, antibiotics vs F588
## 2024-06-26 20:27:36.656257 INFO::Creating boxplot for categorical data, antibiotics vs F616
## 2024-06-26 20:27:37.173396 INFO::Creating boxplot for categorical data, antibiotics vs F323
## 2024-06-26 20:27:37.696643 INFO::Creating boxplot for categorical data, antibiotics vs F409
## 2024-06-26 20:27:38.195692 INFO::Creating boxplot for categorical data, antibiotics vs F326
## 2024-06-26 20:27:38.709702 INFO::Creating boxplot for categorical data, antibiotics vs F698
## 2024-06-26 20:27:39.212347 INFO::Creating boxplot for categorical data, antibiotics vs F567
## 2024-06-26 20:27:39.709668 INFO::Creating boxplot for categorical data, antibiotics vs F179
## 2024-06-26 20:27:40.233902 INFO::Creating boxplot for categorical data, antibiotics vs F787
## 2024-06-26 20:27:40.736916 INFO::Creating boxplot for categorical data, antibiotics vs F79
## 2024-06-26 20:27:41.284187 INFO::Creating boxplot for categorical data, antibiotics vs F335
## 2024-06-26 20:27:41.839031 INFO::Creating boxplot for categorical data, antibiotics vs F576
## 2024-06-26 20:27:42.408968 INFO::Creating boxplot for categorical data, antibiotics vs F667
## 2024-06-26 20:27:42.995675 INFO::Creating boxplot for categorical data, antibiotics vs F694
## 2024-06-26 20:27:43.587596 INFO::Creating boxplot for categorical data, antibiotics vs F297
## 2024-06-26 20:27:44.204303 INFO::Creating boxplot for categorical data, antibiotics vs F569
## 2024-06-26 20:27:44.770976 INFO::Creating boxplot for categorical data, antibiotics vs F138
## 2024-06-26 20:27:45.339287 INFO::Creating boxplot for categorical data, antibiotics vs F611
## 2024-06-26 20:27:45.907954 INFO::Creating boxplot for categorical data, antibiotics vs F810
## 2024-06-26 20:27:46.470192 INFO::Creating boxplot for categorical data, antibiotics vs F746
## 2024-06-26 20:27:47.047091 INFO::Creating boxplot for categorical data, antibiotics vs F23
## 2024-06-26 20:27:47.625621 INFO::Creating boxplot for categorical data, antibiotics vs F135
## 2024-06-26 20:27:48.190939 INFO::Creating boxplot for categorical data, antibiotics vs F411
## 2024-06-26 20:27:48.775875 INFO::Creating boxplot for categorical data, antibiotics vs F489
## 2024-06-26 20:27:49.349054 INFO::Creating boxplot for categorical data, antibiotics vs F492
## 2024-06-26 20:27:49.956108 INFO::Creating boxplot for categorical data, antibiotics vs F844
## 2024-06-26 20:27:50.517572 INFO::Creating boxplot for categorical data, antibiotics vs F586
## 2024-06-26 20:27:51.070904 INFO::Creating boxplot for categorical data, antibiotics vs F11
## 2024-06-26 20:27:51.657146 INFO::Creating boxplot for categorical data, antibiotics vs F900
## 2024-06-26 20:27:52.205691 INFO::Creating boxplot for categorical data, antibiotics vs F21
## 2024-06-26 20:27:52.814633 INFO::Creating boxplot for categorical data, antibiotics vs F736
## 2024-06-26 20:27:53.39002 INFO::Creating boxplot for categorical data, antibiotics vs F408
## 2024-06-26 20:27:53.977728 INFO::Creating boxplot for categorical data, antibiotics vs F788
## 2024-06-26 20:27:54.53734 INFO::Creating boxplot for categorical data, antibiotics vs F66
## 2024-06-26 20:27:55.102848 INFO::Creating boxplot for categorical data, antibiotics vs F493
## 2024-06-26 20:27:55.705856 INFO::Creating boxplot for categorical data, antibiotics vs F343
## 2024-06-26 20:27:56.332714 INFO::Creating boxplot for categorical data, antibiotics vs F352
## 2024-06-26 20:27:56.895724 INFO::Creating boxplot for categorical data, antibiotics vs F677
## 2024-06-26 20:27:57.444143 INFO::Creating boxplot for categorical data, antibiotics vs F816
## 2024-06-26 20:27:57.993326 INFO::Creating boxplot for categorical data, antibiotics vs F457
## 2024-06-26 20:27:58.618427 INFO::Creating boxplot for categorical data, antibiotics vs F330
## 2024-06-26 20:27:59.162947 INFO::Creating boxplot for categorical data, antibiotics vs F293
## 2024-06-26 20:27:59.688436 INFO::Creating boxplot for categorical data, antibiotics vs F725
## 2024-06-26 20:28:00.20929 INFO::Creating boxplot for categorical data, antibiotics vs F813
## 2024-06-26 20:28:00.731433 INFO::Creating boxplot for categorical data, antibiotics vs F295
## 2024-06-26 20:28:01.284271 INFO::Creating boxplot for categorical data, antibiotics vs F656
## 2024-06-26 20:28:01.817385 INFO::Creating boxplot for categorical data, antibiotics vs F669
## 2024-06-26 20:28:02.395171 INFO::Creating boxplot for categorical data, antibiotics vs F15
## 2024-06-26 20:28:02.984456 INFO::Creating boxplot for categorical data, antibiotics vs F419
## 2024-06-26 20:28:03.554197 INFO::Creating boxplot for categorical data, antibiotics vs F701
## 2024-06-26 20:28:04.139574 INFO::Creating boxplot for categorical data, antibiotics vs F176
## 2024-06-26 20:28:04.70324 INFO::Creating boxplot for categorical data, antibiotics vs F203
## 2024-06-26 20:28:05.268245 INFO::Creating boxplot for categorical data, antibiotics vs F501
## 2024-06-26 20:28:05.821512 INFO::Creating boxplot for categorical data, antibiotics vs F772
## 2024-06-26 20:28:06.389644 INFO::Creating boxplot for categorical data, antibiotics vs F488
## 2024-06-26 20:28:07.001762 INFO::Creating boxplot for categorical data, antibiotics vs F600
## 2024-06-26 20:28:07.582756 INFO::Creating boxplot for categorical data, antibiotics vs F768
## 2024-06-26 20:28:08.163799 INFO::Creating boxplot for categorical data, antibiotics vs F432
## 2024-06-26 20:28:08.73443 INFO::Creating boxplot for categorical data, antibiotics vs F26
## 2024-06-26 20:28:09.321109 INFO::Creating boxplot for categorical data, antibiotics vs F189
## 2024-06-26 20:28:09.894309 INFO::Creating boxplot for categorical data, antibiotics vs F200
## 2024-06-26 20:28:10.45917 INFO::Creating boxplot for categorical data, antibiotics vs F121
## 2024-06-26 20:28:11.023148 INFO::Creating boxplot for categorical data, antibiotics vs F624
## 2024-06-26 20:28:11.594153 INFO::Creating boxplot for categorical data, antibiotics vs F855
## 2024-06-26 20:28:12.230438 INFO::Creating boxplot for categorical data, antibiotics vs F380
## 2024-06-26 20:28:12.802497 INFO::Creating boxplot for categorical data, antibiotics vs F734
## 2024-06-26 20:28:13.395785 INFO::Creating boxplot for categorical data, antibiotics vs F16
## 2024-06-26 20:28:13.984424 INFO::Creating boxplot for categorical data, antibiotics vs F602
## 2024-06-26 20:28:14.559347 INFO::Creating boxplot for categorical data, antibiotics vs F210
## 2024-06-26 20:28:15.152259 INFO::Creating boxplot for categorical data, antibiotics vs F217
## 2024-06-26 20:28:15.722474 INFO::Creating boxplot for categorical data, antibiotics vs F640
## 2024-06-26 20:28:16.282752 INFO::Creating boxplot for categorical data, antibiotics vs F631
## 2024-06-26 20:28:16.880545 INFO::Creating boxplot for categorical data, antibiotics vs F32
## 2024-06-26 20:28:17.458626 INFO::Creating boxplot for categorical data, antibiotics vs F322
## 2024-06-26 20:28:18.075866 INFO::Creating boxplot for categorical data, antibiotics vs F476
## 2024-06-26 20:28:18.64197 INFO::Creating boxplot for categorical data, antibiotics vs F265
## 2024-06-26 20:28:19.207963 INFO::Creating boxplot for categorical data, antibiotics vs F283
## 2024-06-26 20:28:19.798034 INFO::Creating boxplot for categorical data, antibiotics vs F316
## 2024-06-26 20:28:20.379045 INFO::Creating boxplot for categorical data, antibiotics vs F465
## 2024-06-26 20:28:20.972293 INFO::Creating boxplot for categorical data, antibiotics vs F24
## 2024-06-26 20:28:21.544688 INFO::Creating boxplot for categorical data, antibiotics vs F38
## 2024-06-26 20:28:22.115563 INFO::Creating boxplot for categorical data, antibiotics vs F82
## 2024-06-26 20:28:22.688591 INFO::Creating boxplot for categorical data, antibiotics vs F86
## 2024-06-26 20:28:23.285771 INFO::Creating boxplot for categorical data, antibiotics vs F270
## 2024-06-26 20:28:23.907925 INFO::Creating boxplot for categorical data, antibiotics vs F485
## 2024-06-26 20:28:24.474111 INFO::Creating boxplot for categorical data, antibiotics vs F486
## 2024-06-26 20:28:25.047246 INFO::Creating boxplot for categorical data, antibiotics vs F399
## 2024-06-26 20:28:25.620267 INFO::Creating boxplot for categorical data, antibiotics vs F573
## 2024-06-26 20:28:26.248989 INFO::Creating boxplot for categorical data, antibiotics vs F877
## 2024-06-26 