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'
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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)
## 2024-06-27 02:27:34.462009 INFO::Creating output folder.
## 2024-06-27 02:27:34.477675 INFO::Writing function arguments to log file
## Samples with both abundances and metadata: 102
## 2024-06-27 02:27:34.542035 INFO::Summarized Experiment created.
## 2024-06-27 02:27:34.543993 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.
## 2024-06-27 02:27:40.670303 INFO::Distance matrix with 869 metabolic features created.
## Initiating module detection
## 2024-06-27 02:27:40.672293 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.
## 2024-06-27 02:27:43.079037 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"
## 2024-06-27 02:27:45.073886 INFO::Writing function arguments to log file
## 2024-06-27 02:27:45.080581 INFO::Verifying options selected are valid
## 2024-06-27 02:27:45.137576 INFO::Determining format of input files
## 2024-06-27 02:27:45.13915 INFO::Input format is data samples as columns and metadata samples as rows
## 2024-06-27 02:27:45.158435 INFO::Formula for fixed effects: expr ~  diagnosis + age + antibiotics
## 2024-06-27 02:27:45.160564 INFO::Filter data based on min abundance and min prevalence
## 2024-06-27 02:27:45.161419 INFO::Total samples in data: 102
## 2024-06-27 02:27:45.162127 INFO::Min samples required with min abundance for a feature not to be filtered: 0.000000
## 2024-06-27 02:27:45.175268 INFO::Total filtered features: 0
## 2024-06-27 02:27:45.176568 INFO::Filtered feature names from abundance and prevalence filtering:
## 2024-06-27 02:27:45.196811 INFO::Total filtered features with variance filtering: 0
## 2024-06-27 02:27:45.198117 INFO::Filtered feature names from variance filtering:
## 2024-06-27 02:27:45.198837 INFO::Running selected normalization method: NONE
## 2024-06-27 02:27:45.199646 INFO::Applying z-score to standardize continuous metadata
## 2024-06-27 02:27:45.231747 INFO::Running selected transform method: NONE
## 2024-06-27 02:27:45.233229 INFO::Running selected analysis method: LM
## 2024-06-27 02:27:45.240784 INFO::Fitting model to feature number 1, F1
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## 2024-06-27 02:27:45.87733 INFO::Fitting model to feature number 160, F166
## 2024-06-27 02:27:45.881259 INFO::Fitting model to feature number 161, F167
## 2024-06-27 02:27:45.885066 INFO::Fitting model to feature number 162, F168
## 2024-06-27 02:27:45.888884 INFO::Fitting model to feature number 163, F169
## 2024-06-27 02:27:45.892768 INFO::Fitting model to feature number 164, F170
## 2024-06-27 02:27:45.896637 INFO::Fitting model to feature number 165, F171
## 2024-06-27 02:27:45.900451 INFO::Fitting model to feature number 166, F172
## 2024-06-27 02:27:45.904344 INFO::Fitting model to feature number 167, F173
## 2024-06-27 02:27:45.908137 INFO::Fitting model to feature number 168, F174
## 2024-06-27 02:27:45.911961 INFO::Fitting model to feature number 169, F175
## 2024-06-27 02:27:45.915811 INFO::Fitting model to feature number 170, F176
## 2024-06-27 02:27:45.919688 INFO::Fitting model to feature number 171, F177
## 2024-06-27 02:27:45.923724 INFO::Fitting model to feature number 172, F178
## 2024-06-27 02:27:45.927572 INFO::Fitting model to feature number 173, F179
## 2024-06-27 02:27:45.93138 INFO::Fitting model to feature number 174, F180
## 2024-06-27 02:27:45.935197 INFO::Fitting model to feature number 175, F181
## 2024-06-27 02:27:45.938983 INFO::Fitting model to feature number 176, F182
## 2024-06-27 02:27:45.942861 INFO::Fitting model to feature number 177, F183
## 2024-06-27 02:27:45.946657 INFO::Fitting model to feature number 178, F184
## 2024-06-27 02:27:45.950543 INFO::Fitting model to feature number 179, F185
## 2024-06-27 02:27:45.954392 INFO::Fitting model to feature number 180, F186
## 2024-06-27 02:27:45.958255 INFO::Fitting model to feature number 181, F187
## 2024-06-27 02:27:45.962036 INFO::Fitting model to feature number 182, F188
## 2024-06-27 02:27:45.965841 INFO::Fitting model to feature number 183, F189
## 2024-06-27 02:27:45.969659 INFO::Fitting model to feature number 184, F190
## 2024-06-27 02:27:45.973529 INFO::Fitting model to feature number 185, F191
## 2024-06-27 02:27:45.977495 INFO::Fitting model to feature number 186, F192
## 2024-06-27 02:27:45.981394 INFO::Fitting model to feature number 187, F193
## 2024-06-27 02:27:45.985262 INFO::Fitting model to feature number 188, F194
## 2024-06-27 02:27:45.98919 INFO::Fitting model to feature number 189, F195
## 2024-06-27 02:27:45.993006 INFO::Fitting model to feature number 190, F196
## 2024-06-27 02:27:45.996811 INFO::Fitting model to feature number 191, F197
## 2024-06-27 02:27:46.000675 INFO::Fitting model to feature number 192, F198
## 2024-06-27 02:27:46.004777 INFO::Fitting model to feature number 193, F199
## 2024-06-27 02:27:46.008704 INFO::Fitting model to feature number 194, F200
## 2024-06-27 02:27:46.012509 INFO::Fitting model to feature number 195, F201
## 2024-06-27 02:27:46.016343 INFO::Fitting model to feature number 196, F202
## 2024-06-27 02:27:46.020233 INFO::Fitting model to feature number 197, F203
## 2024-06-27 02:27:46.024079 INFO::Fitting model to feature number 198, F204
## 2024-06-27 02:27:46.028128 INFO::Fitting model to feature number 199, F206
## 2024-06-27 02:27:46.032029 INFO::Fitting model to feature number 200, F207
## 2024-06-27 02:27:46.035875 INFO::Fitting model to feature number 201, F208
## 2024-06-27 02:27:46.039798 INFO::Fitting model to feature number 202, F209
## 2024-06-27 02:27:46.043742 INFO::Fitting model to feature number 203, F210
## 2024-06-27 02:27:46.047603 INFO::Fitting model to feature number 204, F211
## 2024-06-27 02:27:46.051502 INFO::Fitting model to feature number 205, F212
## 2024-06-27 02:27:46.055636 INFO::Fitting model to feature number 206, F213
## 2024-06-27 02:27:46.059815 INFO::Fitting model to feature number 207, F214
## 2024-06-27 02:27:46.063976 INFO::Fitting model to feature number 208, F215
## 2024-06-27 02:27:46.06832 INFO::Fitting model to feature number 209, F216
## 2024-06-27 02:27:46.072445 INFO::Fitting model to feature number 210, F217
## 2024-06-27 02:27:46.076401 INFO::Fitting model to feature number 211, F218
## 2024-06-27 02:27:46.080357 INFO::Fitting model to feature number 212, F219
## 2024-06-27 02:27:46.08439 INFO::Fitting model to feature number 213, F220
## 2024-06-27 02:27:46.088521 INFO::Fitting model to feature number 214, F221
## 2024-06-27 02:27:46.092613 INFO::Fitting model to feature number 215, F222
## 2024-06-27 02:27:46.096487 INFO::Fitting model to feature number 216, F223
## 2024-06-27 02:27:46.100424 INFO::Fitting model to feature number 217, F224
## 2024-06-27 02:27:46.104391 INFO::Fitting model to feature number 218, F225
## 2024-06-27 02:27:46.108281 INFO::Fitting model to feature number 219, F226
## 2024-06-27 02:27:46.112155 INFO::Fitting model to feature number 220, F227
## 2024-06-27 02:27:46.116126 INFO::Fitting model to feature number 221, F228
## 2024-06-27 02:27:46.170725 INFO::Fitting model to feature number 222, F229
## 2024-06-27 02:27:46.176054 INFO::Fitting model to feature number 223, F230
## 2024-06-27 02:27:46.181304 INFO::Fitting model to feature number 224, F231
## 2024-06-27 02:27:46.186426 INFO::Fitting model to feature number 225, F232
## 2024-06-27 02:27:46.191773 INFO::Fitting model to feature number 226, F233
## 2024-06-27 02:27:46.196397 INFO::Fitting model to feature number 227, F234
## 2024-06-27 02:27:46.200567 INFO::Fitting model to feature number 228, F235
## 2024-06-27 02:27:46.204728 INFO::Fitting model to feature number 229, F236
## 2024-06-27 02:27:46.208782 INFO::Fitting model to feature number 230, F237
## 2024-06-27 02:27:46.212905 INFO::Fitting model to feature number 231, F238
## 2024-06-27 02:27:46.21707 INFO::Fitting model to feature number 232, F239
## 2024-06-27 02:27:46.221423 INFO::Fitting model to feature number 233, F240
## 2024-06-27 02:27:46.225505 INFO::Fitting model to feature number 234, F241
## 2024-06-27 02:27:46.229563 INFO::Fitting model to feature number 235, F242
## 2024-06-27 02:27:46.233693 INFO::Fitting model to feature number 236, F243
## 2024-06-27 02:27:46.237917 INFO::Fitting model to feature number 237, F244
## 2024-06-27 02:27:46.242235 INFO::Fitting model to feature number 238, F245
## 2024-06-27 02:27:46.24636 INFO::Fitting model to feature number 239, F246
## 2024-06-27 02:27:46.25048 INFO::Fitting model to feature number 240, F247
## 2024-06-27 02:27:46.254657 INFO::Fitting model to feature number 241, F248
## 2024-06-27 02:27:46.25879 INFO::Fitting model to feature number 242, F249
## 2024-06-27 02:27:46.262962 INFO::Fitting model to feature number 243, F250
## 2024-06-27 02:27:46.267002 INFO::Fitting model to feature number 244, F252
## 2024-06-27 02:27:46.271099 INFO::Fitting model to feature number 245, F253
## 2024-06-27 02:27:46.275161 INFO::Fitting model to feature number 246, F254
## 2024-06-27 02:27:46.279382 INFO::Fitting model to feature number 247, F255
## 2024-06-27 02:27:46.283492 INFO::Fitting model to feature number 248, F256
## 2024-06-27 02:27:46.287639 INFO::Fitting model to feature number 249, F257
## 2024-06-27 02:27:46.291764 INFO::Fitting model to feature number 250, F259
## 2024-06-27 02:27:46.295681 INFO::Fitting model to feature number 251, F260
## 2024-06-27 02:27:46.299615 INFO::Fitting model to feature number 252, F261
## 2024-06-27 02:27:46.30358 INFO::Fitting model to feature number 253, F262
## 2024-06-27 02:27:46.307488 INFO::Fitting model to feature number 254, F263
## 2024-06-27 02:27:46.31139 INFO::Fitting model to feature number 255, F264
## 2024-06-27 02:27:46.315189 INFO::Fitting model to feature number 256, F265
## 2024-06-27 02:27:46.31901 INFO::Fitting model to feature number 257, F266
## 2024-06-27 02:27:46.322997 INFO::Fitting model to feature number 258, F267
## 2024-06-27 02:27:46.326901 INFO::Fitting model to feature number 259, F269
## 2024-06-27 02:27:46.33087 INFO::Fitting model to feature number 260, F270
## 2024-06-27 02:27:46.334997 INFO::Fitting model to feature number 261, F271
## 2024-06-27 02:27:46.339185 INFO::Fitting model to feature number 262, F272
## 2024-06-27 02:27:46.343186 INFO::Fitting model to feature number 263, F273
## 2024-06-27 02:27:46.347144 INFO::Fitting model to feature number 264, F274
## 2024-06-27 02:27:46.351157 INFO::Fitting model to feature number 265, F276
## 2024-06-27 02:27:46.355167 INFO::Fitting model to feature number 266, F277
## 2024-06-27 02:27:46.359186 INFO::Fitting model to feature number 267, F278
## 2024-06-27 02:27:46.363245 INFO::Fitting model to feature number 268, F279
## 2024-06-27 02:27:46.367216 INFO::Fitting model to feature number 269, F280
## 2024-06-27 02:27:46.37129 INFO::Fitting model to feature number 270, F281
## 2024-06-27 02:27:46.375298 INFO::Fitting model to feature number 271, F282
## 2024-06-27 02:27:46.379272 INFO::Fitting model to feature number 272, F283
## 2024-06-27 02:27:46.383192 INFO::Fitting model to feature number 273, F284
## 2024-06-27 02:27:46.387197 INFO::Fitting model to feature number 274, F285
## 2024-06-27 02:27:46.391194 INFO::Fitting model to feature number 275, F286
## 2024-06-27 02:27:46.395156 INFO::Fitting model to feature number 276, F287
## 2024-06-27 02:27:46.399054 INFO::Fitting model to feature number 277, F288
## 2024-06-27 02:27:46.403094 INFO::Fitting model to feature number 278, F289
## 2024-06-27 02:27:46.407208 INFO::Fitting model to feature number 279, F290
## 2024-06-27 02:27:46.411292 INFO::Fitting model to feature number 280, F292
## 2024-06-27 02:27:46.415247 INFO::Fitting model to feature number 281, F293
## 2024-06-27 02:27:46.419222 INFO::Fitting model to feature number 282, F294
## 2024-06-27 02:27:46.423375 INFO::Fitting model to feature number 283, F295
## 2024-06-27 02:27:46.427412 INFO::Fitting model to feature number 284, F296
## 2024-06-27 02:27:46.431591 INFO::Fitting model to feature number 285, F297
## 2024-06-27 02:27:46.435691 INFO::Fitting model to feature number 286, F298
## 2024-06-27 02:27:46.43968 INFO::Fitting model to feature number 287, F299
## 2024-06-27 02:27:46.44377 INFO::Fitting model to feature number 288, F300
## 2024-06-27 02:27:46.447663 INFO::Fitting model to feature number 289, F301
## 2024-06-27 02:27:46.451522 INFO::Fitting model to feature number 290, F302
## 2024-06-27 02:27:46.4553 INFO::Fitting model to feature number 291, F303
## 2024-06-27 02:27:46.459045 INFO::Fitting model to feature number 292, F304
## 2024-06-27 02:27:46.462977 INFO::Fitting model to feature number 293, F305
## 2024-06-27 02:27:46.466979 INFO::Fitting model to feature number 294, F306
## 2024-06-27 02:27:46.470951 INFO::Fitting model to feature number 295, F307
## 2024-06-27 02:27:46.47486 INFO::Fitting model to feature number 296, F308
## 2024-06-27 02:27:46.478891 INFO::Fitting model to feature number 297, F309
## 2024-06-27 02:27:46.482928 INFO::Fitting model to feature number 298, F310
## 2024-06-27 02:27:46.486881 INFO::Fitting model to feature number 299, F311
## 2024-06-27 02:27:46.490844 INFO::Fitting model to feature number 300, F312
## 2024-06-27 02:27:46.494825 INFO::Fitting model to feature number 301, F313
## 2024-06-27 02:27:46.499081 INFO::Fitting model to feature number 302, F315
## 2024-06-27 02:27:46.502971 INFO::Fitting model to feature number 303, F316
## 2024-06-27 02:27:46.506802 INFO::Fitting model to feature number 304, F317
## 2024-06-27 02:27:46.510669 INFO::Fitting model to feature number 305, F318
## 2024-06-27 02:27:46.514758 INFO::Fitting model to feature number 306, F319
## 2024-06-27 02:27:46.518755 INFO::Fitting model to feature number 307, F320
## 2024-06-27 02:27:46.522727 INFO::Fitting model to feature number 308, F321
## 2024-06-27 02:27:46.526682 INFO::Fitting model to feature number 309, F322
## 2024-06-27 02:27:46.530772 INFO::Fitting model to feature number 310, F323
## 2024-06-27 02:27:46.534817 INFO::Fitting model to feature number 311, F324
## 2024-06-27 02:27:46.538661 INFO::Fitting model to feature number 312, F325
## 2024-06-27 02:27:46.542648 INFO::Fitting model to feature number 313, F326
## 2024-06-27 02:27:46.546822 INFO::Fitting model to feature number 314, F327
## 2024-06-27 02:27:46.55092 INFO::Fitting model to feature number 315, F328
## 2024-06-27 02:27:46.554901 INFO::Fitting model to feature number 316, F329
## 2024-06-27 02:27:46.558895 INFO::Fitting model to feature number 317, F330
## 2024-06-27 02:27:46.562789 INFO::Fitting model to feature number 318, F331
## 2024-06-27 02:27:46.566765 INFO::Fitting model to feature number 319, F332
## 2024-06-27 02:27:46.570689 INFO::Fitting model to feature number 320, F333
## 2024-06-27 02:27:46.574544 INFO::Fitting model to feature number 321, F334
## 2024-06-27 02:27:46.578359 INFO::Fitting model to feature number 322, F335
## 2024-06-27 02:27:46.582328 INFO::Fitting model to feature number 323, F336
## 2024-06-27 02:27:46.586209 INFO::Fitting model to feature number 324, F337
## 2024-06-27 02:27:46.590102 INFO::Fitting model to feature number 325, F338
## 2024-06-27 02:27:46.593999 INFO::Fitting model to feature number 326, F339