20:28:26.81136 INFO::Creating boxplot for categorical data, antibiotics vs F709
## 2024-06-26 20:28:27.376866 INFO::Creating boxplot for categorical data, antibiotics vs F227
## 2024-06-26 20:28:27.94125 INFO::Creating boxplot for categorical data, antibiotics vs F553
## 2024-06-26 20:28:28.498328 INFO::Creating boxplot for categorical data, antibiotics vs F123
## 2024-06-26 20:28:29.086567 INFO::Creating boxplot for categorical data, antibiotics vs F118
## 2024-06-26 20:28:29.674738 INFO::Creating boxplot for categorical data, antibiotics vs F605
## 2024-06-26 20:28:30.23971 INFO::Creating boxplot for categorical data, antibiotics vs F619
## 2024-06-26 20:28:30.832509 INFO::Creating boxplot for categorical data, antibiotics vs F830
## 2024-06-26 20:28:31.445311 INFO::Creating boxplot for categorical data, antibiotics vs F837
## 2024-06-26 20:28:32.035317 INFO::Creating boxplot for categorical data, antibiotics vs F12
## 2024-06-26 20:28:32.657378 INFO::Creating boxplot for categorical data, antibiotics vs F623
## 2024-06-26 20:28:33.220435 INFO::Creating boxplot for categorical data, antibiotics vs F806
## 2024-06-26 20:28:33.788984 INFO::Creating boxplot for categorical data, antibiotics vs F353
## 2024-06-26 20:28:34.360168 INFO::Creating boxplot for categorical data, antibiotics vs F829
## 2024-06-26 20:28:35.063251 INFO::Creating boxplot for categorical data, antibiotics vs F289
## 2024-06-26 20:28:35.759463 INFO::Creating boxplot for categorical data, antibiotics vs F93
## 2024-06-26 20:28:36.322858 INFO::Creating boxplot for categorical data, antibiotics vs F379
## 2024-06-26 20:28:36.898326 INFO::Creating boxplot for categorical data, antibiotics vs F370
## 2024-06-26 20:28:37.475029 INFO::Creating boxplot for categorical data, antibiotics vs F360
## 2024-06-26 20:28:38.039216 INFO::Creating boxplot for categorical data, antibiotics vs F710
## 2024-06-26 20:28:38.650926 INFO::Creating boxplot for categorical data, antibiotics vs F388
## 2024-06-26 20:28:39.233449 INFO::Creating boxplot for categorical data, antibiotics vs F796
## 2024-06-26 20:28:39.824729 INFO::Creating boxplot for categorical data, antibiotics vs F174
## 2024-06-26 20:28:40.405545 INFO::Creating boxplot for categorical data, antibiotics vs F601
## 2024-06-26 20:28:40.967044 INFO::Creating boxplot for categorical data, antibiotics vs F775
## 2024-06-26 20:28:41.680712 INFO::Creating boxplot for categorical data, antibiotics vs F836
## 2024-06-26 20:28:42.459269 INFO::Creating boxplot for categorical data, antibiotics vs F192
## 2024-06-26 20:28:43.501261 INFO::Creating boxplot for categorical data, antibiotics vs F463
## 2024-06-26 20:28:44.430987 INFO::Creating boxplot for categorical data, antibiotics vs F57
## 2024-06-26 20:28:45.704788 INFO::Creating boxplot for categorical data, antibiotics vs F658
## 2024-06-26 20:28:46.776727 INFO::Creating boxplot for categorical data, antibiotics vs F596
## 2024-06-26 20:28:47.676281 INFO::Creating boxplot for categorical data, antibiotics vs F218
## 2024-06-26 20:28:49.062833 INFO::Creating boxplot for categorical data, antibiotics vs F104
## 2024-06-26 20:28:50.662461 INFO::Creating boxplot for categorical data, antibiotics vs F466
## 2024-06-26 20:28:52.084126 INFO::Creating boxplot for categorical data, antibiotics vs F737
## 2024-06-26 20:28:53.324181 INFO::Creating boxplot for categorical data, antibiotics vs F487
## 2024-06-26 20:28:54.335098 INFO::Creating boxplot for categorical data, antibiotics vs F369
## 2024-06-26 20:28:55.647578 INFO::Creating boxplot for categorical data, antibiotics vs F584
## 2024-06-26 20:28:57.344064 INFO::Creating boxplot for categorical data, antibiotics vs F166
## 2024-06-26 20:28:58.035102 INFO::Creating boxplot for categorical data, antibiotics vs F822
## 2024-06-26 20:28:59.077482 INFO::Creating boxplot for categorical data, antibiotics vs F416
## 2024-06-26 20:29:00.055851 INFO::Creating boxplot for categorical data, antibiotics vs F70
## 2024-06-26 20:29:00.82527 INFO::Creating boxplot for categorical data, antibiotics vs F243
## 2024-06-26 20:29:01.51451 INFO::Creating boxplot for categorical data, antibiotics vs F498
## 2024-06-26 20:29:02.04609 INFO::Creating boxplot for categorical data, antibiotics vs F272
## 2024-06-26 20:29:02.629593 INFO::Creating boxplot for categorical data, antibiotics vs F846
## 2024-06-26 20:29:03.231981 INFO::Creating boxplot for categorical data, antibiotics vs F881
## 2024-06-26 20:29:03.74812 INFO::Creating boxplot for categorical data, antibiotics vs F280
## 2024-06-26 20:29:04.302358 INFO::Creating boxplot for categorical data, antibiotics vs F761
## 2024-06-26 20:29:04.966538 INFO::Creating boxplot for categorical data, antibiotics vs F781
## 2024-06-26 20:29:05.539918 INFO::Creating boxplot for categorical data, antibiotics vs F697
## 2024-06-26 20:29:06.055681 INFO::Creating boxplot for categorical data, antibiotics vs F890
## 2024-06-26 20:29:06.59285 INFO::Creating boxplot for categorical data, antibiotics vs F197
## 2024-06-26 20:29:07.149952 INFO::Creating boxplot for categorical data, antibiotics vs F826
## 2024-06-26 20:29:07.738242 INFO::Creating boxplot for categorical data, antibiotics vs F641
## 2024-06-26 20:29:08.319276 INFO::Creating boxplot for categorical data, antibiotics vs F700
## 2024-06-26 20:29:08.869626 INFO::Creating boxplot for categorical data, antibiotics vs F531
## 2024-06-26 20:29:09.395037 INFO::Creating boxplot for categorical data, antibiotics vs F660
## 2024-06-26 20:29:09.912911 INFO::Creating boxplot for categorical data, antibiotics vs F257
## 2024-06-26 20:29:10.4408 INFO::Creating boxplot for categorical data, antibiotics vs F136
## 2024-06-26 20:29:10.972748 INFO::Creating boxplot for categorical data, antibiotics vs F875
## 2024-06-26 20:29:11.487342 INFO::Creating boxplot for categorical data, antibiotics vs F160
## 2024-06-26 20:29:12.064349 INFO::Creating boxplot for categorical data, antibiotics vs F782
## 2024-06-26 20:29:12.640947 INFO::Creating boxplot for categorical data, antibiotics vs F642
## 2024-06-26 20:29:13.266118 INFO::Creating boxplot for categorical data, antibiotics vs F730
## 2024-06-26 20:29:13.832363 INFO::Creating boxplot for categorical data, antibiotics vs F679
## 2024-06-26 20:29:14.377486 INFO::Creating boxplot for categorical data, antibiotics vs F713
## 2024-06-26 20:29:14.940602 INFO::Creating boxplot for categorical data, antibiotics vs F821
## 2024-06-26 20:29:15.531432 INFO::Creating boxplot for categorical data, antibiotics vs F443
## 2024-06-26 20:29:16.18023 INFO::Creating boxplot for categorical data, antibiotics vs F729
## 2024-06-26 20:29:16.754979 INFO::Creating boxplot for categorical data, antibiotics vs F25
## 2024-06-26 20:29:17.370634 INFO::Creating boxplot for categorical data, antibiotics vs F338
## 2024-06-26 20:29:17.919137 INFO::Creating boxplot for categorical data, antibiotics vs F647
## 2024-06-26 20:29:18.460875 INFO::Creating boxplot for categorical data, antibiotics vs F817
## 2024-06-26 20:29:19.043811 INFO::Creating boxplot for categorical data, antibiotics vs F535
## 2024-06-26 20:29:19.551273 INFO::Creating boxplot for categorical data, antibiotics vs F634
## 2024-06-26 20:29:20.06327 INFO::Creating boxplot for categorical data, antibiotics vs F533
## 2024-06-26 20:29:20.567608 INFO::Creating boxplot for categorical data, antibiotics vs F808
## 2024-06-26 20:29:21.087117 INFO::Creating boxplot for categorical data, antibiotics vs F571
## 2024-06-26 20:29:21.650561 INFO::Creating boxplot for categorical data, antibiotics vs F529
## 2024-06-26 20:29:22.183208 INFO::Creating boxplot for categorical data, antibiotics vs F827
## 2024-06-26 20:29:22.701438 INFO::Creating boxplot for categorical data, antibiotics vs F107
## 2024-06-26 20:29:23.234053 INFO::Creating boxplot for categorical data, antibiotics vs F515
## 2024-06-26 20:29:23.750429 INFO::Creating boxplot for categorical data, antibiotics vs F305
## 2024-06-26 20:29:24.318302 INFO::Creating boxplot for categorical data, antibiotics vs F662
## 2024-06-26 20:29:24.86145 INFO::Creating boxplot for categorical data, antibiotics vs F310
## 2024-06-26 20:29:25.373184 INFO::Creating boxplot for categorical data, antibiotics vs F430
## 2024-06-26 20:29:25.875378 INFO::Creating boxplot for categorical data, antibiotics vs F173
## 2024-06-26 20:29:26.392319 INFO::Creating boxplot for categorical data, antibiotics vs F820
## 2024-06-26 20:29:26.964477 INFO::Creating boxplot for categorical data, antibiotics vs F743
## 2024-06-26 20:29:27.467173 INFO::Creating boxplot for categorical data, antibiotics vs F63
## 2024-06-26 20:29:27.966951 INFO::Creating boxplot for categorical data, antibiotics vs F215
## 2024-06-26 20:29:28.461377 INFO::Creating boxplot for categorical data, antibiotics vs F216
## 2024-06-26 20:29:29.002324 INFO::Creating boxplot for categorical data, antibiotics vs F245
## 2024-06-26 20:29:29.531315 INFO::Creating boxplot for categorical data, antibiotics vs F862
## 2024-06-26 20:29:30.032996 INFO::Creating boxplot for categorical data, antibiotics vs F541
## 2024-06-26 20:29:30.563453 INFO::Creating boxplot for categorical data, antibiotics vs F558
## 2024-06-26 20:29:31.076904 INFO::Creating boxplot for categorical data, antibiotics vs F633
## 2024-06-26 20:29:31.644331 INFO::Creating boxplot for categorical data, antibiotics vs F94
## 2024-06-26 20:29:32.145071 INFO::Creating boxplot for categorical data, antibiotics vs F574
## 2024-06-26 20:29:32.662302 INFO::Creating boxplot for categorical data, antibiotics vs F238
## 2024-06-26 20:29:33.185432 INFO::Creating boxplot for categorical data, antibiotics vs F815
## 2024-06-26 20:29:33.693125 INFO::Creating boxplot for categorical data, antibiotics vs F587
## 2024-06-26 20:29:34.319495 INFO::Creating boxplot for categorical data, antibiotics vs F464
## 2024-06-26 20:29:34.831853 INFO::Creating boxplot for categorical data, antibiotics vs F590
## 2024-06-26 20:29:35.354317 INFO::Creating boxplot for categorical data, antibiotics vs F124
## 2024-06-26 20:29:35.885648 INFO::Creating boxplot for categorical data, antibiotics vs F664
## 2024-06-26 20:29:36.389881 INFO::Creating boxplot for categorical data, antibiotics vs F100
## 2024-06-26 20:29:36.920541 INFO::Creating boxplot for categorical data, antibiotics vs F744
## 2024-06-26 20:29:37.454032 INFO::Creating boxplot for categorical data, antibiotics vs F444
## 2024-06-26 20:29:37.988552 INFO::Creating boxplot for categorical data, antibiotics vs F597
## 2024-06-26 20:29:38.537214 INFO::Creating boxplot for categorical data, antibiotics vs F650
## 2024-06-26 20:29:39.041672 INFO::Creating boxplot for categorical data, antibiotics vs F147
## 2024-06-26 20:29:39.579122 INFO::Creating boxplot for categorical data, antibiotics vs F363
## 2024-06-26 20:29:40.078234 INFO::Creating boxplot for categorical data, antibiotics vs F521
## 2024-06-26 20:29:40.583136 INFO::Creating boxplot for categorical data, antibiotics vs F412
## 2024-06-26 20:29:41.130818 INFO::Creating boxplot for categorical data, antibiotics vs F279
## 2024-06-26 20:29:41.670576 INFO::Creating boxplot for categorical data, antibiotics vs F225
## 2024-06-26 20:29:42.245758 INFO::Creating boxplot for categorical data, antibiotics vs F10
## 2024-06-26 20:29:42.78191 INFO::Creating boxplot for categorical data, antibiotics vs F481
## 2024-06-26 20:29:43.315983 INFO::Creating boxplot for categorical data, antibiotics vs F861
## 2024-06-26 20:29:43.855495 INFO::Creating boxplot for categorical data, antibiotics vs F888
## 2024-06-26 20:29:44.38712 INFO::Creating boxplot for categorical data, antibiotics vs F156
## 2024-06-26 20:29:44.941058 INFO::Creating boxplot for categorical data, antibiotics vs F857
## 2024-06-26 20:29:45.454917 INFO::Creating boxplot for categorical data, antibiotics vs F509
## 2024-06-26 20:29:45.99511 INFO::Creating boxplot for categorical data, antibiotics vs F244
## 2024-06-26 20:29:46.506601 INFO::Creating boxplot for categorical data, antibiotics vs F514
## 2024-06-26 20:29:47.014828 INFO::Creating boxplot for categorical data, antibiotics vs F196
## 2024-06-26 20:29:47.557708 INFO::Creating boxplot for categorical data, antibiotics vs F304
## 2024-06-26 20:29:48.070285 INFO::Creating boxplot for categorical data, antibiotics vs F833
## 2024-06-26 20:29:48.596546 INFO::Creating boxplot for categorical data, antibiotics vs F294
## 2024-06-26 20:29:49.106597 INFO::Creating boxplot for categorical data, antibiotics vs F550
## 2024-06-26 20:29:49.61074 INFO::Creating boxplot for categorical data, antibiotics vs F869
## 2024-06-26 20:29:50.173133 INFO::Creating boxplot for categorical data, antibiotics vs F364
## 2024-06-26 20:29:50.695273 INFO::Creating boxplot for categorical data, antibiotics vs F583
## 2024-06-26 20:29:51.231044 INFO::Creating boxplot for categorical data, antibiotics vs F441
## 2024-06-26 20:29:51.768846 INFO::Creating boxplot for categorical data, antibiotics vs F595
## 2024-06-26 20:29:52.275689 INFO::Creating boxplot for categorical data, antibiotics vs F35
## 2024-06-26 20:29:53.476607 INFO::Creating boxplot for categorical data, antibiotics vs F630
## 2024-06-26 20:29:54.005087 INFO::Creating boxplot for categorical data, antibiotics vs F401
## 2024-06-26 20:29:54.501415 INFO::Creating boxplot for categorical data, antibiotics vs F287
## 2024-06-26 20:29:55.017383 INFO::Creating boxplot for categorical data, antibiotics vs F250
## 2024-06-26 20:29:55.575177 INFO::Creating boxplot for categorical data, antibiotics vs F239
## 2024-06-26 20:29:56.126005 INFO::Creating boxplot for categorical data, antibiotics vs F88
## 2024-06-26 20:29:56.627635 INFO::Creating boxplot for categorical data, antibiotics vs F752
## 2024-06-26 20:29:57.275864 INFO::Creating boxplot for categorical data, antibiotics vs F539
## 2024-06-26 20:29:57.976304 INFO::Creating boxplot for categorical data, antibiotics vs F69
## 2024-06-26 20:29:58.510666 INFO::Creating boxplot for categorical data, antibiotics vs F126
## 2024-06-26 20:29:59.055857 INFO::Creating boxplot for categorical data, antibiotics vs F362
## 2024-06-26 20:29:59.576542 INFO::Creating boxplot for categorical data, antibiotics vs F753
## 2024-06-26 20:30:00.120841 INFO::Creating boxplot for categorical data, antibiotics vs F469
## 2024-06-26 20:30:00.661646 INFO::Creating boxplot for categorical data, antibiotics vs F14
## 2024-06-26 20:30:01.197247 INFO::Creating boxplot for categorical data, antibiotics vs F803
## 2024-06-26 20:30:01.787938 INFO::Creating boxplot for categorical data, antibiotics vs F814
## 2024-06-26 20:30:02.345472 INFO::Creating boxplot for categorical data, antibiotics vs F449
## 2024-06-26 20:30:02.957804 INFO::Creating boxplot for categorical data, antibiotics vs F494
## 2024-06-26 20:30:03.511958 INFO::Creating boxplot for categorical data, antibiotics vs F439
## 2024-06-26 20:30:04.056268 INFO::Creating boxplot for categorical data, antibiotics vs F686
## 2024-06-26 20:30:04.616135 INFO::Creating boxplot for categorical data, antibiotics vs F591
## 2024-06-26 20:30:05.14009 INFO::Creating boxplot for categorical data, antibiotics vs F735
## 2024-06-26 20:30:05.677496 INFO::Creating boxplot for categorical data, antibiotics vs F111
## 2024-06-26 20:30:06.246619 INFO::Creating boxplot for categorical data, antibiotics vs F346
## 2024-06-26 20:30:06.785985 INFO::Creating boxplot for categorical data, antibiotics vs F29
## 2024-06-26 20:30:07.389278 INFO::Creating boxplot for categorical data, antibiotics vs F376
## 2024-06-26 20:30:07.94296 INFO::Creating boxplot for categorical data, antibiotics vs F414
## 2024-06-26 20:30:08.470133 INFO::Creating boxplot for categorical data, antibiotics vs F555
## 2024-06-26 20:30:09.004554 INFO::Creating boxplot for categorical data, antibiotics vs F517
## 2024-06-26 20:30:10.087226 INFO::Creating boxplot for categorical data, antibiotics vs F544
## 2024-06-26 20:30:10.882408 INFO::Creating boxplot for categorical data, antibiotics vs F339
## 2024-06-26 20:30:11.404323 INFO::Creating boxplot for categorical data, antibiotics vs F689
## 2024-06-26 20:30:12.019513 INFO::Creating boxplot for categorical data, antibiotics vs F391
## 2024-06-26 20:30:12.604771 INFO::Creating boxplot for categorical data, antibiotics vs F502
## 2024-06-26 20:30:13.149041 INFO::Creating boxplot for categorical data, antibiotics vs F298
## 2024-06-26 20:30:13.657747 INFO::Creating boxplot for categorical data, antibiotics vs F337
## 2024-06-26 20:30:14.241435 INFO::Creating boxplot for categorical data, antibiotics vs F773
## 2024-06-26 20:30:14.784261 INFO::Creating boxplot for categorical data, antibiotics vs F592
## 2024-06-26 20:30:15.308612 INFO::Creating boxplot for categorical