## 2024-06-27 02:27:46.598005 INFO::Fitting model to feature number 327, F340
## 2024-06-27 02:27:46.602011 INFO::Fitting model to feature number 328, F342
## 2024-06-27 02:27:46.605925 INFO::Fitting model to feature number 329, F343
## 2024-06-27 02:27:46.609857 INFO::Fitting model to feature number 330, F344
## 2024-06-27 02:27:46.613836 INFO::Fitting model to feature number 331, F345
## 2024-06-27 02:27:46.61779 INFO::Fitting model to feature number 332, F346
## 2024-06-27 02:27:46.622017 INFO::Fitting model to feature number 333, F347
## 2024-06-27 02:27:46.625995 INFO::Fitting model to feature number 334, F348
## 2024-06-27 02:27:46.6299 INFO::Fitting model to feature number 335, F350
## 2024-06-27 02:27:46.633756 INFO::Fitting model to feature number 336, F351
## 2024-06-27 02:27:46.637697 INFO::Fitting model to feature number 337, F352
## 2024-06-27 02:27:46.641706 INFO::Fitting model to feature number 338, F353
## 2024-06-27 02:27:46.645735 INFO::Fitting model to feature number 339, F355
## 2024-06-27 02:27:46.649704 INFO::Fitting model to feature number 340, F356
## 2024-06-27 02:27:46.653589 INFO::Fitting model to feature number 341, F357
## 2024-06-27 02:27:46.657525 INFO::Fitting model to feature number 342, F358
## 2024-06-27 02:27:46.661366 INFO::Fitting model to feature number 343, F359
## 2024-06-27 02:27:46.665427 INFO::Fitting model to feature number 344, F360
## 2024-06-27 02:27:46.669459 INFO::Fitting model to feature number 345, F361
## 2024-06-27 02:27:46.673427 INFO::Fitting model to feature number 346, F362
## 2024-06-27 02:27:46.677361 INFO::Fitting model to feature number 347, F363
## 2024-06-27 02:27:46.681383 INFO::Fitting model to feature number 348, F364
## 2024-06-27 02:27:46.685398 INFO::Fitting model to feature number 349, F365
## 2024-06-27 02:27:46.68947 INFO::Fitting model to feature number 350, F366
## 2024-06-27 02:27:46.693476 INFO::Fitting model to feature number 351, F367
## 2024-06-27 02:27:46.697682 INFO::Fitting model to feature number 352, F368
## 2024-06-27 02:27:46.701735 INFO::Fitting model to feature number 353, F369
## 2024-06-27 02:27:46.705817 INFO::Fitting model to feature number 354, F370
## 2024-06-27 02:27:46.709834 INFO::Fitting model to feature number 355, F371
## 2024-06-27 02:27:46.713781 INFO::Fitting model to feature number 356, F372
## 2024-06-27 02:27:46.717831 INFO::Fitting model to feature number 357, F373
## 2024-06-27 02:27:46.721576 INFO::Fitting model to feature number 358, F374
## 2024-06-27 02:27:46.725334 INFO::Fitting model to feature number 359, F375
## 2024-06-27 02:27:46.729383 INFO::Fitting model to feature number 360, F376
## 2024-06-27 02:27:46.733255 INFO::Fitting model to feature number 361, F377
## 2024-06-27 02:27:46.73717 INFO::Fitting model to feature number 362, F378
## 2024-06-27 02:27:46.74132 INFO::Fitting model to feature number 363, F379
## 2024-06-27 02:27:46.745413 INFO::Fitting model to feature number 364, F380
## 2024-06-27 02:27:46.749348 INFO::Fitting model to feature number 365, F381
## 2024-06-27 02:27:46.75333 INFO::Fitting model to feature number 366, F382
## 2024-06-27 02:27:46.757389 INFO::Fitting model to feature number 367, F383
## 2024-06-27 02:27:46.761364 INFO::Fitting model to feature number 368, F384
## 2024-06-27 02:27:46.765241 INFO::Fitting model to feature number 369, F386
## 2024-06-27 02:27:46.769097 INFO::Fitting model to feature number 370, F387
## 2024-06-27 02:27:46.773067 INFO::Fitting model to feature number 371, F388
## 2024-06-27 02:27:46.777068 INFO::Fitting model to feature number 372, F389
## 2024-06-27 02:27:46.781094 INFO::Fitting model to feature number 373, F390
## 2024-06-27 02:27:46.785051 INFO::Fitting model to feature number 374, F391
## 2024-06-27 02:27:46.789022 INFO::Fitting model to feature number 375, F392
## 2024-06-27 02:27:46.793079 INFO::Fitting model to feature number 376, F393
## 2024-06-27 02:27:46.797115 INFO::Fitting model to feature number 377, F394
## 2024-06-27 02:27:46.800976 INFO::Fitting model to feature number 378, F395
## 2024-06-27 02:27:46.804982 INFO::Fitting model to feature number 379, F396
## 2024-06-27 02:27:46.809099 INFO::Fitting model to feature number 380, F397
## 2024-06-27 02:27:46.813115 INFO::Fitting model to feature number 381, F398
## 2024-06-27 02:27:46.81714 INFO::Fitting model to feature number 382, F399
## 2024-06-27 02:27:46.821283 INFO::Fitting model to feature number 383, F400
## 2024-06-27 02:27:46.825188 INFO::Fitting model to feature number 384, F401
## 2024-06-27 02:27:46.829021 INFO::Fitting model to feature number 385, F402
## 2024-06-27 02:27:46.832842 INFO::Fitting model to feature number 386, F403
## 2024-06-27 02:27:46.836802 INFO::Fitting model to feature number 387, F404
## 2024-06-27 02:27:46.840782 INFO::Fitting model to feature number 388, F406
## 2024-06-27 02:27:46.84472 INFO::Fitting model to feature number 389, F407
## 2024-06-27 02:27:46.848566 INFO::Fitting model to feature number 390, F408
## 2024-06-27 02:27:46.852434 INFO::Fitting model to feature number 391, F409
## 2024-06-27 02:27:46.856435 INFO::Fitting model to feature number 392, F410
## 2024-06-27 02:27:46.860364 INFO::Fitting model to feature number 393, F411
## 2024-06-27 02:27:46.864223 INFO::Fitting model to feature number 394, F412
## 2024-06-27 02:27:46.868178 INFO::Fitting model to feature number 395, F413
## 2024-06-27 02:27:46.872189 INFO::Fitting model to feature number 396, F414
## 2024-06-27 02:27:46.876106 INFO::Fitting model to feature number 397, F415
## 2024-06-27 02:27:46.880755 INFO::Fitting model to feature number 398, F416
## 2024-06-27 02:27:46.885156 INFO::Fitting model to feature number 399, F417
## 2024-06-27 02:27:46.889443 INFO::Fitting model to feature number 400, F418
## 2024-06-27 02:27:46.893727 INFO::Fitting model to feature number 401, F419
## 2024-06-27 02:27:46.897904 INFO::Fitting model to feature number 402, F420
## 2024-06-27 02:27:46.902139 INFO::Fitting model to feature number 403, F421
## 2024-06-27 02:27:46.906399 INFO::Fitting model to feature number 404, F422
## 2024-06-27 02:27:46.910557 INFO::Fitting model to feature number 405, F423
## 2024-06-27 02:27:46.914626 INFO::Fitting model to feature number 406, F425
## 2024-06-27 02:27:46.918774 INFO::Fitting model to feature number 407, F426
## 2024-06-27 02:27:46.922986 INFO::Fitting model to feature number 408, F428
## 2024-06-27 02:27:46.927118 INFO::Fitting model to feature number 409, F429
## 2024-06-27 02:27:46.931191 INFO::Fitting model to feature number 410, F430
## 2024-06-27 02:27:46.93555 INFO::Fitting model to feature number 411, F431
## 2024-06-27 02:27:46.939579 INFO::Fitting model to feature number 412, F432
## 2024-06-27 02:27:46.943444 INFO::Fitting model to feature number 413, F433
## 2024-06-27 02:27:46.948115 INFO::Fitting model to feature number 414, F434
## 2024-06-27 02:27:46.952613 INFO::Fitting model to feature number 415, F435
## 2024-06-27 02:27:46.956078 INFO::Fitting model to feature number 416, F436
## 2024-06-27 02:27:46.959142 INFO::Fitting model to feature number 417, F437
## 2024-06-27 02:27:46.96218 INFO::Fitting model to feature number 418, F438
## 2024-06-27 02:27:46.965459 INFO::Fitting model to feature number 419, F439
## 2024-06-27 02:27:46.969518 INFO::Fitting model to feature number 420, F440
## 2024-06-27 02:27:46.973538 INFO::Fitting model to feature number 421, F441
## 2024-06-27 02:27:46.977507 INFO::Fitting model to feature number 422, F442
## 2024-06-27 02:27:46.981478 INFO::Fitting model to feature number 423, F443
## 2024-06-27 02:27:46.985452 INFO::Fitting model to feature number 424, F444
## 2024-06-27 02:27:46.989471 INFO::Fitting model to feature number 425, F445
## 2024-06-27 02:27:46.993617 INFO::Fitting model to feature number 426, F446
## 2024-06-27 02:27:46.997724 INFO::Fitting model to feature number 427, F447
## 2024-06-27 02:27:47.001728 INFO::Fitting model to feature number 428, F448
## 2024-06-27 02:27:47.005687 INFO::Fitting model to feature number 429, F449
## 2024-06-27 02:27:47.009596 INFO::Fitting model to feature number 430, F450
## 2024-06-27 02:27:47.013485 INFO::Fitting model to feature number 431, F451
## 2024-06-27 02:27:47.017399 INFO::Fitting model to feature number 432, F452
## 2024-06-27 02:27:47.021345 INFO::Fitting model to feature number 433, F454
## 2024-06-27 02:27:47.025302 INFO::Fitting model to feature number 434, F455
## 2024-06-27 02:27:47.029185 INFO::Fitting model to feature number 435, F456
## 2024-06-27 02:27:47.033125 INFO::Fitting model to feature number 436, F457
## 2024-06-27 02:27:47.036986 INFO::Fitting model to feature number 437, F458
## 2024-06-27 02:27:47.040893 INFO::Fitting model to feature number 438, F459
## 2024-06-27 02:27:47.04487 INFO::Fitting model to feature number 439, F461
## 2024-06-27 02:27:47.048686 INFO::Fitting model to feature number 440, F462
## 2024-06-27 02:27:47.052406 INFO::Fitting model to feature number 441, F463
## 2024-06-27 02:27:47.05616 INFO::Fitting model to feature number 442, F464
## 2024-06-27 02:27:47.0599 INFO::Fitting model to feature number 443, F465
## 2024-06-27 02:27:47.063648 INFO::Fitting model to feature number 444, F466
## 2024-06-27 02:27:47.06746 INFO::Fitting model to feature number 445, F467
## 2024-06-27 02:27:47.071343 INFO::Fitting model to feature number 446, F468
## 2024-06-27 02:27:47.075252 INFO::Fitting model to feature number 447, F469
## 2024-06-27 02:27:47.079109 INFO::Fitting model to feature number 448, F470
## 2024-06-27 02:27:47.08302 INFO::Fitting model to feature number 449, F471
## 2024-06-27 02:27:47.086929 INFO::Fitting model to feature number 450, F474
## 2024-06-27 02:27:47.090814 INFO::Fitting model to feature number 451, F475
## 2024-06-27 02:27:47.094697 INFO::Fitting model to feature number 452, F476
## 2024-06-27 02:27:47.098578 INFO::Fitting model to feature number 453, F477
## 2024-06-27 02:27:47.102475 INFO::Fitting model to feature number 454, F478
## 2024-06-27 02:27:47.106394 INFO::Fitting model to feature number 455, F479
## 2024-06-27 02:27:47.110296 INFO::Fitting model to feature number 456, F480
## 2024-06-27 02:27:47.114024 INFO::Fitting model to feature number 457, F481
## 2024-06-27 02:27:47.117766 INFO::Fitting model to feature number 458, F482
## 2024-06-27 02:27:47.12148 INFO::Fitting model to feature number 459, F483
## 2024-06-27 02:27:47.125268 INFO::Fitting model to feature number 460, F484
## 2024-06-27 02:27:47.129024 INFO::Fitting model to feature number 461, F485
## 2024-06-27 02:27:47.132721 INFO::Fitting model to feature number 462, F486
## 2024-06-27 02:27:47.136478 INFO::Fitting model to feature number 463, F487
## 2024-06-27 02:27:47.140223 INFO::Fitting model to feature number 464, F488
## 2024-06-27 02:27:47.14397 INFO::Fitting model to feature number 465, F489
## 2024-06-27 02:27:47.147853 INFO::Fitting model to feature number 466, F490
## 2024-06-27 02:27:47.151715 INFO::Fitting model to feature number 467, F491
## 2024-06-27 02:27:47.155661 INFO::Fitting model to feature number 468, F492
## 2024-06-27 02:27:47.15965 INFO::Fitting model to feature number 469, F493
## 2024-06-27 02:27:47.163531 INFO::Fitting model to feature number 470, F494
## 2024-06-27 02:27:47.167445 INFO::Fitting model to feature number 471, F495
## 2024-06-27 02:27:47.171431 INFO::Fitting model to feature number 472, F496
## 2024-06-27 02:27:47.175399 INFO::Fitting model to feature number 473, F497
## 2024-06-27 02:27:47.179354 INFO::Fitting model to feature number 474, F498
## 2024-06-27 02:27:47.183219 INFO::Fitting model to feature number 475, F499
## 2024-06-27 02:27:47.187084 INFO::Fitting model to feature number 476, F500
## 2024-06-27 02:27:47.191027 INFO::Fitting model to feature number 477, F501
## 2024-06-27 02:27:47.194933 INFO::Fitting model to feature number 478, F502
## 2024-06-27 02:27:47.198891 INFO::Fitting model to feature number 479, F503
## 2024-06-27 02:27:47.202783 INFO::Fitting model to feature number 480, F504
## 2024-06-27 02:27:47.206713 INFO::Fitting model to feature number 481, F505
## 2024-06-27 02:27:47.210622 INFO::Fitting model to feature number 482, F506
## 2024-06-27 02:27:47.214563 INFO::Fitting model to feature number 483, F507
## 2024-06-27 02:27:47.218452 INFO::Fitting model to feature number 484, F508
## 2024-06-27 02:27:47.222359 INFO::Fitting model to feature number 485, F509
## 2024-06-27 02:27:47.226276 INFO::Fitting model to feature number 486, F510
## 2024-06-27 02:27:47.230186 INFO::Fitting model to feature number 487, F511
## 2024-06-27 02:27:47.234171 INFO::Fitting model to feature number 488, F512
## 2024-06-27 02:27:47.238126 INFO::Fitting model to feature number 489, F513
## 2024-06-27 02:27:47.242052 INFO::Fitting model to feature number 490, F514
## 2024-06-27 02:27:47.245975 INFO::Fitting model to feature number 491, F515
## 2024-06-27 02:27:47.249918 INFO::Fitting model to feature number 492, F516
## 2024-06-27 02:27:47.253939 INFO::Fitting model to feature number 493, F517
## 2024-06-27 02:27:47.257918 INFO::Fitting model to feature number 494, F518
## 2024-06-27 02:27:47.262035 INFO::Fitting model to feature number 495, F519
## 2024-06-27 02:27:47.266055 INFO::Fitting model to feature number 496, F520
## 2024-06-27 02:27:47.27007 INFO::Fitting model to feature number 497, F521
## 2024-06-27 02:27:47.27405 INFO::Fitting model to feature number 498, F522
## 2024-06-27 02:27:47.278057 INFO::Fitting model to feature number 499, F523
## 2024-06-27 02:27:47.282136 INFO::Fitting model to feature number 500, F524
## 2024-06-27 02:27:47.286105 INFO::Fitting model to feature number 501, F525
## 2024-06-27 02:27:47.290053 INFO::Fitting model to feature number 502, F526
## 2024-06-27 02:27:47.293983 INFO::Fitting model to feature number 503, F527
## 2024-06-27 02:27:47.297964 INFO::Fitting model to feature number 504, F528
## 2024-06-27 02:27:47.301925 INFO::Fitting model to feature number 505, F529
## 2024-06-27 02:27:47.3058 INFO::Fitting model to feature number 506, F530
## 2024-06-27 02:27:47.309588 INFO::Fitting model to feature number 507, F531
## 2024-06-27 02:27:47.313439 INFO::Fitting model to feature number 508, F532
## 2024-06-27 02:27:47.317253 INFO::Fitting model to feature number 509, F533
## 2024-06-27 02:27:47.321075 INFO::Fitting model to feature number 510, F534
## 2024-06-27 02:27:47.324963 INFO::Fitting model to feature number 511, F535
## 2024-06-27 02:27:47.328914 INFO::Fitting model to feature number 512, F536
## 2024-06-27 02:27:47.332805 INFO::Fitting model to feature number 513, F537
## 2024-06-27 02:27:47.33683 INFO::Fitting model to feature number 514, F539
## 2024-06-27 02:27:47.340762 INFO::Fitting model to feature number 515, F540
## 2024-06-27 02:27:47.344694 INFO::Fitting model to feature number 516, F541
## 2024-06-27 02:27:47.34864 INFO::Fitting model to feature number 517, F543
## 2024-06-27 02:27:47.352561 INFO::Fitting model to feature number 518, F544
## 2024-06-27 02:27:47.356577 INFO::Fitting model to feature number 519, F545
## 2024-06-27 02:27:47.360536 INFO::Fitting model to feature number 520, F546
## 2024-06-27 02:27:47.364696 INFO::Fitting model to feature number 521, F547
## 2024-06-27 02:27:47.368758 INFO::Fitting model to feature number 522, F548
## 2024-06-27 