data, antibiotics vs F307
## 2024-06-26 20:30:15.855671 INFO::Creating boxplot for categorical data, antibiotics vs F115
## 2024-06-26 20:30:16.419369 INFO::Creating boxplot for categorical data, antibiotics vs F739
## 2024-06-26 20:30:16.998512 INFO::Creating boxplot for categorical data, antibiotics vs F433
## 2024-06-26 20:30:17.565882 INFO::Creating boxplot for categorical data, antibiotics vs F384
## 2024-06-26 20:30:18.108654 INFO::Creating boxplot for categorical data, antibiotics vs F750
## 2024-06-26 20:30:18.718101 INFO::Creating boxplot for categorical data, antibiotics vs F762
## 2024-06-26 20:30:19.24649 INFO::Creating boxplot for categorical data, antibiotics vs F277
## 2024-06-26 20:30:19.779826 INFO::Creating boxplot for categorical data, antibiotics vs F871
## 2024-06-26 20:30:20.33245 INFO::Creating boxplot for categorical data, antibiotics vs F839
## 2024-06-26 20:30:20.864572 INFO::Creating boxplot for categorical data, antibiotics vs F127
## 2024-06-26 20:30:21.457452 INFO::Creating boxplot for categorical data, antibiotics vs F554
## 2024-06-26 20:30:21.990719 INFO::Creating boxplot for categorical data, antibiotics vs F676
## 2024-06-26 20:30:22.517923 INFO::Creating boxplot for categorical data, antibiotics vs F568
## 2024-06-26 20:30:23.057457 INFO::Creating boxplot for categorical data, antibiotics vs F137
## 2024-06-26 20:30:23.58527 INFO::Creating boxplot for categorical data, antibiotics vs F131
## 2024-06-26 20:30:24.186538 INFO::Creating boxplot for categorical data, antibiotics vs F60
## 2024-06-26 20:30:24.729105 INFO::Creating boxplot for categorical data, antibiotics vs F98
## 2024-06-26 20:30:25.257512 INFO::Creating boxplot for categorical data, antibiotics vs F672
## 2024-06-26 20:30:25.8064 INFO::Creating boxplot for categorical data, antibiotics vs F530
## 2024-06-26 20:30:26.3292 INFO::Creating boxplot for categorical data, antibiotics vs F809
## 2024-06-26 20:30:26.907179 INFO::Creating boxplot for categorical data, antibiotics vs F894
## 2024-06-26 20:30:27.438888 INFO::Creating boxplot for categorical data, antibiotics vs F22
## 2024-06-26 20:30:27.99288 INFO::Creating boxplot for categorical data, antibiotics vs F818
## 2024-06-26 20:30:28.530927 INFO::Creating boxplot for categorical data, antibiotics vs F559
## 2024-06-26 20:30:29.121059 INFO::Creating boxplot for categorical data, antibiotics vs F741
## 2024-06-26 20:30:29.642752 INFO::Creating boxplot for categorical data, antibiotics vs F398
## 2024-06-26 20:30:30.187253 INFO::Creating boxplot for categorical data, antibiotics vs F357
## 2024-06-26 20:30:30.743853 INFO::Creating boxplot for categorical data, antibiotics vs F119
## 2024-06-26 20:30:31.322203 INFO::Creating boxplot for categorical data, antibiotics vs F426
## 2024-06-26 20:30:32.836867 INFO::Creating boxplot for categorical data, antibiotics vs F204
## 2024-06-26 20:30:33.358471 INFO::Creating boxplot for categorical data, antibiotics vs F851
## 2024-06-26 20:30:33.864597 INFO::Creating boxplot for categorical data, antibiotics vs F657
## 2024-06-26 20:30:34.376003 INFO::Creating boxplot for categorical data, antibiotics vs F801
## 2024-06-26 20:30:34.893306 INFO::Creating boxplot for categorical data, antibiotics vs F754
## 2024-06-26 20:30:35.461157 INFO::Creating boxplot for categorical data, antibiotics vs F859
## 2024-06-26 20:30:35.9895 INFO::Creating boxplot for categorical data, antibiotics vs F480
## 2024-06-26 20:30:36.560629 INFO::Creating boxplot for categorical data, antibiotics vs F507
## 2024-06-26 20:30:37.110102 INFO::Creating boxplot for categorical data, antibiotics vs F207
## 2024-06-26 20:30:42.956401 INFO::Plotting data for metadata number 3, age
## 2024-06-26 20:30:42.963106 INFO::Creating scatter plot for continuous data, age vs F340
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:30:43.696739 INFO::Creating scatter plot for continuous data, age vs F603
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:30:44.574087 INFO::Creating scatter plot for continuous data, age vs F356
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:30:45.314852 INFO::Creating scatter plot for continuous data, age vs F181
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:30:45.929841 INFO::Creating scatter plot for continuous data, age vs F177
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:30:46.611059 INFO::Creating scatter plot for continuous data, age vs F390
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:30:47.329741 INFO::Creating scatter plot for continuous data, age vs F743
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:30:47.982017 INFO::Creating scatter plot for continuous data, age vs F491
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:30:48.697264 INFO::Creating scatter plot for continuous data, age vs F436
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:30:49.33392 INFO::Creating scatter plot for continuous data, age vs F219
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:30:49.924925 INFO::Creating scatter plot for continuous data, age vs F483
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:30:50.653207 INFO::Creating scatter plot for continuous data, age vs F878
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:30:51.326625 INFO::Creating scatter plot for continuous data, age vs F876
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:30:51.958691 INFO::Creating scatter plot for continuous data, age vs F211
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:30:52.530869 INFO::Creating scatter plot for continuous data, age vs F732
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:30:53.188569 INFO::Creating scatter plot for continuous data, age vs F222
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:30:53.805835 INFO::Creating scatter plot for continuous data, age vs F688
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:30:54.429417 INFO::Creating scatter plot for continuous data, age vs F170
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:30:55.033408 INFO::Creating scatter plot for continuous data, age vs F431
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:30:55.61731 INFO::Creating scatter plot for continuous data, age vs F174
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:30:56.224316 INFO::Creating scatter plot for continuous data, age vs F17
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:30:56.805828 INFO::Creating scatter plot for continuous data, age vs F334
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:30:57.413583 INFO::Creating scatter plot for continuous data, age vs F835
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:30:57.959848 INFO::Creating scatter plot for continuous data, age vs F223
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:30:58.625984 INFO::Creating scatter plot for continuous data, age vs F383
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:30:59.178783 INFO::Creating scatter plot for continuous data, age vs F623
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:30:59.74561 INFO::Creating scatter plot for continuous data, age vs F329
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:00.318706 INFO::Creating scatter plot for continuous data, age vs F395
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:00.904186 INFO::Creating scatter plot for continuous data, age vs F528
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:01.450703 INFO::Creating scatter plot for continuous data, age vs F13
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:02.053708 INFO::Creating scatter plot for continuous data, age vs F36
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:02.645094 INFO::Creating scatter plot for continuous data, age vs F285
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:03.210039 INFO::Creating scatter plot for continuous data, age vs F404
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:03.732927 INFO::Creating scatter plot for continuous data, age vs F894
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:04.26711 INFO::Creating scatter plot for continuous data, age vs F300
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:04.814376 INFO::Creating scatter plot for continuous data, age vs F32
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:05.351231 INFO::Creating scatter plot for continuous data, age vs F24
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:05.928732 INFO::Creating scatter plot for continuous data, age vs F97
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:06.432596 INFO::Creating scatter plot for continuous data, age vs F849
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:06.946549 INFO::Creating scatter plot for continuous data, age vs F185
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:07.547625 INFO::Creating scatter plot for continuous data, age vs F513
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:08.111475 INFO::Creating scatter plot for continuous data, age vs F296
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:08.668007 INFO::Creating scatter plot for continuous data, age vs F471
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:09.240323 INFO::Creating scatter plot for continuous data, age vs F793
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:09.811029 INFO::Creating scatter plot for continuous data, age vs F402
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:10.379451 INFO::Creating scatter plot for continuous data, age vs F541
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:10.968187 INFO::Creating scatter plot for continuous data, age vs F496
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:11.474257 INFO::Creating scatter plot for continuous data, age vs F386
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:11.979679 INFO::Creating scatter plot for continuous data, age vs F594
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:12.522987 INFO::Creating scatter plot for continuous data, age vs F704
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:13.046043 INFO::Creating scatter plot for continuous data, age vs F330
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:13.682854 INFO::Creating scatter plot for continuous data, age vs F197
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:14.344109 INFO::Creating scatter plot for continuous data, age vs F735
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:14.907002 INFO::Creating scatter plot for continuous data, age vs F481
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:15.413654 INFO::Creating scatter plot for continuous data, age vs F635
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:15.984082 INFO::Creating scatter plot for continuous data, age vs F687
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:16.53979 INFO::Creating scatter plot for continuous data, age vs F652
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:17.082777 INFO::Creating scatter plot for continuous data, age vs F651
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:17.725093 INFO::Creating scatter plot for continuous data, age vs F82
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:18.28495 INFO::Creating scatter plot for continuous data, age vs F7
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:18.823217 INFO::Creating scatter plot for continuous data, age vs F866
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:19.340506 INFO::Creating scatter plot for continuous data, age vs F593
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:19.851143 INFO::Creating scatter plot for continuous data, age vs F733
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:20.364007 INFO::Creating scatter plot for continuous data, age vs F684
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:20.922282 INFO::Creating scatter plot for continuous data, age vs F410
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:21.423776 INFO::Creating scatter plot for continuous data, age vs F224
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:22.009956 INFO::Creating scatter plot for continuous data, age vs F722
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:22.627907 INFO::Creating scatter plot for continuous data, age vs F856
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:23.162191 INFO::Creating scatter plot for continuous data, age vs F680
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:23.683159 INFO::Creating scatter plot for continuous data, age vs F19
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:24.223204 INFO::Creating scatter plot for continuous data, age vs F860
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:24.720069 INFO::Creating scatter plot for continuous data, age vs F859
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:25.267765 INFO::Creating scatter plot for continuous data, age vs F522
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:25.818497 INFO::Creating scatter plot for continuous data, age vs F372
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:26.344757 INFO::Creating scatter plot for continuous data, age vs F899
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:26.846655 INFO::Creating scatter plot for continuous data, age vs F782
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:27.394531 INFO::Creating scatter plot for continuous data, age vs F839
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:28.062894 INFO::Creating scatter plot for continuous data, age vs F827
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:28.605506 INFO::Creating scatter plot for continuous data, age vs F817
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:29.177399 INFO::Creating scatter plot for continuous data, age vs F345
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:29.675947 INFO::Creating scatter plot for continuous data, age vs F127
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:30.243795 INFO::Creating scatter plot for continuous data, age vs F749
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:30.835525 INFO::Creating scatter plot for continuous data, age vs F877
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:31.400009 INFO::Creating scatter plot for continuous data, age vs F150
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:31.928583 INFO::Creating scatter plot for continuous data, age vs F752
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:32.438219 INFO::Creating scatter plot for continuous data, age vs F848
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:32.969206 INFO::Creating scatter plot for continuous data, age vs F809
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:33.506223 INFO::Creating scatter plot for continuous data, age vs F751
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:33.996936 INFO::Creating scatter plot for continuous data, age vs F15
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:34.48859 INFO::Creating scatter plot for continuous data, age vs F521
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:35.01168 INFO::Creating scatter plot for continuous data, age vs F842
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:35.577814 INFO::Creating scatter plot for continuous data, age vs F319
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:36.124318 INFO::Creating scatter plot for continuous data, age vs F96
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:36.667099 INFO::Creating scatter plot for continuous data, age vs F171
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:37.214646 INFO::Creating scatter plot for continuous data, age vs F241
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:37.741733 INFO::Creating scatter plot for continuous data, age vs F582
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:38.229318 INFO::Creating scatter plot for continuous data, age vs F822
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:38.724523 INFO::Creating scatter plot for continuous data, age vs F748
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:39.227355 INFO::Creating scatter plot for continuous data, age vs F147
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:39.781132 INFO::Creating scatter plot for continuous data, age vs F16
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:40.244498 INFO::Creating scatter plot for continuous data, age vs F212
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:40.782147 INFO::Creating scatter plot for continuous data, age vs F718
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:41.316189 INFO::Creating scatter plot for continuous data, age vs F663
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:41.827431 INFO::Creating scatter plot for continuous data, age vs F690