02:27:47.372795 INFO::Fitting model to feature number 523, F549
## 2024-06-27 02:27:47.376834 INFO::Fitting model to feature number 524, F550
## 2024-06-27 02:27:47.38076 INFO::Fitting model to feature number 525, F551
## 2024-06-27 02:27:47.384589 INFO::Fitting model to feature number 526, F552
## 2024-06-27 02:27:47.388392 INFO::Fitting model to feature number 527, F553
## 2024-06-27 02:27:47.39225 INFO::Fitting model to feature number 528, F554
## 2024-06-27 02:27:47.396 INFO::Fitting model to feature number 529, F555
## 2024-06-27 02:27:47.39977 INFO::Fitting model to feature number 530, F556
## 2024-06-27 02:27:47.403547 INFO::Fitting model to feature number 531, F557
## 2024-06-27 02:27:47.407371 INFO::Fitting model to feature number 532, F558
## 2024-06-27 02:27:47.411121 INFO::Fitting model to feature number 533, F559
## 2024-06-27 02:27:47.415334 INFO::Fitting model to feature number 534, F560
## 2024-06-27 02:27:47.420017 INFO::Fitting model to feature number 535, F561
## 2024-06-27 02:27:47.424356 INFO::Fitting model to feature number 536, F562
## 2024-06-27 02:27:47.428529 INFO::Fitting model to feature number 537, F563
## 2024-06-27 02:27:47.432583 INFO::Fitting model to feature number 538, F564
## 2024-06-27 02:27:47.436551 INFO::Fitting model to feature number 539, F566
## 2024-06-27 02:27:47.44031 INFO::Fitting model to feature number 540, F567
## 2024-06-27 02:27:47.444013 INFO::Fitting model to feature number 541, F568
## 2024-06-27 02:27:47.447616 INFO::Fitting model to feature number 542, F569
## 2024-06-27 02:27:47.451235 INFO::Fitting model to feature number 543, F570
## 2024-06-27 02:27:47.455056 INFO::Fitting model to feature number 544, F571
## 2024-06-27 02:27:47.459076 INFO::Fitting model to feature number 545, F572
## 2024-06-27 02:27:47.463109 INFO::Fitting model to feature number 546, F573
## 2024-06-27 02:27:47.466988 INFO::Fitting model to feature number 547, F574
## 2024-06-27 02:27:47.470845 INFO::Fitting model to feature number 548, F575
## 2024-06-27 02:27:47.474679 INFO::Fitting model to feature number 549, F576
## 2024-06-27 02:27:47.478731 INFO::Fitting model to feature number 550, F577
## 2024-06-27 02:27:47.527264 INFO::Fitting model to feature number 551, F578
## 2024-06-27 02:27:47.531831 INFO::Fitting model to feature number 552, F579
## 2024-06-27 02:27:47.535764 INFO::Fitting model to feature number 553, F580
## 2024-06-27 02:27:47.539549 INFO::Fitting model to feature number 554, F581
## 2024-06-27 02:27:47.543318 INFO::Fitting model to feature number 555, F582
## 2024-06-27 02:27:47.547283 INFO::Fitting model to feature number 556, F583
## 2024-06-27 02:27:47.551152 INFO::Fitting model to feature number 557, F584
## 2024-06-27 02:27:47.554966 INFO::Fitting model to feature number 558, F585
## 2024-06-27 02:27:47.558631 INFO::Fitting model to feature number 559, F586
## 2024-06-27 02:27:47.562157 INFO::Fitting model to feature number 560, F587
## 2024-06-27 02:27:47.56554 INFO::Fitting model to feature number 561, F588
## 2024-06-27 02:27:47.568912 INFO::Fitting model to feature number 562, F589
## 2024-06-27 02:27:47.572235 INFO::Fitting model to feature number 563, F590
## 2024-06-27 02:27:47.575627 INFO::Fitting model to feature number 564, F591
## 2024-06-27 02:27:47.579007 INFO::Fitting model to feature number 565, F592
## 2024-06-27 02:27:47.582535 INFO::Fitting model to feature number 566, F593
## 2024-06-27 02:27:47.585927 INFO::Fitting model to feature number 567, F594
## 2024-06-27 02:27:47.589324 INFO::Fitting model to feature number 568, F595
## 2024-06-27 02:27:47.592693 INFO::Fitting model to feature number 569, F596
## 2024-06-27 02:27:47.596067 INFO::Fitting model to feature number 570, F597
## 2024-06-27 02:27:47.599463 INFO::Fitting model to feature number 571, F598
## 2024-06-27 02:27:47.602922 INFO::Fitting model to feature number 572, F599
## 2024-06-27 02:27:47.606323 INFO::Fitting model to feature number 573, F600
## 2024-06-27 02:27:47.609718 INFO::Fitting model to feature number 574, F601
## 2024-06-27 02:27:47.613125 INFO::Fitting model to feature number 575, F602
## 2024-06-27 02:27:47.616717 INFO::Fitting model to feature number 576, F603
## 2024-06-27 02:27:47.620146 INFO::Fitting model to feature number 577, F605
## 2024-06-27 02:27:47.623518 INFO::Fitting model to feature number 578, F606
## 2024-06-27 02:27:47.626883 INFO::Fitting model to feature number 579, F607
## 2024-06-27 02:27:47.630259 INFO::Fitting model to feature number 580, F608
## 2024-06-27 02:27:47.633699 INFO::Fitting model to feature number 581, F609
## 2024-06-27 02:27:47.637134 INFO::Fitting model to feature number 582, F610
## 2024-06-27 02:27:47.640537 INFO::Fitting model to feature number 583, F611
## 2024-06-27 02:27:47.643863 INFO::Fitting model to feature number 584, F612
## 2024-06-27 02:27:47.647216 INFO::Fitting model to feature number 585, F613
## 2024-06-27 02:27:47.65061 INFO::Fitting model to feature number 586, F614
## 2024-06-27 02:27:47.654058 INFO::Fitting model to feature number 587, F615
## 2024-06-27 02:27:47.657486 INFO::Fitting model to feature number 588, F616
## 2024-06-27 02:27:47.660922 INFO::Fitting model to feature number 589, F617
## 2024-06-27 02:27:47.664394 INFO::Fitting model to feature number 590, F618
## 2024-06-27 02:27:47.668194 INFO::Fitting model to feature number 591, F619
## 2024-06-27 02:27:47.672421 INFO::Fitting model to feature number 592, F620
## 2024-06-27 02:27:47.676638 INFO::Fitting model to feature number 593, F621
## 2024-06-27 02:27:47.680656 INFO::Fitting model to feature number 594, F622
## 2024-06-27 02:27:47.6846 INFO::Fitting model to feature number 595, F623
## 2024-06-27 02:27:47.688368 INFO::Fitting model to feature number 596, F624
## 2024-06-27 02:27:47.692124 INFO::Fitting model to feature number 597, F625
## 2024-06-27 02:27:47.695772 INFO::Fitting model to feature number 598, F626
## 2024-06-27 02:27:47.699143 INFO::Fitting model to feature number 599, F627
## 2024-06-27 02:27:47.702523 INFO::Fitting model to feature number 600, F628
## 2024-06-27 02:27:47.705828 INFO::Fitting model to feature number 601, F629
## 2024-06-27 02:27:47.709129 INFO::Fitting model to feature number 602, F630
## 2024-06-27 02:27:47.712441 INFO::Fitting model to feature number 603, F631
## 2024-06-27 02:27:47.715798 INFO::Fitting model to feature number 604, F632
## 2024-06-27 02:27:47.719142 INFO::Fitting model to feature number 605, F633
## 2024-06-27 02:27:47.722496 INFO::Fitting model to feature number 606, F634
## 2024-06-27 02:27:47.725855 INFO::Fitting model to feature number 607, F635
## 2024-06-27 02:27:47.729259 INFO::Fitting model to feature number 608, F636
## 2024-06-27 02:27:47.73263 INFO::Fitting model to feature number 609, F637
## 2024-06-27 02:27:47.736 INFO::Fitting model to feature number 610, F638
## 2024-06-27 02:27:47.73943 INFO::Fitting model to feature number 611, F639
## 2024-06-27 02:27:47.743243 INFO::Fitting model to feature number 612, F640
## 2024-06-27 02:27:47.747023 INFO::Fitting model to feature number 613, F641
## 2024-06-27 02:27:47.750741 INFO::Fitting model to feature number 614, F642
## 2024-06-27 02:27:47.754519 INFO::Fitting model to feature number 615, F643
## 2024-06-27 02:27:47.75817 INFO::Fitting model to feature number 616, F644
## 2024-06-27 02:27:47.761993 INFO::Fitting model to feature number 617, F645
## 2024-06-27 02:27:47.765756 INFO::Fitting model to feature number 618, F646
## 2024-06-27 02:27:47.769654 INFO::Fitting model to feature number 619, F647
## 2024-06-27 02:27:47.773407 INFO::Fitting model to feature number 620, F648
## 2024-06-27 02:27:47.777235 INFO::Fitting model to feature number 621, F649
## 2024-06-27 02:27:47.780897 INFO::Fitting model to feature number 622, F650
## 2024-06-27 02:27:47.784628 INFO::Fitting model to feature number 623, F651
## 2024-06-27 02:27:47.788295 INFO::Fitting model to feature number 624, F652
## 2024-06-27 02:27:47.791999 INFO::Fitting model to feature number 625, F653
## 2024-06-27 02:27:47.795747 INFO::Fitting model to feature number 626, F654
## 2024-06-27 02:27:47.799279 INFO::Fitting model to feature number 627, F655
## 2024-06-27 02:27:47.80269 INFO::Fitting model to feature number 628, F656
## 2024-06-27 02:27:47.80623 INFO::Fitting model to feature number 629, F657
## 2024-06-27 02:27:47.810171 INFO::Fitting model to feature number 630, F658
## 2024-06-27 02:27:47.813872 INFO::Fitting model to feature number 631, F659
## 2024-06-27 02:27:47.817464 INFO::Fitting model to feature number 632, F660
## 2024-06-27 02:27:47.82105 INFO::Fitting model to feature number 633, F661
## 2024-06-27 02:27:47.82466 INFO::Fitting model to feature number 634, F662
## 2024-06-27 02:27:47.828317 INFO::Fitting model to feature number 635, F663
## 2024-06-27 02:27:47.831992 INFO::Fitting model to feature number 636, F664
## 2024-06-27 02:27:47.835798 INFO::Fitting model to feature number 637, F665
## 2024-06-27 02:27:47.839487 INFO::Fitting model to feature number 638, F666
## 2024-06-27 02:27:47.843323 INFO::Fitting model to feature number 639, F667
## 2024-06-27 02:27:47.847122 INFO::Fitting model to feature number 640, F668
## 2024-06-27 02:27:47.850862 INFO::Fitting model to feature number 641, F669
## 2024-06-27 02:27:47.854474 INFO::Fitting model to feature number 642, F670
## 2024-06-27 02:27:47.858113 INFO::Fitting model to feature number 643, F671
## 2024-06-27 02:27:47.861752 INFO::Fitting model to feature number 644, F672
## 2024-06-27 02:27:47.865413 INFO::Fitting model to feature number 645, F673
## 2024-06-27 02:27:47.869062 INFO::Fitting model to feature number 646, F674
## 2024-06-27 02:27:47.872648 INFO::Fitting model to feature number 647, F675
## 2024-06-27 02:27:47.876291 INFO::Fitting model to feature number 648, F676
## 2024-06-27 02:27:47.879909 INFO::Fitting model to feature number 649, F677
## 2024-06-27 02:27:47.883451 INFO::Fitting model to feature number 650, F678
## 2024-06-27 02:27:47.887021 INFO::Fitting model to feature number 651, F679
## 2024-06-27 02:27:47.890584 INFO::Fitting model to feature number 652, F680
## 2024-06-27 02:27:47.894271 INFO::Fitting model to feature number 653, F681
## 2024-06-27 02:27:47.89806 INFO::Fitting model to feature number 654, F682
## 2024-06-27 02:27:47.901804 INFO::Fitting model to feature number 655, F683
## 2024-06-27 02:27:47.905692 INFO::Fitting model to feature number 656, F684
## 2024-06-27 02:27:47.909432 INFO::Fitting model to feature number 657, F685
## 2024-06-27 02:27:47.913236 INFO::Fitting model to feature number 658, F686
## 2024-06-27 02:27:47.916933 INFO::Fitting model to feature number 659, F687
## 2024-06-27 02:27:47.920658 INFO::Fitting model to feature number 660, F688
## 2024-06-27 02:27:47.924454 INFO::Fitting model to feature number 661, F689
## 2024-06-27 02:27:47.928174 INFO::Fitting model to feature number 662, F690
## 2024-06-27 02:27:47.93201 INFO::Fitting model to feature number 663, F691
## 2024-06-27 02:27:47.935646 INFO::Fitting model to feature number 664, F692
## 2024-06-27 02:27:47.939254 INFO::Fitting model to feature number 665, F693
## 2024-06-27 02:27:47.943131 INFO::Fitting model to feature number 666, F694
## 2024-06-27 02:27:47.94685 INFO::Fitting model to feature number 667, F695
## 2024-06-27 02:27:47.950646 INFO::Fitting model to feature number 668, F696
## 2024-06-27 02:27:47.954343 INFO::Fitting model to feature number 669, F697
## 2024-06-27 02:27:47.958112 INFO::Fitting model to feature number 670, F698
## 2024-06-27 02:27:47.96176 INFO::Fitting model to feature number 671, F699
## 2024-06-27 02:27:47.965335 INFO::Fitting model to feature number 672, F700
## 2024-06-27 02:27:47.968958 INFO::Fitting model to feature number 673, F701
## 2024-06-27 02:27:47.972582 INFO::Fitting model to feature number 674, F702
## 2024-06-27 02:27:47.976211 INFO::Fitting model to feature number 675, F704
## 2024-06-27 02:27:47.979827 INFO::Fitting model to feature number 676, F705
## 2024-06-27 02:27:47.983444 INFO::Fitting model to feature number 677, F706
## 2024-06-27 02:27:47.987038 INFO::Fitting model to feature number 678, F707
## 2024-06-27 02:27:47.990654 INFO::Fitting model to feature number 679, F708
## 2024-06-27 02:27:47.994308 INFO::Fitting model to feature number 680, F709
## 2024-06-27 02:27:47.997997 INFO::Fitting model to feature number 681, F710
## 2024-06-27 02:27:48.001751 INFO::Fitting model to feature number 682, F711
## 2024-06-27 02:27:48.005615 INFO::Fitting model to feature number 683, F712
## 2024-06-27 02:27:48.009373 INFO::Fitting model to feature number 684, F713
## 2024-06-27 02:27:48.013354 INFO::Fitting model to feature number 685, F714
## 2024-06-27 02:27:48.017134 INFO::Fitting model to feature number 686, F715
## 2024-06-27 02:27:48.020898 INFO::Fitting model to feature number 687, F716
## 2024-06-27 02:27:48.024686 INFO::Fitting model to feature number 688, F717
## 2024-06-27 02:27:48.028396 INFO::Fitting model to feature number 689, F718
## 2024-06-27 02:27:48.032382 INFO::Fitting model to feature number 690, F719
## 2024-06-27 02:27:48.036079 INFO::Fitting model to feature number 691, F720
## 2024-06-27 02:27:48.039837 INFO::Fitting model to feature number 692, F721
## 2024-06-27 02:27:48.043596 INFO::Fitting model to feature number 693, F722
## 2024-06-27 02:27:48.047188 INFO::Fitting model to feature number 694, F723
## 2024-06-27 02:27:48.050732 INFO::Fitting model to feature number 695, F724
## 2024-06-27 02:27:48.054187 INFO::Fitting model to feature number 696, F725
## 2024-06-27 02:27:48.057672 INFO::Fitting model to feature number 697, F726
## 2024-06-27 02:27:48.06117 INFO::Fitting model to feature number 698, F727
## 2024-06-27 02:27:48.064669 INFO::Fitting model to feature number 699, F728
## 2024-06-27 02:27:48.068195 INFO::Fitting model to feature number 700, F729
## 2024-06-27 02:27:48.07171 INFO::Fitting model to feature number 701, F730
## 2024-06-27 02:27:48.075204 INFO::Fitting model to feature number 702, F731
## 2024-06-27 02:27:48.078714 INFO::Fitting model to feature number 703, F732
## 2024-06-27 02:27:48.08224 INFO::Fitting model to feature number 704, F733
## 2024-06-27 02:27:48.08574 INFO::Fitting model to feature number 705, F734
## 2024-06-27 02:27:48.089215 INFO::Fitting model to feature number 706, F735
## 2024-06-27 02:27:48.092698 INFO::Fitting model to feature number 707, F736
## 2024-06-27 02:27:48.096215 INFO::Fitting model to feature number 708, F737
## 2024-06-27 02:27:48.09971 INFO::Fitting model to feature number 709, F739
## 2024-06-27 02:27:48.103165 INFO::Fitting model to feature number 710, F740
## 2024-06-27 02:27:48.106647 INFO::Fitting model to feature number 711, F741
## 2024-06-27 02:27:48.110267 INFO::Fitting model to feature number 712, F742
## 2024-06-27 02:27:48.114129 INFO::Fitting model to feature number 713, F743
## 2024-06-27 02:27:48.117872 INFO::Fitting model to feature number 714, F744
## 2024-06-27 02:27:48.121446 INFO::Fitting model to feature number 715, F745
## 2024-06-27 02:27:48.124963 INFO::Fitting model to feature number 716, F746
## 2024-06-27 02:27:48.128457 INFO::Fitting model to feature number 717, F747
## 2024-06-27 02:27:48.131928 INFO::Fitting model to feature number 718, F748
## 2024-06-27 