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:42.408402 INFO::Creating scatter plot for continuous data, age vs F865
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:42.913246 INFO::Creating scatter plot for continuous data, age vs F421
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:43.463411 INFO::Creating scatter plot for continuous data, age vs F110
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:44.034916 INFO::Creating scatter plot for continuous data, age vs F857
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:44.623553 INFO::Creating scatter plot for continuous data, age vs F84
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:45.193179 INFO::Creating scatter plot for continuous data, age vs F123
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:45.677352 INFO::Creating scatter plot for continuous data, age vs F566
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:46.155402 INFO::Creating scatter plot for continuous data, age vs F370
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:46.635023 INFO::Creating scatter plot for continuous data, age vs F65
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:47.152596 INFO::Creating scatter plot for continuous data, age vs F119
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:47.645152 INFO::Creating scatter plot for continuous data, age vs F263
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:48.123555 INFO::Creating scatter plot for continuous data, age vs F630
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:48.666296 INFO::Creating scatter plot for continuous data, age vs F628
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:49.17657 INFO::Creating scatter plot for continuous data, age vs F711
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:49.728947 INFO::Creating scatter plot for continuous data, age vs F152
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:50.244128 INFO::Creating scatter plot for continuous data, age vs F324
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:50.819909 INFO::Creating scatter plot for continuous data, age vs F575
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:51.319905 INFO::Creating scatter plot for continuous data, age vs F699
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:51.878534 INFO::Creating scatter plot for continuous data, age vs F846
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:52.418702 INFO::Creating scatter plot for continuous data, age vs F380
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:52.950097 INFO::Creating scatter plot for continuous data, age vs F172
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:53.498208 INFO::Creating scatter plot for continuous data, age vs F504
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:54.004176 INFO::Creating scatter plot for continuous data, age vs F34
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:54.488156 INFO::Creating scatter plot for continuous data, age vs F199
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:55.021657 INFO::Creating scatter plot for continuous data, age vs F198
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:55.554316 INFO::Creating scatter plot for continuous data, age vs F479
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:56.097767 INFO::Creating scatter plot for continuous data, age vs F673
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:56.649284 INFO::Creating scatter plot for continuous data, age vs F508
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:57.152536 INFO::Creating scatter plot for continuous data, age vs F337
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:57.709802 INFO::Creating scatter plot for continuous data, age vs F737
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:58.252923 INFO::Creating scatter plot for continuous data, age vs F609
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:58.82777 INFO::Creating scatter plot for continuous data, age vs F40
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:31:59.32585 INFO::Creating scatter plot for continuous data, age vs F821
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:31:59.871412 INFO::Creating scatter plot for continuous data, age vs F643
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:32:00.375383 INFO::Creating scatter plot for continuous data, age vs F759
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:32:00.92383 INFO::Creating scatter plot for continuous data, age vs F417
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:32:01.472181 INFO::Creating scatter plot for continuous data, age vs F58
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:32:01.999258 INFO::Creating scatter plot for continuous data, age vs F267
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:32:02.539016 INFO::Creating scatter plot for continuous data, age vs F101
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:32:03.02943 INFO::Creating scatter plot for continuous data, age vs F890
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:32:03.6303 INFO::Creating scatter plot for continuous data, age vs F655
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:32:04.166755 INFO::Creating scatter plot for continuous data, age vs F95
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:32:04.654751 INFO::Creating scatter plot for continuous data, age vs F775
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:32:05.184163 INFO::Creating scatter plot for continuous data, age vs F93
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:32:05.752744 INFO::Creating scatter plot for continuous data, age vs F353
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:32:06.229564 INFO::Creating scatter plot for continuous data, age vs F480
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:32:06.766593 INFO::Creating scatter plot for continuous data, age vs F567
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:32:07.326314 INFO::Creating scatter plot for continuous data, age vs F871
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:32:07.896682 INFO::Creating scatter plot for continuous data, age vs F295
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:32:08.396204 INFO::Creating scatter plot for continuous data, age vs F459
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:32:08.935729 INFO::Creating scatter plot for continuous data, age vs F812
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:32:09.478963 INFO::Creating scatter plot for continuous data, age vs F146
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:32:09.97172 INFO::Creating scatter plot for continuous data, age vs F239
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:32:10.520615 INFO::Creating scatter plot for continuous data, age vs F754
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:32:11.044421 INFO::Creating scatter plot for continuous data, age vs F443
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:32:11.539105 INFO::Creating scatter plot for continuous data, age vs F5
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:32:12.071903 INFO::Creating scatter plot for continuous data, age vs F864
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-26 20:32:12.591581 INFO::Creating scatter plot for continuous data, age vs F477
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:32:13.117715 INFO::Creating scatter plot for continuous data, age vs F571
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-26 20:32:13.655776 INFO::Creating scatter plot for continuous data, age vs F715
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).
## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## Initiating effect size calculations
## 
## Calculating mean abundance in: IBD
## 
## Calculating mean abundance in: Control
## 
## Calculating effect size in: IBD
## 
## Initiating prioritization
## 
## Calculating meta-rank and prioritizing metabolic features
## 2024-06-26 20:32:19.573486 INFO::Writing all prioritized metabolites to file: Macarron_output/prioritized_metabolites_all.csv
## 2024-06-26 20:32:19.644867 INFO::Writing characterizable prioritized metabolites to file: Macarron_output/prioritized_metabolites_characterizable.csv
## 2024-06-26 20:32:19.708179 INFO::Writing highly prioritized metabolites in IBD to file: Macarron_output/highly_prioritized_per_module_in_IBD.csv