02:27:48.13539 INFO::Fitting model to feature number 719, F749
## 2024-06-27 02:27:48.138868 INFO::Fitting model to feature number 720, F750
## 2024-06-27 02:27:48.142322 INFO::Fitting model to feature number 721, F751
## 2024-06-27 02:27:48.145773 INFO::Fitting model to feature number 722, F752
## 2024-06-27 02:27:48.149226 INFO::Fitting model to feature number 723, F753
## 2024-06-27 02:27:48.1527 INFO::Fitting model to feature number 724, F754
## 2024-06-27 02:27:48.156166 INFO::Fitting model to feature number 725, F755
## 2024-06-27 02:27:48.159607 INFO::Fitting model to feature number 726, F756
## 2024-06-27 02:27:48.163035 INFO::Fitting model to feature number 727, F757
## 2024-06-27 02:27:48.166559 INFO::Fitting model to feature number 728, F758
## 2024-06-27 02:27:48.170011 INFO::Fitting model to feature number 729, F759
## 2024-06-27 02:27:48.17344 INFO::Fitting model to feature number 730, F760
## 2024-06-27 02:27:48.176898 INFO::Fitting model to feature number 731, F761
## 2024-06-27 02:27:48.180397 INFO::Fitting model to feature number 732, F762
## 2024-06-27 02:27:48.183898 INFO::Fitting model to feature number 733, F763
## 2024-06-27 02:27:48.187422 INFO::Fitting model to feature number 734, F764
## 2024-06-27 02:27:48.190886 INFO::Fitting model to feature number 735, F765
## 2024-06-27 02:27:48.19435 INFO::Fitting model to feature number 736, F766
## 2024-06-27 02:27:48.197751 INFO::Fitting model to feature number 737, F767
## 2024-06-27 02:27:48.201165 INFO::Fitting model to feature number 738, F768
## 2024-06-27 02:27:48.204598 INFO::Fitting model to feature number 739, F769
## 2024-06-27 02:27:48.20817 INFO::Fitting model to feature number 740, F770
## 2024-06-27 02:27:48.211617 INFO::Fitting model to feature number 741, F771
## 2024-06-27 02:27:48.215071 INFO::Fitting model to feature number 742, F772
## 2024-06-27 02:27:48.218552 INFO::Fitting model to feature number 743, F773
## 2024-06-27 02:27:48.222002 INFO::Fitting model to feature number 744, F774
## 2024-06-27 02:27:48.225446 INFO::Fitting model to feature number 745, F775
## 2024-06-27 02:27:48.22889 INFO::Fitting model to feature number 746, F776
## 2024-06-27 02:27:48.232355 INFO::Fitting model to feature number 747, F777
## 2024-06-27 02:27:48.235858 INFO::Fitting model to feature number 748, F778
## 2024-06-27 02:27:48.239334 INFO::Fitting model to feature number 749, F779
## 2024-06-27 02:27:48.242791 INFO::Fitting model to feature number 750, F780
## 2024-06-27 02:27:48.246249 INFO::Fitting model to feature number 751, F781
## 2024-06-27 02:27:48.249719 INFO::Fitting model to feature number 752, F782
## 2024-06-27 02:27:48.253157 INFO::Fitting model to feature number 753, F783
## 2024-06-27 02:27:48.2566 INFO::Fitting model to feature number 754, F784
## 2024-06-27 02:27:48.260111 INFO::Fitting model to feature number 755, F785
## 2024-06-27 02:27:48.263561 INFO::Fitting model to feature number 756, F786
## 2024-06-27 02:27:48.267039 INFO::Fitting model to feature number 757, F787
## 2024-06-27 02:27:48.270493 INFO::Fitting model to feature number 758, F788
## 2024-06-27 02:27:48.273977 INFO::Fitting model to feature number 759, F789
## 2024-06-27 02:27:48.277448 INFO::Fitting model to feature number 760, F790
## 2024-06-27 02:27:48.280942 INFO::Fitting model to feature number 761, F791
## 2024-06-27 02:27:48.2844 INFO::Fitting model to feature number 762, F792
## 2024-06-27 02:27:48.287829 INFO::Fitting model to feature number 763, F793
## 2024-06-27 02:27:48.291302 INFO::Fitting model to feature number 764, F794
## 2024-06-27 02:27:48.294755 INFO::Fitting model to feature number 765, F795
## 2024-06-27 02:27:48.298217 INFO::Fitting model to feature number 766, F796
## 2024-06-27 02:27:48.30167 INFO::Fitting model to feature number 767, F797
## 2024-06-27 02:27:48.305117 INFO::Fitting model to feature number 768, F798
## 2024-06-27 02:27:48.308561 INFO::Fitting model to feature number 769, F799
## 2024-06-27 02:27:48.312003 INFO::Fitting model to feature number 770, F800
## 2024-06-27 02:27:48.315501 INFO::Fitting model to feature number 771, F801
## 2024-06-27 02:27:48.318971 INFO::Fitting model to feature number 772, F802
## 2024-06-27 02:27:48.322403 INFO::Fitting model to feature number 773, F803
## 2024-06-27 02:27:48.32586 INFO::Fitting model to feature number 774, F804
## 2024-06-27 02:27:48.329363 INFO::Fitting model to feature number 775, F805
## 2024-06-27 02:27:48.332875 INFO::Fitting model to feature number 776, F806
## 2024-06-27 02:27:48.336333 INFO::Fitting model to feature number 777, F808
## 2024-06-27 02:27:48.339767 INFO::Fitting model to feature number 778, F809
## 2024-06-27 02:27:48.343253 INFO::Fitting model to feature number 779, F810
## 2024-06-27 02:27:48.346702 INFO::Fitting model to feature number 780, F811
## 2024-06-27 02:27:48.350214 INFO::Fitting model to feature number 781, F812
## 2024-06-27 02:27:48.353693 INFO::Fitting model to feature number 782, F813
## 2024-06-27 02:27:48.357163 INFO::Fitting model to feature number 783, F814
## 2024-06-27 02:27:48.360646 INFO::Fitting model to feature number 784, F815
## 2024-06-27 02:27:48.364121 INFO::Fitting model to feature number 785, F816
## 2024-06-27 02:27:48.367604 INFO::Fitting model to feature number 786, F817
## 2024-06-27 02:27:48.37108 INFO::Fitting model to feature number 787, F818
## 2024-06-27 02:27:48.374567 INFO::Fitting model to feature number 788, F819
## 2024-06-27 02:27:48.378044 INFO::Fitting model to feature number 789, F820
## 2024-06-27 02:27:48.381556 INFO::Fitting model to feature number 790, F821
## 2024-06-27 02:27:48.385037 INFO::Fitting model to feature number 791, F822
## 2024-06-27 02:27:48.38848 INFO::Fitting model to feature number 792, F823
## 2024-06-27 02:27:48.39197 INFO::Fitting model to feature number 793, F824
## 2024-06-27 02:27:48.395458 INFO::Fitting model to feature number 794, F825
## 2024-06-27 02:27:48.399158 INFO::Fitting model to feature number 795, F826
## 2024-06-27 02:27:48.402633 INFO::Fitting model to feature number 796, F827
## 2024-06-27 02:27:48.406092 INFO::Fitting model to feature number 797, F828
## 2024-06-27 02:27:48.409616 INFO::Fitting model to feature number 798, F829
## 2024-06-27 02:27:48.413139 INFO::Fitting model to feature number 799, F830
## 2024-06-27 02:27:48.416652 INFO::Fitting model to feature number 800, F831
## 2024-06-27 02:27:48.42019 INFO::Fitting model to feature number 801, F832
## 2024-06-27 02:27:48.423657 INFO::Fitting model to feature number 802, F833
## 2024-06-27 02:27:48.427191 INFO::Fitting model to feature number 803, F834
## 2024-06-27 02:27:48.430647 INFO::Fitting model to feature number 804, F835
## 2024-06-27 02:27:48.43413 INFO::Fitting model to feature number 805, F836
## 2024-06-27 02:27:48.437584 INFO::Fitting model to feature number 806, F837
## 2024-06-27 02:27:48.441015 INFO::Fitting model to feature number 807, F838
## 2024-06-27 02:27:48.444485 INFO::Fitting model to feature number 808, F839
## 2024-06-27 02:27:48.447972 INFO::Fitting model to feature number 809, F840
## 2024-06-27 02:27:48.451435 INFO::Fitting model to feature number 810, F841
## 2024-06-27 02:27:48.454883 INFO::Fitting model to feature number 811, F842
## 2024-06-27 02:27:48.458302 INFO::Fitting model to feature number 812, F843
## 2024-06-27 02:27:48.461722 INFO::Fitting model to feature number 813, F844
## 2024-06-27 02:27:48.465183 INFO::Fitting model to feature number 814, F845
## 2024-06-27 02:27:48.468688 INFO::Fitting model to feature number 815, F846
## 2024-06-27 02:27:48.472195 INFO::Fitting model to feature number 816, F847
## 2024-06-27 02:27:48.475661 INFO::Fitting model to feature number 817, F848
## 2024-06-27 02:27:48.479136 INFO::Fitting model to feature number 818, F849
## 2024-06-27 02:27:48.482813 INFO::Fitting model to feature number 819, F850
## 2024-06-27 02:27:48.48693 INFO::Fitting model to feature number 820, F851
## 2024-06-27 02:27:48.49101 INFO::Fitting model to feature number 821, F852
## 2024-06-27 02:27:48.495081 INFO::Fitting model to feature number 822, F853
## 2024-06-27 02:27:48.499026 INFO::Fitting model to feature number 823, F854
## 2024-06-27 02:27:48.502868 INFO::Fitting model to feature number 824, F855
## 2024-06-27 02:27:48.506673 INFO::Fitting model to feature number 825, F856
## 2024-06-27 02:27:48.510316 INFO::Fitting model to feature number 826, F857
## 2024-06-27 02:27:48.513862 INFO::Fitting model to feature number 827, F858
## 2024-06-27 02:27:48.517402 INFO::Fitting model to feature number 828, F859
## 2024-06-27 02:27:48.520938 INFO::Fitting model to feature number 829, F860
## 2024-06-27 02:27:48.52457 INFO::Fitting model to feature number 830, F861
## 2024-06-27 02:27:48.528505 INFO::Fitting model to feature number 831, F862
## 2024-06-27 02:27:48.532365 INFO::Fitting model to feature number 832, F863
## 2024-06-27 02:27:48.536172 INFO::Fitting model to feature number 833, F864
## 2024-06-27 02:27:48.539992 INFO::Fitting model to feature number 834, F865
## 2024-06-27 02:27:48.544255 INFO::Fitting model to feature number 835, F866
## 2024-06-27 02:27:48.548435 INFO::Fitting model to feature number 836, F867
## 2024-06-27 02:27:48.55259 INFO::Fitting model to feature number 837, F868
## 2024-06-27 02:27:48.556775 INFO::Fitting model to feature number 838, F869
## 2024-06-27 02:27:48.561111 INFO::Fitting model to feature number 839, F870
## 2024-06-27 02:27:48.564919 INFO::Fitting model to feature number 840, F871
## 2024-06-27 02:27:48.568583 INFO::Fitting model to feature number 841, F872
## 2024-06-27 02:27:48.57216 INFO::Fitting model to feature number 842, F873
## 2024-06-27 02:27:48.575837 INFO::Fitting model to feature number 843, F874
## 2024-06-27 02:27:48.579461 INFO::Fitting model to feature number 844, F875
## 2024-06-27 02:27:48.583044 INFO::Fitting model to feature number 845, F876
## 2024-06-27 02:27:48.586674 INFO::Fitting model to feature number 846, F877
## 2024-06-27 02:27:48.590457 INFO::Fitting model to feature number 847, F878
## 2024-06-27 02:27:48.594432 INFO::Fitting model to feature number 848, F879
## 2024-06-27 02:27:48.598508 INFO::Fitting model to feature number 849, F880
## 2024-06-27 02:27:48.601875 INFO::Fitting model to feature number 850, F881
## 2024-06-27 02:27:48.605439 INFO::Fitting model to feature number 851, F882
## 2024-06-27 02:27:48.609476 INFO::Fitting model to feature number 852, F883
## 2024-06-27 02:27:48.613365 INFO::Fitting model to feature number 853, F884
## 2024-06-27 02:27:48.61685 INFO::Fitting model to feature number 854, F885
## 2024-06-27 02:27:48.620995 INFO::Fitting model to feature number 855, F886
## 2024-06-27 02:27:48.624771 INFO::Fitting model to feature number 856, F887
## 2024-06-27 02:27:48.62848 INFO::Fitting model to feature number 857, F888
## 2024-06-27 02:27:48.632331 INFO::Fitting model to feature number 858, F889
## 2024-06-27 02:27:48.6362 INFO::Fitting model to feature number 859, F890
## 2024-06-27 02:27:48.639836 INFO::Fitting model to feature number 860, F891
## 2024-06-27 02:27:48.643341 INFO::Fitting model to feature number 861, F892
## 2024-06-27 02:27:48.646812 INFO::Fitting model to feature number 862, F893
## 2024-06-27 02:27:48.650327 INFO::Fitting model to feature number 863, F894
## 2024-06-27 02:27:48.653779 INFO::Fitting model to feature number 864, F895
## 2024-06-27 02:27:48.657235 INFO::Fitting model to feature number 865, F896
## 2024-06-27 02:27:48.66068 INFO::Fitting model to feature number 866, F897
## 2024-06-27 02:27:48.664139 INFO::Fitting model to feature number 867, F898
## 2024-06-27 02:27:48.667593 INFO::Fitting model to feature number 868, F899
## 2024-06-27 02:27:48.671037 INFO::Fitting model to feature number 869, F900
## 2024-06-27 02:27:48.890153 INFO::Counting total values for each feature
## 2024-06-27 02:27:49.028892 INFO::Writing filtered data to file Macarron_output/maaslin2_results/features/filtered_data.tsv
## 2024-06-27 02:27:49.170207 INFO::Writing filtered, normalized data to file Macarron_output/maaslin2_results/features/filtered_data_norm.tsv
## 2024-06-27 02:27:49.310588 INFO::Writing filtered, normalized, transformed data to file Macarron_output/maaslin2_results/features/filtered_data_norm_transformed.tsv
## 2024-06-27 02:27:49.450923 INFO::Writing residuals to file Macarron_output/maaslin2_results/fits/residuals.rds
## 2024-06-27 02:27:49.521932 INFO::Writing fitted values to file Macarron_output/maaslin2_results/fits/fitted.rds
## 2024-06-27 02:27:49.579431 INFO::Writing all results to file (ordered by increasing q-values): Macarron_output/maaslin2_results/all_results.tsv
## 2024-06-27 02:27:49.606142 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
## 2024-06-27 02:27:49.618292 INFO::Writing association plots (one for each significant association) to output folder: Macarron_output/maaslin2_results
## 2024-06-27 02:27:49.639274 INFO::Plotting associations from most to least significant, grouped by metadata
## 2024-06-27 02:27:49.64078 INFO::Plotting data for metadata number 1, diagnosis
## 2024-06-27 02:27:49.691704 INFO::Creating boxplot for categorical data, diagnosis vs F504
## 2024-06-27 02:27:50.030857 INFO::Creating boxplot for categorical data, diagnosis vs F859
## 2024-06-27 02:27:50.227121 INFO::Creating boxplot for categorical data, diagnosis vs F533
## 2024-06-27 02:27:50.396183 INFO::Creating boxplot for categorical data, diagnosis vs F587
## 2024-06-27 02:27:50.598694 INFO::Creating boxplot for categorical data, diagnosis vs F584
## 2024-06-27 02:27:50.776092 INFO::Creating boxplot for categorical data, diagnosis vs F197
## 2024-06-27 02:27:50.954635 INFO::Creating boxplot for categorical data, diagnosis vs F380
## 2024-06-27 02:27:51.136945 INFO::Creating boxplot for categorical data, diagnosis vs F829
## 2024-06-27 02:27:51.314884 INFO::Creating boxplot for categorical data, diagnosis vs F664
## 2024-06-27 02:27:51.52543 INFO::Creating boxplot for categorical data, diagnosis vs F93
## 2024-06-27 02:27:51.71707 INFO::Creating boxplot for categorical data, diagnosis vs F15
## 2024-06-27 02:27:51.911803 INFO::Creating boxplot for categorical data, diagnosis vs F881
## 2024-06-27 02:27:52.10438 INFO::Creating boxplot for categorical data, diagnosis vs F806
## 2024-06-27 02:27:52.294155 INFO::Creating boxplot for categorical data, diagnosis vs F78
## 2024-06-27 02:27:52.498717 INFO::Creating boxplot for categorical data, diagnosis vs F189
## 2024-06-27 02:27:52.682252 INFO::Creating boxplot for categorical data, diagnosis vs F369
## 2024-06-27 02:27:52.873145 INFO::Creating boxplot for categorical data, diagnosis vs F623
## 2024-06-27 02:27:53.055567 INFO::Creating boxplot for categorical data, diagnosis vs F710
## 2024-06-27 02:27:53.240946 INFO::Creating boxplot for categorical data, diagnosis vs F851
## 2024-06-27 02:27:53.424969 INFO::Creating boxplot for categorical data, diagnosis vs F257
## 2024-06-27 02:27:53.748426 INFO::Creating boxplot for categorical data, diagnosis vs F330
## 2024-06-27 02:27:53.926084 INFO::Creating boxplot for categorical data, diagnosis vs F344
## 2024-06-27 02:27:54.104452 INFO::Creating boxplot for categorical data, diagnosis vs F696
## 2024-06-27 02:27:54.284052 INFO::Creating boxplot for categorical data, diagnosis vs F741
## 2024-06-27 02:27:54.467067 INFO::Creating boxplot for categorical data, diagnosis vs F509
## 2024-06-27 02:27:54.667055 INFO::Creating boxplot for categorical data, diagnosis vs F479
## 2024-06-27 02:27:54.843256 INFO::Creating boxplot for categorical data, diagnosis vs F550
## 2024-06-27 02:27:55.02583 INFO::Creating boxplot for categorical data, diagnosis vs F640
## 2024-06-27 02:27:55.199721 INFO::Creating boxplot for categorical data, diagnosis vs F281
## 2024-06-27 02:27:55.371903 INFO::Creating boxplot for categorical data, diagnosis vs F80
## 2024-06-27 02:27:55.543903 INFO::Creating boxplot for categorical data, diagnosis vs F285
## 2024-06-27 02:27:55.741974 INFO::Creating boxplot for categorical data, diagnosis vs F531
## 2024-06-27 02:27:55.922453 INFO::Creating boxplot for categorical data, diagnosis vs F737
## 2024-06-27 02:27:56.106751 INFO::Creating boxplot for categorical data, diagnosis vs F875
## 2024-06-27 02:27:56.276425 INFO::Creating boxplot for categorical data, diagnosis vs F864
## 2024-06-27 02:27:56.445545 INFO::Creating boxplot for categorical data, diagnosis vs F379
## 2024-06-27 02:27:56.64037 INFO::Creating boxplot for categorical data, diagnosis vs F190
## 2024-06-27 02:27:56.814949 INFO::Creating boxplot for categorical data, diagnosis vs F4
## 2024-06-27 02:27:56.997378 INFO::Creating boxplot for categorical data, diagnosis vs F591
## 2024-06-27 02:27:57.175759 INFO::Creating boxplot for categorical data, diagnosis vs F773
## 2024-06-27 02:27:57.356401 INFO::Creating boxplot for categorical data, diagnosis vs F283
## 2024-06-27 02:27:57.549935 INFO::Creating boxplot for categorical data, diagnosis vs F233
## 2024-06-27 02:27:57.748789 INFO::Creating boxplot for categorical data, diagnosis vs F420
## 2024-06-27 02:27:57.92785 INFO::Creating boxplot for categorical data, diagnosis vs F5
## 2024-06-27 02:27:58.110675 INFO::Creating boxplot for categorical data, diagnosis vs F137
## 2024-06-27 02:27:58.289647 INFO::Creating boxplot for categorical data, diagnosis vs F215
## 2024-06-27 02:27:58.469631 INFO::Creating boxplot for categorical data, diagnosis vs F489
## 2024-06-27 02:27:58.666311 INFO::Creating boxplot for categorical data, diagnosis vs F220
## 2024-06-27 02:27:58.843968 INFO::Creating boxplot for categorical data, diagnosis vs F691
## 2024-06-27 02:27:59.023317 INFO::Creating boxplot for categorical data, diagnosis vs F381
## 2024-06-27 02:27:59.198938 INFO::Creating boxplot for categorical data, diagnosis vs F539
## 2024-06-27 02:27:59.372232 INFO::Creating boxplot for categorical data, diagnosis vs F490
## 2024-06-27 02:27:59.544828 INFO::Creating boxplot for categorical data, diagnosis vs F832
## 2024-06-27 02:27:59.734539 INFO::Creating boxplot for categorical data, diagnosis vs F396
## 2024-06-27 02:27:59.900826 INFO::Creating boxplot for categorical data, diagnosis vs F528
## 2024-06-27 02:28:00.066295 INFO::Creating boxplot for categorical data, diagnosis vs F234
## 2024-06-27 02:28:00.236039 INFO::Creating boxplot for categorical data, diagnosis vs F178
## 2024-06-27 02:28:00.421983 INFO::Creating boxplot for categorical data, diagnosis vs F761
## 2024-06-27 02:28:00.630691 INFO::Creating boxplot for categorical data, diagnosis vs F2
## 2024-06-27 02:28:00.803989 INFO::Creating boxplot for categorical data, diagnosis vs F260
## 2024-06-27 02:28:00.984928 INFO::Creating boxplot for categorical data, diagnosis vs F734
## 2024-06-27 02:28:01.16307 INFO::Creating boxplot for categorical data, diagnosis vs F429
## 2024-06-27 02:28:01.337868 INFO::Creating boxplot for categorical data, diagnosis vs F630
## 2024-06-27 02:28:01.521407 INFO::Creating boxplot for categorical data, diagnosis vs F817
## 2024-06-27 02:28:01.691036 INFO::Creating boxplot for categorical data, diagnosis vs F847
## 2024-06-27 02:28:01.861565 INFO::Creating boxplot for categorical data, diagnosis vs F896
## 2024-06-27 02:28:02.037765 INFO::Creating boxplot for categorical data, diagnosis vs F81
## 2024-06-27 02:28:02.207429 INFO::Creating boxplot for categorical data, diagnosis vs F110
## 2024-06-27 02:28:02.379185 INFO::Creating boxplot for categorical data, diagnosis vs F3
## 2024-06-27 02:28:02.567731 INFO::Creating boxplot for categorical data, diagnosis vs F33
## 2024-06-27 02:28:02.735223 INFO::Creating boxplot for categorical data, diagnosis vs F270
## 2024-06-27 02:28:02.902436 INFO::Creating boxplot for categorical data, diagnosis vs F278
## 2024-06-27 02:28:03.070691 INFO::Creating boxplot for categorical data, diagnosis vs F264
## 2024-06-27 02:28:03.25036 INFO::Creating boxplot for categorical data, diagnosis vs F90
## 2024-06-27 02:28:03.441558 INFO::Creating boxplot for categorical data, diagnosis vs F403
## 2024-06-27 02:28:03.616475 INFO::Creating boxplot for categorical data, diagnosis vs F727
## 2024-06-27 02:28:03.790062 INFO::Creating boxplot for categorical data, diagnosis vs F394
## 2024-06-27 02:28:03.95736 INFO::Creating boxplot for categorical data, diagnosis vs F800
## 2024-06-27 02:28:04.124296 INFO::Creating boxplot for categorical data, diagnosis vs F439
## 2024-06-27 02:28:04.293146 INFO::Creating boxplot for categorical data, diagnosis vs F554
## 2024-06-27 02:28:04.480833 INFO::Creating boxplot for categorical data, diagnosis vs F559
## 2024-06-27 02:28:04.647456 INFO::Creating boxplot for categorical data, diagnosis vs F548
## 2024-06-27 02:28:04.830341 INFO::Creating boxplot for categorical data, diagnosis vs F794
## 2024-06-27 02:28:05.013927 INFO::Creating boxplot for categorical data, diagnosis vs F45
## 2024-06-27 02:28:05.196704 INFO::Creating boxplot for categorical data, diagnosis vs F158
## 2024-06-27 02:28:05.397381 INFO::Creating boxplot for categorical data, diagnosis vs F477
## 2024-06-27 02:28:05.577315 INFO::Creating boxplot for categorical data, diagnosis vs F1
## 2024-06-27 02:28:05.755407 INFO::Creating boxplot for categorical data, diagnosis vs F862
## 2024-06-27 02:28:05.932222 INFO::Creating boxplot for categorical data, diagnosis vs F803
## 2024-06-27 02:28:06.108346 INFO::Creating boxplot for categorical data, diagnosis vs F751
## 2024-06-27 02:28:06.301906 INFO::Creating boxplot for categorical data, diagnosis vs F98
## 2024-06-27 02:28:06.47746 INFO::Creating boxplot for categorical data, diagnosis vs F22
## 2024-06-27 02:28:06.647685 INFO::Creating boxplot for categorical data, diagnosis vs F625
## 2024-06-27 02:28:06.82483 INFO::Creating boxplot for categorical data, diagnosis vs F206
## 2024-06-27 02:28:07.003571 INFO::Creating boxplot for categorical data, diagnosis vs F779
## 2024-06-27 02:28:07.182934 INFO::Creating boxplot for categorical data, diagnosis vs F532
## 2024-06-27 02:28:07.378641 INFO::Creating boxplot for categorical data, diagnosis vs F676
## 2024-06-27 02:28:07.553133 INFO::Creating boxplot for categorical data, diagnosis vs F644
## 2024-06-27 02:28:07.742737 INFO::Creating boxplot for categorical data, diagnosis vs F7
## 2024-06-27 02:28:07.922978 INFO::Creating boxplot for categorical data, diagnosis vs F596
## 2024-06-27 02:28:08.101325 INFO::Creating boxplot for categorical data, diagnosis vs F250
## 2024-06-27 02:28:08.294611 INFO::Creating boxplot for categorical data, diagnosis vs F462
## 2024-06-27 02:28:08.460151 INFO::Creating boxplot for categorical data, diagnosis vs F516
## 2024-06-27 02:28:08.635837 INFO::Creating boxplot for categorical data, diagnosis vs F659
## 2024-06-27 02:28:08.810082 INFO::Creating boxplot for categorical data, diagnosis vs F663
## 2024-06-27 02:28:08.981238 INFO::Creating boxplot for categorical data, diagnosis vs F837
## 2024-06-27 02:28:09.173837 INFO::Creating boxplot for categorical data, diagnosis vs F138
## 2024-06-27 02:28:09.347045 INFO::Creating boxplot for categorical data, diagnosis vs F445
## 2024-06-27 02:28:09.518774 INFO::Creating boxplot for categorical data, diagnosis vs F697
## 2024-06-27 02:28:09.704364 INFO::Creating boxplot for categorical data, diagnosis vs F225
## 2024-06-27 02:28:09.884122 INFO::Creating boxplot for categorical data, diagnosis vs F148
## 2024-06-27 02:28:10.062579 INFO::Creating boxplot for categorical data, diagnosis vs F448
## 2024-06-27 02:28:10.257853 INFO::Creating boxplot for categorical data, diagnosis vs F91
## 2024-06-27 02:28:10.434263 INFO::Creating boxplot for categorical data, diagnosis vs F123
## 2024-06-27 02:28:10.614078 INFO::Creating boxplot for categorical data, diagnosis vs F665
## 2024-06-27 02:28:10.791313 INFO::Creating boxplot for categorical data, diagnosis vs F845
## 2024-06-27 02:28:10.970386 INFO::Creating boxplot for categorical data, diagnosis vs F331
## 2024-06-27 02:28:11.16092 INFO::Creating boxplot for categorical data, diagnosis vs F361
## 2024-06-27 02:28:11.330728 INFO::Creating boxplot for categorical data, diagnosis vs F421
## 2024-06-27 02:28:11.543431 INFO::Creating boxplot for categorical data, diagnosis vs F277
## 2024-06-27 02:28:11.728995 INFO::Creating boxplot for categorical data, diagnosis vs F307
## 2024-06-27 02:28:11.912921 INFO::Creating boxplot for categorical data, diagnosis vs F503
## 2024-06-27 02:28:12.11216 INFO::Creating boxplot for categorical data, diagnosis vs F34
## 2024-06-27 02:28:12.286032 INFO::Creating boxplot for categorical data, diagnosis vs F649
## 2024-06-27 02:28:12.4607 INFO::Creating boxplot for categorical data, diagnosis vs F825
## 2024-06-27 02:28:12.638692 INFO::Creating boxplot for categorical data, diagnosis vs F298
## 2024-06-27 02:28:12.81381 INFO::Creating boxplot for categorical data, diagnosis vs F461
## 2024-06-27 02:28:13.014537 INFO::Creating boxplot for categorical data, diagnosis vs F242
## 2024-06-27 02:28:13.191831 INFO::Creating boxplot for categorical data, diagnosis vs F375
## 2024-06-27 02:28:13.364545 INFO::Creating boxplot for categorical data, diagnosis vs F648
## 2024-06-27 02:28:13.54392 INFO::Creating boxplot for categorical data, diagnosis vs F724
## 2024-06-27 02:28:13.719781 INFO::Creating boxplot for categorical data, diagnosis vs F678
## 2024-06-27 02:28:13.896422 INFO::Creating boxplot for categorical data, diagnosis vs F290
## 2024-06-27 02:28:14.155309 INFO::Creating boxplot for categorical data, diagnosis vs F743
## 2024-06-27 02:28:14.325433 INFO::Creating boxplot for categorical data, diagnosis vs F495
## 2024-06-27 02:28:14.496315 INFO::Creating boxplot for categorical data, diagnosis vs F261
## 2024-06-27 02:28:14.660594 INFO::Creating boxplot for categorical data, diagnosis vs F43
## 2024-06-27 02:28:14.826459 INFO::Creating boxplot for categorical data, diagnosis vs F714
## 2024-06-27 02:28:15.042401 INFO::Creating boxplot for categorical data, diagnosis vs F131
## 2024-06-27 02:28:15.219938 INFO::Creating boxplot for categorical data, diagnosis vs F150
## 2024-06-27 02:28:15.405223 INFO::Creating boxplot for categorical data, diagnosis vs F651
## 2024-06-27 02:28:15.590958 INFO::Creating boxplot for categorical data, diagnosis vs F798
## 2024-06-27 02:28:15.769411 INFO::Creating boxplot for categorical data, diagnosis vs F289
## 2024-06-27 02:28:15.954488 INFO::Creating boxplot for categorical data, diagnosis vs F661
## 2024-06-27 02:28:16.177553 INFO::Creating boxplot for categorical data, diagnosis vs F199
## 2024-06-27 02:28:16.362275 INFO::Creating boxplot for categorical data, diagnosis vs F406
## 2024-06-27 02:28:16.546834 INFO::Creating boxplot for categorical data, diagnosis vs F139
## 2024-06-27 02:28:16.731439 INFO::Creating boxplot for categorical data, diagnosis vs F506
## 2024-06-27 02:28:16.91691 INFO::Creating boxplot for categorical data, diagnosis vs F552
## 2024-06-27 02:28:17.13683 INFO::Creating boxplot for categorical data, diagnosis vs F94
## 2024-06-27 02:28:17.321975 INFO::Creating boxplot for categorical data, diagnosis vs F430
## 2024-06-27 02:28:17.486181 INFO::Creating boxplot for categorical data, diagnosis vs F639
## 2024-06-27 02:28:17.654506 INFO::Creating boxplot for categorical data, diagnosis vs F500
## 2024-06-27 02:28:17.834358 INFO::Creating boxplot for categorical data, diagnosis vs F609
## 2024-06-27 02:28:18.036143 INFO::Creating boxplot for categorical data, diagnosis vs F306
## 2024-06-27 02:28:18.222551 INFO::Creating boxplot for categorical data, diagnosis vs F507
## 2024-06-27 02:28:18.392119 INFO::Creating boxplot for categorical data, diagnosis vs F671
## 2024-06-27 02:28:18.564473 INFO::Creating boxplot for categorical data, diagnosis vs F894
## 2024-06-27 02:28:18.740718 INFO::Creating boxplot for categorical data, diagnosis vs F345
## 2024-06-27 02:28:18.921929 INFO::Creating boxplot for categorical data, diagnosis vs F801
## 2024-06-27 02:28:19.138975 INFO::Creating boxplot for categorical data, diagnosis vs F194
## 2024-06-27 02:28:19.325306 INFO::Creating boxplot for categorical data, diagnosis vs F195
## 2024-06-27 02:28:19.506753 INFO::Creating boxplot for categorical data, diagnosis vs F119
## 2024-06-27 02:28:19.687037 INFO::Creating boxplot for categorical data, diagnosis vs F120
## 2024-06-27 02:28:19.862675 INFO::Creating boxplot for categorical data, diagnosis vs F231
## 2024-06-27 02:28:20.072622 INFO::Creating boxplot for categorical data, diagnosis vs F311
## 2024-06-27 02:28:20.253637 INFO::Creating boxplot for categorical data, diagnosis vs F646
## 2024-06-27 02:28:20.429343 INFO::Creating boxplot for categorical data, diagnosis vs F814
## 2024-06-27 02:28:20.605929 INFO::Creating boxplot for categorical data, diagnosis vs F510
## 2024-06-27 02:28:20.786212 INFO::Creating boxplot for categorical data, diagnosis vs F398
## 2024-06-27 02:28:20.966716 INFO::Creating boxplot for categorical data, diagnosis vs F60
## 2024-06-27 02:28:21.192763 INFO::Creating boxplot for categorical data, diagnosis vs F153
## 2024-06-27 02:28:21.375903 INFO::Creating boxplot for categorical data, diagnosis vs F858
## 2024-06-27 02:28:21.555234 INFO::Creating boxplot for categorical data, diagnosis vs F775
## 2024-06-27 02:28:21.73348 INFO::Creating boxplot for categorical data, diagnosis vs F684
## 2024-06-27 02:28:21.912423 INFO::Creating boxplot for categorical data, diagnosis vs F384
## 2024-06-27 02:28:22.128634 INFO::Creating boxplot for categorical data, diagnosis vs F134
## 2024-06-27 02:28:22.323389 INFO::Creating boxplot for categorical data, diagnosis vs F670
## 2024-06-27 02:28:22.50656 INFO::Creating boxplot for categorical data, diagnosis vs F632
## 2024-06-27 02:28:22.702013 INFO::Creating boxplot for categorical data, diagnosis vs F721
## 2024-06-27 02:28:22.884091 INFO::Creating boxplot for categorical data, diagnosis vs F700
## 2024-06-27 02:28:23.09736 INFO::Creating boxplot for categorical data, diagnosis vs F376
## 2024-06-27 02:28:23.286625 INFO::Creating boxplot for categorical data, diagnosis vs F301
## 2024-06-27 02:28:23.464271 INFO::Creating boxplot for categorical data, diagnosis vs F27
## 2024-06-27 02:28:23.636051 INFO::Creating boxplot for categorical data, diagnosis vs F280
## 2024-06-27 02:28:23.811628 INFO::Creating boxplot for categorical data, diagnosis vs F391
## 2024-06-27 02:28:23.988805 INFO::Creating boxplot for categorical data, diagnosis vs F725
## 2024-06-27 02:28:24.19793 INFO::Creating boxplot for categorical data, diagnosis vs F186
## 2024-06-27 02:28:24.374252 INFO::Creating boxplot for