3.3.2 Using dataframes as inputs

abundances_df = read.csv(file = prism_abundances, row.names = 1) # setting features as rownames
annotations_df = read.csv(file = prism_annotations, row.names = 1) # setting features as rownames
metadata_df = read.csv(file = prism_metadata, row.names = 1) # setting samples as rownames 
taxonomy_df = read.csv(file = mets_taxonomy)

# Running Macarron
prism_prioritized <- Macarron::Macarron(input_abundances = abundances_df,
                                        input_annotations = annotations_df,
                                        input_metadata = metadata_df,
                                        input_taxonomy = taxonomy_df)

3.3.3 Running Macarron as individual functions

The Macarron::Macarron() function is a wrapper for the Macarron framework. Users can also apply individual functions on the input dataframes to achieve same results as the wrapper with the added benefit of storing output from each function for other analyses. There are seven steps:

# Step 1: Storing input data in a summarized experiment object
prism_mbx <- prepInput(input_abundances = abundances_df,
                       input_annotations = annotations_df,
                       input_metadata = metadata_df)

# Step 2: Creating a distance matrix from pairwise correlations in abundances of metabolic features
prism_w <- makeDisMat(se = prism_mbx)

# Step 3: Finding covariance modules
prism_modules <- findMacMod(se = prism_mbx,
                            w = prism_w,
                            input_taxonomy = taxonomy_df)
# The output is a list containing two dataframes- module assignments and measures of success
# if evaluateMOS=TRUE. To write modules to a separate dataframe, do:
prism_module_assignments <- prism_modules[[1]]
prism_modules_mos <- prism_modules[[2]]

# Step 4: Calculating AVA
prism_ava <- calAVA(se = prism_mbx,
                    mod.assn = prism_modules)

# Step 5: Calculating q-value
prism_qval <- calQval(se = prism_mbx,
                      mod.assn = prism_modules)

# Step 6: Calculating effect size
prism_es <- calES(se = prism_mbx,
                   mac.qval = prism_qval)

# Step 7: Prioritizing metabolic features
prism_prioritized <- prioritize(se = prism_mbx,
                                mod.assn = prism_modules,
                                mac.ava = prism_ava,
                                mac.qval = prism_qval,
                                mac.es = prism_es)
# The output is a list containing two dataframes- all prioritized metabolic features and
# only characterizable metabolic features.
all_prioritized <- prism_prioritized[[1]]
char_prioritized <- prism_prioritized[[2]]

# Step 8 (optional): View only the highly prioritized metabolic features in each module
prism_highly_prioritized <- showBest(prism_prioritized)

Session info from running the demo in R can be displayed with the following command.