categorical data, diagnosis vs F481
## 2024-06-27 02:28:24.548149 INFO::Creating boxplot for categorical data, diagnosis vs F333
## 2024-06-27 02:28:24.723535 INFO::Creating boxplot for categorical data, diagnosis vs F720
## 2024-06-27 02:28:24.894564 INFO::Creating boxplot for categorical data, diagnosis vs F520
## 2024-06-27 02:28:25.107454 INFO::Creating boxplot for categorical data, diagnosis vs F129
## 2024-06-27 02:28:25.283996 INFO::Creating boxplot for categorical data, diagnosis vs F204
## 2024-06-27 02:28:25.460933 INFO::Creating boxplot for categorical data, diagnosis vs F259
## 2024-06-27 02:28:25.636347 INFO::Creating boxplot for categorical data, diagnosis vs F831
## 2024-06-27 02:28:25.815488 INFO::Creating boxplot for categorical data, diagnosis vs F891
## 2024-06-27 02:28:26.02855 INFO::Creating boxplot for categorical data, diagnosis vs F262
## 2024-06-27 02:28:26.213888 INFO::Creating boxplot for categorical data, diagnosis vs F592
## 2024-06-27 02:28:26.390189 INFO::Creating boxplot for categorical data, diagnosis vs F343
## 2024-06-27 02:28:26.570076 INFO::Creating boxplot for categorical data, diagnosis vs F505
## 2024-06-27 02:28:26.759358 INFO::Creating boxplot for categorical data, diagnosis vs F622
## 2024-06-27 02:28:26.944292 INFO::Creating boxplot for categorical data, diagnosis vs F348
## 2024-06-27 02:28:27.16739 INFO::Creating boxplot for categorical data, diagnosis vs F133
## 2024-06-27 02:28:27.354979 INFO::Creating boxplot for categorical data, diagnosis vs F371
## 2024-06-27 02:28:27.537595 INFO::Creating boxplot for categorical data, diagnosis vs F113
## 2024-06-27 02:28:27.714197 INFO::Creating boxplot for categorical data, diagnosis vs F336
## 2024-06-27 02:28:27.890899 INFO::Creating boxplot for categorical data, diagnosis vs F399
## 2024-06-27 02:28:28.108005 INFO::Creating boxplot for categorical data, diagnosis vs F416
## 2024-06-27 02:28:28.292591 INFO::Creating boxplot for categorical data, diagnosis vs F657
## 2024-06-27 02:28:28.468265 INFO::Creating boxplot for categorical data, diagnosis vs F241
## 2024-06-27 02:28:28.653269 INFO::Creating boxplot for categorical data, diagnosis vs F95
## 2024-06-27 02:28:28.832924 INFO::Creating boxplot for categorical data, diagnosis vs F128
## 2024-06-27 02:28:29.043274 INFO::Creating boxplot for categorical data, diagnosis vs F595
## 2024-06-27 02:28:29.224853 INFO::Creating boxplot for categorical data, diagnosis vs F428
## 2024-06-27 02:28:29.40661 INFO::Creating boxplot for categorical data, diagnosis vs F796
## 2024-06-27 02:28:29.597308 INFO::Creating boxplot for categorical data, diagnosis vs F709
## 2024-06-27 02:28:29.769559 INFO::Creating boxplot for categorical data, diagnosis vs F602
## 2024-06-27 02:28:29.955532 INFO::Creating boxplot for categorical data, diagnosis vs F293
## 2024-06-27 02:28:30.170241 INFO::Creating boxplot for categorical data, diagnosis vs F867
## 2024-06-27 02:28:30.35075 INFO::Creating boxplot for categorical data, diagnosis vs F108
## 2024-06-27 02:28:30.529021 INFO::Creating boxplot for categorical data, diagnosis vs F846
## 2024-06-27 02:28:30.722652 INFO::Creating boxplot for categorical data, diagnosis vs F633
## 2024-06-27 02:28:30.908875 INFO::Creating boxplot for categorical data, diagnosis vs F564
## 2024-06-27 02:28:31.122825 INFO::Creating boxplot for categorical data, diagnosis vs F183
## 2024-06-27 02:28:31.298709 INFO::Creating boxplot for categorical data, diagnosis vs F647
## 2024-06-27 02:28:31.481944 INFO::Creating boxplot for categorical data, diagnosis vs F288
## 2024-06-27 02:28:31.664666 INFO::Creating boxplot for categorical data, diagnosis vs F159
## 2024-06-27 02:28:31.850116 INFO::Creating boxplot for categorical data, diagnosis vs F638
## 2024-06-27 02:28:32.068547 INFO::Creating boxplot for categorical data, diagnosis vs F484
## 2024-06-27 02:28:32.245735 INFO::Creating boxplot for categorical data, diagnosis vs F20
## 2024-06-27 02:28:32.424582 INFO::Creating boxplot for categorical data, diagnosis vs F19
## 2024-06-27 02:28:32.607585 INFO::Creating boxplot for categorical data, diagnosis vs F897
## 2024-06-27 02:28:32.792077 INFO::Creating boxplot for categorical data, diagnosis vs F442
## 2024-06-27 02:28:33.012448 INFO::Creating boxplot for categorical data, diagnosis vs F372
## 2024-06-27 02:28:33.196023 INFO::Creating boxplot for categorical data, diagnosis vs F771
## 2024-06-27 02:28:33.376137 INFO::Creating boxplot for categorical data, diagnosis vs F370
## 2024-06-27 02:28:33.560113 INFO::Creating boxplot for categorical data, diagnosis vs F620
## 2024-06-27 02:28:33.739671 INFO::Creating boxplot for categorical data, diagnosis vs F753
## 2024-06-27 02:28:33.924492 INFO::Creating boxplot for categorical data, diagnosis vs F568
## 2024-06-27 02:28:34.142865 INFO::Creating boxplot for categorical data, diagnosis vs F312
## 2024-06-27 02:28:34.318535 INFO::Creating boxplot for categorical data, diagnosis vs F485
## 2024-06-27 02:28:34.491232 INFO::Creating boxplot for categorical data, diagnosis vs F627
## 2024-06-27 02:28:34.661756 INFO::Creating boxplot for categorical data, diagnosis vs F72
## 2024-06-27 02:28:34.83982 INFO::Creating boxplot for categorical data, diagnosis vs F575
## 2024-06-27 02:28:35.155099 INFO::Creating boxplot for categorical data, diagnosis vs F332
## 2024-06-27 02:28:35.338837 INFO::Creating boxplot for categorical data, diagnosis vs F674
## 2024-06-27 02:28:35.522848 INFO::Creating boxplot for categorical data, diagnosis vs F537
## 2024-06-27 02:28:35.707669 INFO::Creating boxplot for categorical data, diagnosis vs F839
## 2024-06-27 02:28:35.894067 INFO::Creating boxplot for categorical data, diagnosis vs F715
## 2024-06-27 02:28:36.107376 INFO::Creating boxplot for categorical data, diagnosis vs F768
## 2024-06-27 02:28:36.303412 INFO::Creating boxplot for categorical data, diagnosis vs F202
## 2024-06-27 02:28:36.490435 INFO::Creating boxplot for categorical data, diagnosis vs F756
## 2024-06-27 02:28:36.67044 INFO::Creating boxplot for categorical data, diagnosis vs F536
## 2024-06-27 02:28:36.852268 INFO::Creating boxplot for categorical data, diagnosis vs F677
## 2024-06-27 02:28:37.033339 INFO::Creating boxplot for categorical data, diagnosis vs F435
## 2024-06-27 02:28:37.240291 INFO::Creating boxplot for categorical data, diagnosis vs F574
## 2024-06-27 02:28:37.421454 INFO::Creating boxplot for categorical data, diagnosis vs F70
## 2024-06-27 02:28:37.614111 INFO::Creating boxplot for categorical data, diagnosis vs F146
## 2024-06-27 02:28:37.801418 INFO::Creating boxplot for categorical data, diagnosis vs F236
## 2024-06-27 02:28:37.992048 INFO::Creating boxplot for categorical data, diagnosis vs F527
## 2024-06-27 02:28:38.203897 INFO::Creating boxplot for categorical data, diagnosis vs F624
## 2024-06-27 02:28:38.391379 INFO::Creating boxplot for categorical data, diagnosis vs F426
## 2024-06-27 02:28:38.580166 INFO::Creating boxplot for categorical data, diagnosis vs F880
## 2024-06-27 02:28:38.760664 INFO::Creating boxplot for categorical data, diagnosis vs F549
## 2024-06-27 02:28:38.942409 INFO::Creating boxplot for categorical data, diagnosis vs F49
## 2024-06-27 02:28:39.123641 INFO::Creating boxplot for categorical data, diagnosis vs F67
## 2024-06-27 02:28:39.34177 INFO::Creating boxplot for categorical data, diagnosis vs F491
## 2024-06-27 02:28:39.537648 INFO::Creating boxplot for categorical data, diagnosis vs F174
## 2024-06-27 02:28:39.731015 INFO::Creating boxplot for categorical data, diagnosis vs F254
## 2024-06-27 02:28:39.909805 INFO::Creating boxplot for categorical data, diagnosis vs F112
## 2024-06-27 02:28:40.0845 INFO::Creating boxplot for categorical data, diagnosis vs F235
## 2024-06-27 02:28:40.290005 INFO::Creating boxplot for categorical data, diagnosis vs F833
## 2024-06-27 02:28:40.476537 INFO::Creating boxplot for categorical data, diagnosis vs F752
## 2024-06-27 02:28:40.668377 INFO::Creating boxplot for categorical data, diagnosis vs F792
## 2024-06-27 02:28:40.844122 INFO::Creating boxplot for categorical data, diagnosis vs F422
## 2024-06-27 02:28:41.020557 INFO::Creating boxplot for categorical data, diagnosis vs F6
## 2024-06-27 02:28:41.222141 INFO::Creating boxplot for categorical data, diagnosis vs F463
## 2024-06-27 02:28:41.398865 INFO::Creating boxplot for categorical data, diagnosis vs F706
## 2024-06-27 02:28:41.575458 INFO::Creating boxplot for categorical data, diagnosis vs F642
## 2024-06-27 02:28:41.749921 INFO::Creating boxplot for categorical data, diagnosis vs F65
## 2024-06-27 02:28:41.921938 INFO::Creating boxplot for categorical data, diagnosis vs F102
## 2024-06-27 02:28:42.093472 INFO::Creating boxplot for categorical data, diagnosis vs F783
## 2024-06-27 02:28:42.298458 INFO::Creating boxplot for categorical data, diagnosis vs F478
## 2024-06-27 02:28:42.484522 INFO::Creating boxplot for categorical data, diagnosis vs F889
## 2024-06-27 02:28:42.677844 INFO::Creating boxplot for categorical data, diagnosis vs F350
## 2024-06-27 02:28:42.855082 INFO::Creating boxplot for categorical data, diagnosis vs F681
## 2024-06-27 02:28:43.034931 INFO::Creating boxplot for categorical data, diagnosis vs F748
## 2024-06-27 02:28:43.236332 INFO::Creating boxplot for categorical data, diagnosis vs F762
## 2024-06-27 02:28:43.405682 INFO::Creating boxplot for categorical data, diagnosis vs F852
## 2024-06-27 02:28:43.590028 INFO::Creating boxplot for categorical data, diagnosis vs F180
## 2024-06-27 02:28:43.760702 INFO::Creating boxplot for categorical data, diagnosis vs F248
## 2024-06-27 02:28:43.938836 INFO::Creating boxplot for categorical data, diagnosis vs F759
## 2024-06-27 02:28:44.142059 INFO::Creating boxplot for categorical data, diagnosis vs F824
## 2024-06-27 02:28:44.3401 INFO::Creating boxplot for categorical data, diagnosis vs F145
## 2024-06-27 02:28:44.525598 INFO::Creating boxplot for categorical data, diagnosis vs F16
## 2024-06-27 02:28:44.709682 INFO::Creating boxplot for categorical data, diagnosis vs F169
## 2024-06-27 02:28:44.892522 INFO::Creating boxplot for categorical data, diagnosis vs F392
## 2024-06-27 02:28:45.07556 INFO::Creating boxplot for categorical data, diagnosis vs F468
## 2024-06-27 02:28:45.282337 INFO::Creating boxplot for categorical data, diagnosis vs F476
## 2024-06-27 02:28:45.464512 INFO::Creating boxplot for categorical data, diagnosis vs F699
## 2024-06-27 02:28:45.63903 INFO::Creating boxplot for categorical data, diagnosis vs F735
## 2024-06-27 02:28:45.810889 INFO::Creating boxplot for categorical data, diagnosis vs F182
## 2024-06-27 02:28:45.989077 INFO::Creating boxplot for categorical data, diagnosis vs F64
## 2024-06-27 02:28:46.198153 INFO::Creating boxplot for categorical data, diagnosis vs F203
## 2024-06-27 02:28:46.374096 INFO::Creating boxplot for categorical data, diagnosis vs F877
## 2024-06-27 02:28:46.549577 INFO::Creating boxplot for categorical data, diagnosis vs F433
## 2024-06-27 02:28:46.724314 INFO::Creating boxplot for categorical data, diagnosis vs F739
## 2024-06-27 02:28:46.90031 INFO::Creating boxplot for categorical data, diagnosis vs F749
## 2024-06-27 02:28:47.10288 INFO::Creating boxplot for categorical data, diagnosis vs F382
## 2024-06-27 02:28:47.281852 INFO::Creating boxplot for categorical data, diagnosis vs F162
## 2024-06-27 02:28:47.465931 INFO::Creating boxplot for categorical data, diagnosis vs F438
## 2024-06-27 02:28:47.643047 INFO::Creating boxplot for categorical data, diagnosis vs F360
## 2024-06-27 02:28:47.817819 INFO::Creating boxplot for categorical data, diagnosis vs F56
## 2024-06-27 02:28:48.002348 INFO::Creating boxplot for categorical data, diagnosis vs F529
## 2024-06-27 02:28:48.218421 INFO::Creating boxplot for categorical data, diagnosis vs F48
## 2024-06-27 02:28:48.406599 INFO::Creating boxplot for categorical data, diagnosis vs F826
## 2024-06-27 02:28:48.586989 INFO::Creating boxplot for categorical data, diagnosis vs F488
## 2024-06-27 02:28:48.767764 INFO::Creating boxplot for categorical data, diagnosis vs F309
## 2024-06-27 02:28:48.957504 INFO::Creating boxplot for categorical data, diagnosis vs F834
## 2024-06-27 02:28:49.169719 INFO::Creating boxplot for categorical data, diagnosis vs F449
## 2024-06-27 02:28:49.356279 INFO::Creating boxplot for categorical data, diagnosis vs F77
## 2024-06-27 02:28:49.532373 INFO::Creating boxplot for categorical data, diagnosis vs F365
## 2024-06-27 02:28:49.710114 INFO::Creating boxplot for categorical data, diagnosis vs F346
## 2024-06-27 02:28:49.886903 INFO::Creating boxplot for categorical data, diagnosis vs F654
## 2024-06-27 02:28:50.090929 INFO::Creating boxplot for categorical data, diagnosis vs F79
## 2024-06-27 02:28:50.280316 INFO::Creating boxplot for categorical data, diagnosis vs F785
## 2024-06-27 02:28:50.476365 INFO::Creating boxplot for categorical data, diagnosis vs F415
## 2024-06-27 02:28:50.661471 INFO::Creating boxplot for categorical data, diagnosis vs F466
## 2024-06-27 02:28:50.843665 INFO::Creating boxplot for categorical data, diagnosis vs F643
## 2024-06-27 02:28:51.054297 INFO::Creating boxplot for categorical data, diagnosis vs F160
## 2024-06-27 02:28:51.244245 INFO::Creating boxplot for categorical data, diagnosis vs F69
## 2024-06-27 02:28:51.450688 INFO::Creating boxplot for categorical data, diagnosis vs F498
## 2024-06-27 02:28:51.639783 INFO::Creating boxplot for categorical data, diagnosis vs F207
## 2024-06-27 02:28:51.808904 INFO::Creating boxplot for categorical data, diagnosis vs F679
## 2024-06-27 02:28:51.97769 INFO::Creating boxplot for categorical data, diagnosis vs F618
## 2024-06-27 02:28:52.161395 INFO::Creating boxplot for categorical data, diagnosis vs F255
## 2024-06-27 02:28:52.328205 INFO::Creating boxplot for categorical data, diagnosis vs F267
## 2024-06-27 02:28:52.518257 INFO::Creating boxplot for categorical data, diagnosis vs F143
## 2024-06-27 02:28:52.700683 INFO::Creating boxplot for categorical data, diagnosis vs F286
## 2024-06-27 02:28:52.88219 INFO::Creating boxplot for categorical data, diagnosis vs F562
## 2024-06-27 02:28:53.093786 INFO::Creating boxplot for categorical data, diagnosis vs F100
## 2024-06-27 02:28:53.287032 INFO::Creating boxplot for categorical data, diagnosis vs F374
## 2024-06-27 02:28:53.466685 INFO::Creating boxplot for categorical data, diagnosis vs F535
## 2024-06-27 02:28:53.648935 INFO::Creating boxplot for categorical data, diagnosis vs F658
## 2024-06-27 02:28:53.828195 INFO::Creating boxplot for categorical data, diagnosis vs F707
## 2024-06-27 02:28:54.039536 INFO::Creating boxplot for categorical data, diagnosis vs F325
## 2024-06-27 02:28:54.214062 INFO::Creating boxplot for categorical data, diagnosis vs F89
## 2024-06-27 02:28:54.394786 INFO::Creating boxplot for categorical data, diagnosis vs F214
## 2024-06-27 02:28:54.579991 INFO::Creating boxplot for categorical data, diagnosis vs F578
## 2024-06-27 02:28:54.75933 INFO::Creating boxplot for categorical data, diagnosis vs F790
## 2024-06-27 02:28:54.968983 INFO::Creating boxplot for categorical data, diagnosis vs F265
## 2024-06-27 02:28:55.157105 INFO::Creating boxplot for categorical data, diagnosis vs F253
## 2024-06-27 02:28:55.318339 INFO::Creating boxplot for categorical data, diagnosis vs F294
## 2024-06-27 02:28:55.460445 INFO::Creating boxplot for categorical data, diagnosis vs F410
## 2024-06-27 02:28:55.636335 INFO::Creating boxplot for categorical data, diagnosis vs F614
## 2024-06-27 02:28:56.767309 INFO::Creating boxplot for categorical data, diagnosis vs F764
## 2024-06-27 02:28:56.94393 INFO::Creating boxplot for categorical data, diagnosis vs F59
## 2024-06-27 02:28:57.114682 INFO::Creating boxplot for categorical data, diagnosis vs F675
## 2024-06-27 02:28:57.288811 INFO::Creating boxplot for categorical data, diagnosis vs F441
## 2024-06-27 02:28:57.468282 INFO::Creating boxplot for categorical data, diagnosis vs F193
## 2024-06-27 02:28:57.645769 INFO::Creating boxplot for categorical data, diagnosis vs F689
## 2024-06-27 02:28:57.847089 INFO::Creating boxplot for categorical data, diagnosis vs F249
## 2024-06-27 02:28:58.021376 INFO::Creating boxplot for categorical data, diagnosis vs F821
## 2024-06-27 02:28:58.1976 INFO::Creating boxplot for categorical data, diagnosis vs F351
## 2024-06-27 02:28:58.373764 INFO::Creating boxplot for categorical data, diagnosis vs F66
## 2024-06-27 02:28:58.547601 INFO::Creating boxplot for categorical data, diagnosis vs F413
## 2024-06-27 02:28:58.741416 INFO::Creating boxplot for categorical data, diagnosis vs F172
## 2024-06-27 02:28:58.922308 INFO::Creating boxplot for categorical data, diagnosis vs F317
## 2024-06-27 02:28:59.10935 INFO::Creating boxplot for categorical data, diagnosis vs F167
## 2024-06-27 02:28:59.291276 INFO::Creating boxplot for categorical data, diagnosis vs F229
## 2024-06-27 02:28:59.468067 INFO::Creating boxplot for categorical data, diagnosis vs F243
## 2024-06-27 02:28:59.646875 INFO::Creating boxplot for categorical data, diagnosis vs F732
## 2024-06-27 02:28:59.838306 INFO::Creating boxplot for categorical data, diagnosis vs F467
## 2024-06-27 02:29:00.009377 INFO::Creating boxplot for categorical data, diagnosis vs F474
## 2024-06-27 02:29:00.187067 INFO::Creating boxplot for categorical data, diagnosis vs F156
## 2024-06-27 02:29:00.359003 INFO::Creating boxplot for categorical data, diagnosis vs F786
## 2024-06-27 02:29:00.5291 INFO::Creating boxplot for categorical data, diagnosis vs F216
## 2024-06-27 02:29:00.721324 INFO::Creating boxplot for categorical data, diagnosis vs F85
## 2024-06-27 02:29:00.894052 INFO::Creating boxplot for categorical data, diagnosis vs F621
## 2024-06-27 02:29:01.068562 INFO::Creating boxplot for categorical data, diagnosis vs F558
## 2024-06-27 02:29:01.238894 INFO::Creating boxplot for categorical data, diagnosis vs F582
## 2024-06-27 02:29:01.408065 INFO::Creating boxplot for categorical data, diagnosis vs F898
## 2024-06-27 02:29:01.580005 INFO::Creating boxplot for categorical data, diagnosis vs F402
## 2024-06-27 02:29:01.772025 INFO::Creating boxplot for categorical data, diagnosis vs F71
## 2024-06-27 02:29:01.952314 INFO::Creating boxplot for categorical data, diagnosis vs F99
## 2024-06-27 02:29:02.124446 INFO::Creating boxplot for categorical data, diagnosis vs F366
## 2024-06-27 02:29:02.299041 INFO::Creating boxplot for categorical data, diagnosis vs F778
## 2024-06-27 02:29:02.473964 INFO::Creating boxplot for categorical data, diagnosis vs F188
## 2024-06-27 02:29:02.653681 INFO::Creating boxplot for categorical data, diagnosis vs F857
## 2024-06-27 02:29:02.835425 INFO::Creating boxplot for categorical data, diagnosis vs F440
## 2024-06-27 02:29:03.009508 INFO::Creating boxplot for categorical data, diagnosis vs F799
## 2024-06-27 02:29:03.185984 INFO::Creating boxplot for categorical data, diagnosis vs F482
## 2024-06-27 02:29:03.363996 INFO::Creating boxplot for categorical data, diagnosis vs F212
## 2024-06-27 02:29:03.542831 INFO::Creating boxplot for categorical data, diagnosis vs F882
## 2024-06-27 02:29:03.732045 INFO::Creating boxplot for categorical data, diagnosis vs F599
## 2024-06-27 02:29:03.907763 INFO::Creating boxplot for categorical data, diagnosis vs F302
## 2024-06-27 02:29:04.086634 INFO::Creating boxplot for categorical data, diagnosis vs F543
## 2024-06-27 02:29:04.26424 INFO::Creating boxplot for categorical data, diagnosis vs F269
## 2024-06-27 02:29:04.44628 INFO::Creating boxplot for categorical data, diagnosis vs F650
## 2024-06-27 02:29:04.630649 INFO::Creating boxplot for categorical data, diagnosis vs F456
## 2024-06-27 02:29:04.79869 INFO::Creating boxplot for categorical data, diagnosis vs F573
## 2024-06-27 02:29:04.971718 INFO::Creating boxplot for categorical data, diagnosis vs F8
## 2024-06-27 02:29:05.156822 INFO::Creating boxplot for categorical data, diagnosis vs F810
## 2024-06-27 02:29:05.343116 INFO::Creating boxplot for categorical data, diagnosis vs F401
## 2024-06-27 02:29:05.543475 INFO::Creating boxplot for categorical data, diagnosis vs F606
## 2024-06-27 02:29:05.713926 INFO::Creating boxplot for categorical data, diagnosis vs F662
## 2024-06-27 02:29:05.88264 INFO::Creating boxplot for categorical data, diagnosis vs F765
## 2024-06-27 02:29:06.047855 INFO::Creating boxplot for categorical data, diagnosis vs F887
## 2024-06-27 02:29:06.214525 INFO::Creating boxplot for categorical data, diagnosis vs F770
## 2024-06-27 02:29:06.387153 INFO::Creating boxplot for categorical data, diagnosis vs F469
## 2024-06-27 02:29:06.574193 INFO::Creating boxplot for categorical data, diagnosis vs F86
## 2024-06-27 02:29:06.751711 INFO::Creating boxplot for categorical data, diagnosis vs F400
## 2024-06-27 02:29:06.920036 INFO::Creating boxplot for categorical data, diagnosis vs F579
## 2024-06-27 02:29:07.086028 INFO::Creating boxplot for categorical data, diagnosis vs F871
## 2024-06-27 02:29:07.260662 INFO::Creating boxplot for categorical data, diagnosis vs F37
## 2024-06-27 02:29:07.446857 INFO::Creating boxplot for categorical data, diagnosis vs F446
## 2024-06-27 02:29:07.614495 INFO::Creating boxplot for categorical data, diagnosis vs F218
## 2024-06-27 02:29:07.783397 INFO::Creating boxplot for categorical data, diagnosis vs F321
## 2024-06-27 02:29:07.95619 INFO::Creating boxplot for categorical data, diagnosis vs F487
## 2024-06-27 02:29:08.131093 INFO::Creating boxplot for categorical data, diagnosis vs F740
## 2024-06-27 02:29:08.312044 INFO::Creating boxplot for categorical data, diagnosis vs F141
## 2024-06-27 02:29:08.501414 INFO::Creating boxplot for categorical data, diagnosis vs F327
## 2024-06-27 02:29:08.676769 INFO::Creating boxplot for categorical data, diagnosis vs F196
## 2024-06-27 02:29:08.861752 INFO::Creating boxplot for categorical data, diagnosis vs F883
## 2024-06-27 02:29:09.051244 INFO::Creating boxplot for categorical data, diagnosis vs F279
## 2024-06-27 02:29:09.234307 INFO::Creating boxplot for categorical data, diagnosis vs F838
## 2024-06-27 02:29:09.420557 INFO::Creating boxplot for categorical data, diagnosis vs F451
## 2024-06-27 02:29:09.598715 INFO::Creating boxplot for categorical data, diagnosis vs F854
## 2024-06-27 02:29:09.771394 INFO::Creating boxplot for categorical data, diagnosis vs F434
## 2024-06-27 02:29:09.947261 INFO::Creating boxplot for categorical data, diagnosis vs F519
## 2024-06-27 02:29:10.114138 INFO::Creating boxplot for categorical data, diagnosis vs F694
## 2024-06-27 02:29:10.305365 INFO::Creating boxplot for categorical data, diagnosis vs F561
## 2024-06-27 02:29:10.489804 INFO::Creating boxplot for categorical data, diagnosis vs F10
## 2024-06-27 02:29:10.665857 INFO::Creating boxplot for categorical data, diagnosis vs F303
## 2024-06-27 02:29:10.852851 INFO::Creating boxplot for categorical data, diagnosis vs F512
## 2024-06-27 02:29:11.027496 INFO::Creating boxplot for categorical data, diagnosis vs F645
## 2024-06-27 02:29:11.201436 INFO::Creating boxplot for categorical data, diagnosis vs F793
## 2024-06-27 02:29:11.392797 INFO::Creating boxplot for categorical data, diagnosis vs F404
## 2024-06-27 02:29:11.572596 INFO::Creating boxplot for categorical data, diagnosis vs F362
## 2024-06-27 02:29:11.763379 INFO::Creating boxplot for categorical data, diagnosis vs F525
## 2024-06-27 02:29:11.932821 INFO::Creating boxplot for categorical data, diagnosis vs F742
## 2024-06-27 02:29:12.105295 INFO::Creating boxplot for categorical data, diagnosis vs F276
## 2024-06-27 02:29:12.295495 INFO::Creating boxplot for categorical data, diagnosis vs F499
## 2024-06-27 02:29:12.466551 INFO::Creating boxplot for categorical data, diagnosis vs F328
## 2024-06-27 02:29:12.638324 INFO::Creating boxplot for categorical data, diagnosis vs F787
## 2024-06-27 02:29:12.810643 INFO::Creating boxplot for categorical data, diagnosis vs F30
## 2024-06-27 02:29:12.984254 INFO::Creating boxplot for categorical data, diagnosis vs F122
## 2024-06-27 02:29:13.173585 INFO::Creating boxplot for categorical data, diagnosis vs F619
## 2024-06-27 02:29:13.342163 INFO::Creating boxplot for categorical data, diagnosis vs F572
## 2024-06-27 02:29:13.514556 INFO::Creating boxplot for categorical data, diagnosis vs F47
## 2024-06-27 02:29:13.692346 INFO::Creating boxplot for categorical data, diagnosis vs F570
## 2024-06-27 02:29:13.866118 INFO::Creating boxplot for categorical data, diagnosis vs F26
## 2024-06-27 02:29:14.055544 INFO::Creating boxplot for categorical data, diagnosis vs F252
## 2024-06-27 02:29:14.228502 INFO::Creating boxplot for categorical data, diagnosis vs F117
## 2024-06-27 02:29:14.397902 INFO::Creating boxplot for categorical data, diagnosis vs F683
## 2024-06-27 02:29:14.567544 INFO::Creating boxplot for categorical data, diagnosis vs F395
## 2024-06-27 02:29:14.741221 INFO::Creating boxplot for categorical data, diagnosis vs F822
## 2024-06-27 02:29:14.925227 INFO::Creating boxplot for categorical data, diagnosis vs F46
## 2024-06-27 02:29:15.123157 INFO::Creating boxplot for categorical data, diagnosis vs F154
## 2024-06-27 02:29:15.309663 INFO::Creating boxplot for categorical data, diagnosis vs F540
## 2024-06-27 02:29:15.480435 INFO::Creating boxplot for categorical data, diagnosis vs F884
## 2024-06-27 02:29:15.652678 INFO::Creating boxplot for categorical data, diagnosis vs F368
## 2024-06-27 02:29:15.834105 INFO::Creating boxplot for categorical data, diagnosis vs F607
## 2024-06-27 02:29:16.031349 INFO::Creating boxplot for categorical data, diagnosis vs F111
## 2024-06-27 02:29:16.207258 INFO::Creating boxplot for categorical data, diagnosis vs F745
## 2024-06-27 02:29:16.382435 INFO::Creating boxplot for categorical data, diagnosis vs F673
## 2024-06-27 02:29:16.562851 INFO::Creating boxplot for categorical data, diagnosis vs F92
## 2024-06-27 02:29:16.736213 INFO::Creating boxplot for categorical data, diagnosis vs F493
## 2024-06-27 02:29:17.051171 INFO::Creating boxplot for categorical data, diagnosis vs F835
## 2024-06-27 02:29:17.228138 INFO::Creating boxplot for categorical data, diagnosis vs F872
## 2024-06-27 02:29:17.403241 INFO::Creating boxplot for categorical data, diagnosis vs F879
## 2024-06-27 02:29:17.611331 INFO::Creating boxplot for categorical data, diagnosis vs F432
## 2024-06-27 02:29:17.805518 INFO::Creating boxplot for categorical data, diagnosis vs F518
## 2024-06-27 02:29:18.000774 INFO::Creating boxplot for categorical data, diagnosis vs F44
## 2024-06-27 02:29:18.205122 INFO::Creating boxplot for categorical data, diagnosis vs F240
## 2024-06-27 02:29:18.388298 INFO::Creating boxplot for categorical data, diagnosis vs F819
## 2024-06-27 02:29:18.561271 INFO::Creating boxplot for categorical data, diagnosis vs F411
## 2024-06-27 02:29:18.730119 INFO::Creating boxplot for categorical data, diagnosis vs F353
## 2024-06-27 02:29:18.902945 INFO::Creating boxplot for categorical data, diagnosis vs F763
## 2024-06-27 02:29:19.097526 INFO::Creating boxplot for categorical data, diagnosis vs F97
## 2024-06-27 02:29:19.262477 INFO::Creating boxplot for categorical data, diagnosis vs F40
## 2024-06-27 02:29:19.392749 INFO::Creating boxplot for categorical data, diagnosis vs F652
## 2024-06-27 02:29:19.528237 INFO::Creating boxplot for categorical data, diagnosis vs F789
## 2024-06-27 02:29:19.71628 INFO::Creating boxplot for categorical data, diagnosis vs F25
## 2024-06-27 02:29:19.919269 INFO::Creating boxplot for categorical data, diagnosis vs F256
## 2024-06-27 02:29:20.111077 INFO::Creating boxplot for categorical data, diagnosis vs F423
## 2024-06-27 02:29:20.294423 INFO::Creating boxplot for categorical data, diagnosis vs F594
## 2024-06-27 02:29:20.469996 INFO::Creating boxplot for categorical data, diagnosis vs F201
## 2024-06-27 02:29:20.64806 INFO::Creating boxplot for categorical data, diagnosis vs F813
## 2024-06-27 02:29:20.829502 INFO::Creating boxplot for categorical data, diagnosis vs F653
## 2024-06-27 02:29:21.03296 INFO::Creating boxplot for categorical data, diagnosis vs F524
## 2024-06-27 02:29:21.206399 INFO::Creating boxplot for categorical data, diagnosis vs F777
## 2024-06-27 02:29:21.37838 INFO::Creating boxplot for categorical data, diagnosis vs F226
## 2024-06-27 02:29:21.558278 INFO::Creating boxplot for categorical data, diagnosis vs F227
## 2024-06-27 02:29:21.742332 INFO::Creating boxplot for categorical data, diagnosis vs F521
## 2024-06-27 02:29:21.943077 INFO::Creating boxplot for categorical data, diagnosis vs F14
## 2024-06-27 02:29:22.121692 INFO::Creating boxplot for categorical data, diagnosis vs F310
## 2024-06-27 02:29:22.294217 INFO::Creating boxplot for categorical data, diagnosis vs F452
## 2024-06-27 02:29:22.470226 INFO::Creating boxplot for categorical data, diagnosis vs F52
## 2024-06-27 02:29:22.644529 INFO::Creating boxplot for categorical data, diagnosis vs F53
## 2024-06-27 02:29:22.81448 INFO::Creating boxplot for categorical data, diagnosis vs F844
## 2024-06-27 02:29:23.015393 INFO::Creating boxplot for categorical data, diagnosis vs F31
## 2024-06-27 02:29:23.187398 INFO::Creating boxplot for categorical data, diagnosis vs F795
## 2024-06-27 02:29:23.358946 INFO::Creating boxplot for categorical data, diagnosis vs F766
## 2024-06-27 02:29:23.529214 INFO::Creating boxplot for categorical data, diagnosis vs F342
## 2024-06-27 02:29:23.701305 INFO::Creating boxplot for categorical data, diagnosis vs F408
## 2024-06-27 02:29:23.900725 INFO::Creating boxplot for categorical data, diagnosis vs F282
## 2024-06-27 02:29:24.079878 INFO::Creating boxplot for categorical data, diagnosis vs F508
## 2024-06-27 02:29:24.262818 INFO::Creating boxplot for categorical data, diagnosis vs F805
## 2024-06-27 02:29:24.442356 INFO::Creating boxplot for categorical data, diagnosis vs F337
## 2024-06-27 02:29:24.620267 INFO::Creating boxplot for categorical data, diagnosis vs F820
## 2024-06-27 02:29:24.814056 INFO::Creating boxplot for categorical data, diagnosis vs F593
## 2024-06-27 02:29:25.009173 INFO::Creating boxplot for categorical data, diagnosis vs F701
## 2024-06-27 02:29:25.191939 INFO::Creating boxplot for categorical data, diagnosis vs F459
## 2024-06-27 02:29:25.385845 INFO::Creating boxplot for categorical data, diagnosis vs F305
## 2024-06-27 02:29:25.56591 INFO::Creating boxplot for categorical data, diagnosis vs F142
## 2024-06-27 02:29:25.748648 INFO::Creating boxplot for categorical data, diagnosis