sessionInfo()
## R version 4.4.0 (2024-04-24)
## Platform: x86_64-apple-darwin20
## Running under: macOS Monterey 12.7.4
## 
## Matrix products: default
## BLAS:   /Library/Frameworks/R.framework/Versions/4.4-x86_64/Resources/lib/libRblas.0.dylib 
## LAPACK: /Library/Frameworks/R.framework/Versions/4.4-x86_64/Resources/lib/libRlapack.dylib;  LAPACK version 3.12.0
## 
## locale:
## [1] C/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
## 
## time zone: America/New_York
## tzcode source: internal
## 
## attached base packages:
## [1] stats4    stats     graphics  grDevices utils     datasets  methods  
## [8] base     
## 
## other attached packages:
##  [1] Macarron_1.8.1              SummarizedExperiment_1.34.0
##  [3] Biobase_2.64.0              GenomicRanges_1.56.1       
##  [5] GenomeInfoDb_1.40.1         IRanges_2.38.0             
##  [7] S4Vectors_0.42.0            BiocGenerics_0.50.0        
##  [9] MatrixGenerics_1.16.0       matrixStats_1.3.0          
## [11] BiocStyle_2.32.1           
## 
## loaded via a namespace (and not attached):
##   [1] mnormt_2.1.1            DBI_1.2.3               pbapply_1.7-2          
##   [4] gridExtra_2.3           rlang_1.1.4             magrittr_2.0.3         
##   [7] compiler_4.4.0          RSQLite_2.3.7           mgcv_1.9-1             
##  [10] png_0.1-8               vctrs_0.6.5             stringr_1.5.1          
##  [13] pkgconfig_2.0.3         crayon_1.5.3            fastmap_1.2.0          
##  [16] backports_1.5.0         XVector_0.44.0          labeling_0.4.3         
##  [19] utf8_1.2.4              rmarkdown_2.27          preprocessCore_1.66.0  
##  [22] UCSC.utils_1.0.0        bit_4.0.5               xfun_0.45              
##  [25] zlibbioc_1.50.0         cachem_1.1.0            jsonlite_1.8.8         
##  [28] blob_1.2.4              DelayedArray_0.30.1     BiocParallel_1.38.0    
##  [31] psych_2.4.3             Maaslin2_1.18.0         parallel_4.4.0         
##  [34] cluster_2.1.6           biglm_0.9-3             R6_2.5.1               
##  [37] RColorBrewer_1.1-3      stringi_1.8.4           bslib_0.7.0            
##  [40] rpart_4.1.23            jquerylib_0.1.4         Rcpp_1.0.12            
##  [43] bookdown_0.39           iterators_1.0.14        knitr_1.47             
##  [46] WGCNA_1.72-5            base64enc_0.1-3         Matrix_1.7-0           
##  [49] splines_4.4.0           nnet_7.3-19             tidyselect_1.2.1       
##  [52] rstudioapi_0.16.0       abind_1.4-5             yaml_2.3.8             
##  [55] doParallel_1.0.17       codetools_0.2-20        plyr_1.8.9             
##  [58] lattice_0.22-6          tibble_3.2.1            withr_3.0.0            
##  [61] KEGGREST_1.44.1         evaluate_0.24.0         foreign_0.8-87         
##  [64] survival_3.7-0          getopt_1.20.4           Biostrings_2.72.1      
##  [67] pillar_1.9.0            BiocManager_1.30.23     checkmate_2.3.1        
##  [70] foreach_1.5.2           pcaPP_2.0-4             generics_0.1.3         
##  [73] ggplot2_3.5.1           munsell_0.5.1           scales_1.3.0           
##  [76] glue_1.7.0              Hmisc_5.1-3             tools_4.4.0            
##  [79] robustbase_0.99-2       data.table_1.15.4       mvtnorm_1.2-5          
##  [82] fastcluster_1.2.6       grid_4.4.0              optparse_1.7.5         
##  [85] impute_1.78.0           AnnotationDbi_1.66.0    colorspace_2.1-0       
##  [88] nlme_3.1-165            GenomeInfoDbData_1.2.12 htmlTable_2.4.2        
##  [91] Formula_1.2-5           cli_3.6.3               fansi_1.0.6            
##  [94] S4Arrays_1.4.1          dplyr_1.1.4             DEoptimR_1.1-3         
##  [97] gtable_0.3.5            hash_2.2.6.3            logging_0.10-108       
## [100] dynamicTreeCut_1.63-1   sass_0.4.9              digest_0.6.36          
## [103] SparseArray_1.4.8       farver_2.1.2            htmlwidgets_1.6.4      
## [106] memoise_2.0.1           htmltools_0.5.8.1       lifecycle_1.0.4        
## [109] httr_1.4.7              GO.db_3.19.1            bit64_4.0.5

3.4 Advanced Topics

3.4.1 Generating the input chemical taxonomy file

The input taxonomy dataframe can be generated using the input metabolic features annotation dataframe using Macarron::decorateID(). This function annotates an HMDB ID or a PubChem CID with the chemical class and subclass of the metabolite.

taxonomy_df <- decorateID(input_annotations = annotations_df)
write.csv(taxonomy_df, file="demo_taxonomy.csv", row.names = FALSE)

3.4.2 Accessory output files

3.4.2.1 Macarron.log

A record of all chosen parameters and steps that were followed during execution.

3.4.2.2 modules_measures_of_success.csv

This file provides information about the properties of covariance modules used in the analysis. By default, modules are generated using a minimum module size (MMS) (argument: min_module_size) equal to cube root of the total number of prevalent metabolic features. Macarron evaluates 9 measures of success (MOS) that collectively capture the “correctness” and chemical homogeneity of the modules. The MOS are as follows:

  • Total modules: Number of modules.
  • Singletons: Number of metabolic features that were not assigned to any module at MMS.
  • % Annotated modules: Percentage of modules that contained at least one annotated metabolic feature.
  • % Consistent assignments: Percentage of times the same metabolic feature was assigned to the same module e.g. if three metabolic features represent glucose, they should all be in the same module. This percentage must be high.
  • Max classes per module: The highest number of chemical classes observed in any module. This is evaluated using the chemical taxonomy of covarying annotated features.
  • 90p classes per module: 90th percentile of classes per module; captures the chemical homogeneity of the modules.
  • Max subclasses per module: The highest number of chemical subclasses observed in any module.
  • 90p subclasses per module: 90th percentile of subclasses per module; captures the chemical homogeneity of the modules.
  • % Features in HAM: Macarron first finds homogeneously annoted modules (HAMs): These are modules in which >75% annotated features have the same chemical class indicating that they are chemically homogeneous. It then calculates how many features the HAMs account for.

3.4.2.3 Maaslin2 results

This folder contains the Maaslin2 log file (maaslin2.log), significant associations found by Maaslin2 (significant_results.tsv) and the linear model residuals file (residuals.rds). For more information, see Maaslin2.

3.4.3 Changing defaults

3.4.3.1 Filtering metabolic features based on prevalence

Ideally, at least 50% metabolic features must be retained after prevalence filtering. By default, Macarron uses the union of metabolic features observed (non-zero abundance) in at least 70% samples of any phenotype for further analysis. This prevalence threshold may be high for some metabolomics datasets and can be changed using the min_prevalence argument.

prism_prioritized <- Macarron::Macarron(input_abundances = abundances_df,
                                        input_annotations = annotations_df,
                                        input_metadata = metadata_df,
                                        input_taxonomy = taxonomy_df,
                                        min_prevalence = 0.5)
# or
prism_w <- makeDisMat(se = prism_mbx,
                      min_prevalence = 0.5)

3.4.4 Minimum module size

By default, cube root of the total number of prevalent features is used as the minimum module size (MMS) (argument: min_module_size) for module detection and generation. We expect this to work for most real world datasets. To determine if the modules are optimal for further analysis, Macarron evaluates several measures of success (MOS) as described above. In addition to evaluating MOS for modules generated using the default MMS, Macarron also evaluates MOS for MMS values that are larger (MMS+5, MMS+10) and smaller (MMS-5, MMS-10) than the default MMS. If you find that the MOS improve with larger or smaller MMS, you may change the default accordingly. For more details about module detection, please see WGCNA and dynamicTreeCut.

# See MOS of modules generated using default
prism_modules <- findMacMod(se = prism_mbx,
                            w = prism_w,
                            input_taxonomy = taxonomy_df)
prism_modules_mos <- prism_modules[[2]]
View(prism_modules_mos)

# Change MMS
prism_modules <- findMacMod(se = prism_mbx,
                            w = prism_w,
                            input_taxonomy = taxonomy_df,
                            min_module_size = 10)

3.4.5 Specifying fixed effects, random effects and reference

Macarron uses Maaslin2 for determining the q-value of differential abundance in a phenotype of interest. For default execution, the phenotype of interest must be a category in column 1 of the metadata dataframe e.g. IBD in diagnosis in the demo. This is also the column that is picked by the metadata_variable argument for identifying the main phenotypes/conditions in any dataset (see Macarron.log file). Further, in the default execution, all columns in the metadata table are considered as fixed effects and the alphabetically first categorical variable in each covariate with two categories is considered as the reference. Maaslin2 requires reference categories to be explicitly defined for all categorical metadata with more than two categories. Defaults can be changed with the arguments fixed_effects, random_effects and reference. In the demo example, fixed effects and reference can be defined as follows:

prism_qval <- calQval(se = prism_mbx,
                      mod.assn = prism_modules,
                      metadata_variable = "diagnosis",
                      fixed_effects = c("diagnosis","age","antibiotics"),
                      reference = c("diagnosis,Control";"antibiotics,No"))

4 Command line invocation

The package source contains a script MacarronCMD.R in inst/scripts to invoke Macarron in the command line using Rscript. The inst/scripts folder also contains a README file that comprehensively documents the usage of the script.