vs F534
## 2024-06-27 02:29:25.96361 INFO::Creating boxplot for categorical data, diagnosis vs F135
## 2024-06-27 02:29:26.146055 INFO::Creating boxplot for categorical data, diagnosis vs F702
## 2024-06-27 02:29:26.331634 INFO::Creating boxplot for categorical data, diagnosis vs F776
## 2024-06-27 02:29:26.515276 INFO::Creating boxplot for categorical data, diagnosis vs F295
## 2024-06-27 02:29:26.692908 INFO::Creating boxplot for categorical data, diagnosis vs F355
## 2024-06-27 02:29:26.891454 INFO::Creating boxplot for categorical data, diagnosis vs F797
## 2024-06-27 02:29:27.073207 INFO::Creating boxplot for categorical data, diagnosis vs F13
## 2024-06-27 02:29:27.241099 INFO::Creating boxplot for categorical data, diagnosis vs F356
## 2024-06-27 02:29:27.410479 INFO::Creating boxplot for categorical data, diagnosis vs F359
## 2024-06-27 02:29:27.574055 INFO::Creating boxplot for categorical data, diagnosis vs F121
## 2024-06-27 02:29:27.741968 INFO::Creating boxplot for categorical data, diagnosis vs F850
## 2024-06-27 02:29:27.94549 INFO::Creating boxplot for categorical data, diagnosis vs F899
## 2024-06-27 02:29:28.128691 INFO::Creating boxplot for categorical data, diagnosis vs F628
## 2024-06-27 02:29:28.316544 INFO::Creating boxplot for categorical data, diagnosis vs F843
## 2024-06-27 02:29:28.511026 INFO::Creating boxplot for categorical data, diagnosis vs F107
## 2024-06-27 02:29:28.699627 INFO::Creating boxplot for categorical data, diagnosis vs F287
## 2024-06-27 02:29:28.892705 INFO::Creating boxplot for categorical data, diagnosis vs F165
## 2024-06-27 02:29:29.018611 INFO::Creating boxplot for categorical data, diagnosis vs F557
## 2024-06-27 02:29:29.124658 INFO::Creating boxplot for categorical data, diagnosis vs F127
## 2024-06-27 02:29:29.239388 INFO::Creating boxplot for categorical data, diagnosis vs F299
## 2024-06-27 02:29:29.374679 INFO::Creating boxplot for categorical data, diagnosis vs F497
## 2024-06-27 02:29:29.522757 INFO::Creating boxplot for categorical data, diagnosis vs F711
## 2024-06-27 02:29:29.635207 INFO::Creating boxplot for categorical data, diagnosis vs F319
## 2024-06-27 02:29:29.741371 INFO::Creating boxplot for categorical data, diagnosis vs F271
## 2024-06-27 02:29:29.884463 INFO::Creating boxplot for categorical data, diagnosis vs F157
## 2024-06-27 02:29:30.071406 INFO::Creating boxplot for categorical data, diagnosis vs F560
## 2024-06-27 02:29:30.265595 INFO::Creating boxplot for categorical data, diagnosis vs F680
## 2024-06-27 02:29:30.482924 INFO::Creating boxplot for categorical data, diagnosis vs F580
## 2024-06-27 02:29:30.663848 INFO::Creating boxplot for categorical data, diagnosis vs F152
## 2024-06-27 02:29:30.841461 INFO::Creating boxplot for categorical data, diagnosis vs F12
## 2024-06-27 02:29:31.039325 INFO::Creating boxplot for categorical data, diagnosis vs F324
## 2024-06-27 02:29:31.245899 INFO::Creating boxplot for categorical data, diagnosis vs F893
## 2024-06-27 02:29:31.448258 INFO::Creating boxplot for categorical data, diagnosis vs F318
## 2024-06-27 02:29:31.622313 INFO::Creating boxplot for categorical data, diagnosis vs F784
## 2024-06-27 02:29:31.793408 INFO::Creating boxplot for categorical data, diagnosis vs F567
## 2024-06-27 02:29:31.96712 INFO::Creating boxplot for categorical data, diagnosis vs F457
## 2024-06-27 02:29:32.143627 INFO::Creating boxplot for categorical data, diagnosis vs F708
## 2024-06-27 02:29:32.345963 INFO::Creating boxplot for categorical data, diagnosis vs F669
## 2024-06-27 02:29:32.524434 INFO::Creating boxplot for categorical data, diagnosis vs F87
## 2024-06-27 02:29:34.588401 INFO::Plotting data for metadata number 2, antibiotics
## 2024-06-27 02:29:34.591534 INFO::Creating boxplot for categorical data, antibiotics vs F663
## 2024-06-27 02:29:34.781843 INFO::Creating boxplot for categorical data, antibiotics vs F838
## 2024-06-27 02:29:34.975299 INFO::Creating boxplot for categorical data, antibiotics vs F764
## 2024-06-27 02:29:35.164255 INFO::Creating boxplot for categorical data, antibiotics vs F880
## 2024-06-27 02:29:35.354321 INFO::Creating boxplot for categorical data, antibiotics vs F751
## 2024-06-27 02:29:35.575339 INFO::Creating boxplot for categorical data, antibiotics vs F288
## 2024-06-27 02:29:35.759047 INFO::Creating boxplot for categorical data, antibiotics vs F65
## 2024-06-27 02:29:35.948904 INFO::Creating boxplot for categorical data, antibiotics vs F742
## 2024-06-27 02:29:36.148471 INFO::Creating boxplot for categorical data, antibiotics vs F528
## 2024-06-27 02:29:36.341816 INFO::Creating boxplot for categorical data, antibiotics vs F790
## 2024-06-27 02:29:36.56323 INFO::Creating boxplot for categorical data, antibiotics vs F777
## 2024-06-27 02:29:36.741135 INFO::Creating boxplot for categorical data, antibiotics vs F178
## 2024-06-27 02:29:36.923192 INFO::Creating boxplot for categorical data, antibiotics vs F139
## 2024-06-27 02:29:37.102569 INFO::Creating boxplot for categorical data, antibiotics vs F202
## 2024-06-27 02:29:37.393744 INFO::Creating boxplot for categorical data, antibiotics vs F220
## 2024-06-27 02:29:37.60991 INFO::Creating boxplot for categorical data, antibiotics vs F397
## 2024-06-27 02:29:37.796745 INFO::Creating boxplot for categorical data, antibiotics vs F882
## 2024-06-27 02:29:37.977837 INFO::Creating boxplot for categorical data, antibiotics vs F446
## 2024-06-27 02:29:38.157841 INFO::Creating boxplot for categorical data, antibiotics vs F418
## 2024-06-27 02:29:38.339609 INFO::Creating boxplot for categorical data, antibiotics vs F133
## 2024-06-27 02:29:38.570269 INFO::Creating boxplot for categorical data, antibiotics vs F696
## 2024-06-27 02:29:38.76021 INFO::Creating boxplot for categorical data, antibiotics vs F548
## 2024-06-27 02:29:38.947746 INFO::Creating boxplot for categorical data, antibiotics vs F536
## 2024-06-27 02:29:39.132874 INFO::Creating boxplot for categorical data, antibiotics vs F194
## 2024-06-27 02:29:39.319378 INFO::Creating boxplot for categorical data, antibiotics vs F34
## 2024-06-27 02:29:39.550318 INFO::Creating boxplot for categorical data, antibiotics vs F153
## 2024-06-27 02:29:39.740727 INFO::Creating boxplot for categorical data, antibiotics vs F400
## 2024-06-27 02:29:39.928607 INFO::Creating boxplot for categorical data, antibiotics vs F794
## 2024-06-27 02:29:40.119881 INFO::Creating boxplot for categorical data, antibiotics vs F396
## 2024-06-27 02:29:40.305983 INFO::Creating boxplot for categorical data, antibiotics vs F182
## 2024-06-27 02:29:40.537375 INFO::Creating boxplot for categorical data, antibiotics vs F719
## 2024-06-27 02:29:40.730728 INFO::Creating boxplot for categorical data, antibiotics vs F109
## 2024-06-27 02:29:40.917503 INFO::Creating boxplot for categorical data, antibiotics vs F180
## 2024-06-27 02:29:41.101666 INFO::Creating boxplot for categorical data, antibiotics vs F552
## 2024-06-27 02:29:41.2873 INFO::Creating boxplot for categorical data, antibiotics vs F789
## 2024-06-27 02:29:41.523307 INFO::Creating boxplot for categorical data, antibiotics vs F893
## 2024-06-27 02:29:41.716572 INFO::Creating boxplot for categorical data, antibiotics vs F834
## 2024-06-27 02:29:41.905413 INFO::Creating boxplot for categorical data, antibiotics vs F889
## 2024-06-27 02:29:42.094155 INFO::Creating boxplot for categorical data, antibiotics vs F143
## 2024-06-27 02:29:42.283124 INFO::Creating boxplot for categorical data, antibiotics vs F224
## 2024-06-27 02:29:42.518994 INFO::Creating boxplot for categorical data, antibiotics vs F5
## 2024-06-27 02:29:42.712436 INFO::Creating boxplot for categorical data, antibiotics vs F873
## 2024-06-27 02:29:42.912757 INFO::Creating boxplot for categorical data, antibiotics vs F452
## 2024-06-27 02:29:43.105779 INFO::Creating boxplot for categorical data, antibiotics vs F681
## 2024-06-27 02:29:43.308879 INFO::Creating boxplot for categorical data, antibiotics vs F468
## 2024-06-27 02:29:43.545957 INFO::Creating boxplot for categorical data, antibiotics vs F731
## 2024-06-27 02:29:43.73523 INFO::Creating boxplot for categorical data, antibiotics vs F479
## 2024-06-27 02:29:43.924127 INFO::Creating boxplot for categorical data, antibiotics vs F520
## 2024-06-27 02:29:44.11202 INFO::Creating boxplot for categorical data, antibiotics vs F649
## 2024-06-27 02:29:44.298671 INFO::Creating boxplot for categorical data, antibiotics vs F259
## 2024-06-27 02:29:44.53231 INFO::Creating boxplot for categorical data, antibiotics vs F186
## 2024-06-27 02:29:44.722638 INFO::Creating boxplot for categorical data, antibiotics vs F312
## 2024-06-27 02:29:44.912004 INFO::Creating boxplot for categorical data, antibiotics vs F477
## 2024-06-27 02:29:45.098796 INFO::Creating boxplot for categorical data, antibiotics vs F4
## 2024-06-27 02:29:45.298065 INFO::Creating boxplot for categorical data, antibiotics vs F632
## 2024-06-27 02:29:45.533959 INFO::Creating boxplot for categorical data, antibiotics vs F31
## 2024-06-27 02:29:45.726879 INFO::Creating boxplot for categorical data, antibiotics vs F184
## 2024-06-27 02:29:45.916275 INFO::Creating boxplot for categorical data, antibiotics vs F7
## 2024-06-27 02:29:46.112008 INFO::Creating boxplot for categorical data, antibiotics vs F213
## 2024-06-27 02:29:46.322488 INFO::Creating boxplot for categorical data, antibiotics vs F691
## 2024-06-27 02:29:46.549378 INFO::Creating boxplot for categorical data, antibiotics vs F828
## 2024-06-27 02:29:46.737397 INFO::Creating boxplot for categorical data, antibiotics vs F831
## 2024-06-27 02:29:46.924233 INFO::Creating boxplot for categorical data, antibiotics vs F315
## 2024-06-27 02:29:47.107989 INFO::Creating boxplot for categorical data, antibiotics vs F159
## 2024-06-27 02:29:47.292121 INFO::Creating boxplot for categorical data, antibiotics vs F331
## 2024-06-27 02:29:47.525439 INFO::Creating boxplot for categorical data, antibiotics vs F757
## 2024-06-27 02:29:47.713788 INFO::Creating boxplot for categorical data, antibiotics vs F167
## 2024-06-27 02:29:47.905284 INFO::Creating boxplot for categorical data, antibiotics vs F85
## 2024-06-27 02:29:48.091742 INFO::Creating boxplot for categorical data, antibiotics vs F80
## 2024-06-27 02:29:48.286397 INFO::Creating boxplot for categorical data, antibiotics vs F105
## 2024-06-27 02:29:48.534647 INFO::Creating boxplot for categorical data, antibiotics vs F674
## 2024-06-27 02:29:48.728829 INFO::Creating boxplot for categorical data, antibiotics vs F50
## 2024-06-27 02:29:48.917596 INFO::Creating boxplot for categorical data, antibiotics vs F164
## 2024-06-27 02:29:49.103373 INFO::Creating boxplot for categorical data, antibiotics vs F840
## 2024-06-27 02:29:49.313461 INFO::Creating boxplot for categorical data, antibiotics vs F232
## 2024-06-27 02:29:49.520946 INFO::Creating boxplot for categorical data, antibiotics vs F872
## 2024-06-27 02:29:49.711886 INFO::Creating boxplot for categorical data, antibiotics vs F54
## 2024-06-27 02:29:49.912359 INFO::Creating boxplot for categorical data, antibiotics vs F365
## 2024-06-27 02:29:50.101506 INFO::Creating boxplot for categorical data, antibiotics vs F499
## 2024-06-27 02:29:50.324818 INFO::Creating boxplot for categorical data, antibiotics vs F510
## 2024-06-27 02:29:50.515276 INFO::Creating boxplot for categorical data, antibiotics vs F716
## 2024-06-27 02:29:50.703697 INFO::Creating boxplot for categorical data, antibiotics vs F454
## 2024-06-27 02:29:50.904324 INFO::Creating boxplot for categorical data, antibiotics vs F52
## 2024-06-27 02:29:51.095081 INFO::Creating boxplot for categorical data, antibiotics vs F273
## 2024-06-27 02:29:51.32716 INFO::Creating boxplot for categorical data, antibiotics vs F474
## 2024-06-27 02:29:51.520621 INFO::Creating boxplot for categorical data, antibiotics vs F267
## 2024-06-27 02:29:51.709356 INFO::Creating boxplot for categorical data, antibiotics vs F253
## 2024-06-27 02:29:51.896146 INFO::Creating boxplot for categorical data, antibiotics vs F247
## 2024-06-27 02:29:52.083312 INFO::Creating boxplot for categorical data, antibiotics vs F708
## 2024-06-27 02:29:52.30765 INFO::Creating boxplot for categorical data, antibiotics vs F438
## 2024-06-27 02:29:52.498833 INFO::Creating boxplot for categorical data, antibiotics vs F450
## 2024-06-27 02:29:52.686772 INFO::Creating boxplot for categorical data, antibiotics vs F666
## 2024-06-27 02:29:52.874215 INFO::Creating boxplot for categorical data, antibiotics vs F720
## 2024-06-27 02:29:53.057066 INFO::Creating boxplot for categorical data, antibiotics vs F48
## 2024-06-27 02:29:53.289788 INFO::Creating boxplot for categorical data, antibiotics vs F371
## 2024-06-27 02:29:53.480278 INFO::Creating boxplot for categorical data, antibiotics vs F423
## 2024-06-27 02:29:53.669818 INFO::Creating boxplot for categorical data, antibiotics vs F190
## 2024-06-27 02:29:53.855534 INFO::Creating boxplot for categorical data, antibiotics vs F351
## 2024-06-27 02:29:54.047583 INFO::Creating boxplot for categorical data, antibiotics vs F394
## 2024-06-27 02:29:54.279625 INFO::Creating boxplot for categorical data, antibiotics vs F581
## 2024-06-27 02:29:54.472656 INFO::Creating boxplot for categorical data, antibiotics vs F276
## 2024-06-27 02:29:54.657991 INFO::Creating boxplot for categorical data, antibiotics vs F608
## 2024-06-27 02:29:54.866458 INFO::Creating boxplot for categorical data, antibiotics vs F28
## 2024-06-27 02:29:55.075541 INFO::Creating boxplot for categorical data, antibiotics vs F805
## 2024-06-27 02:29:55.313633 INFO::Creating boxplot for categorical data, antibiotics vs F249
## 2024-06-27 02:29:55.517535 INFO::Creating boxplot for categorical data, antibiotics vs F776
## 2024-06-27 02:29:55.719199 INFO::Creating boxplot for categorical data, antibiotics vs F755
## 2024-06-27 02:29:55.912706 INFO::Creating boxplot for categorical data, antibiotics vs F68
## 2024-06-27 02:29:56.102093 INFO::Creating boxplot for categorical data, antibiotics vs F78
## 2024-06-27 02:29:56.337302 INFO::Creating boxplot for categorical data, antibiotics vs F381
## 2024-06-27 02:29:56.530086 INFO::Creating boxplot for categorical data, antibiotics vs F644
## 2024-06-27 02:29:56.71878 INFO::Creating boxplot for categorical data, antibiotics vs F358
## 2024-06-27 02:29:56.905542 INFO::Creating boxplot for categorical data, antibiotics vs F344
## 2024-06-27 02:29:57.125044 INFO::Creating boxplot for categorical data, antibiotics vs F209
## 2024-06-27 02:29:57.327788 INFO::Creating boxplot for categorical data, antibiotics vs F898
## 2024-06-27 02:29:57.522411 INFO::Creating boxplot for categorical data, antibiotics vs F51
## 2024-06-27 02:29:57.720678 INFO::Creating boxplot for categorical data, antibiotics vs F149
## 2024-06-27 02:29:57.919885 INFO::Creating boxplot for categorical data, antibiotics vs F108
## 2024-06-27 02:29:58.2908 INFO::Creating boxplot for categorical data, antibiotics vs F255
## 2024-06-27 02:29:58.512929 INFO::Creating boxplot for categorical data, antibiotics vs F823
## 2024-06-27 02:29:58.723582 INFO::Creating boxplot for categorical data, antibiotics vs F864
## 2024-06-27 02:29:58.945398 INFO::Creating boxplot for categorical data, antibiotics vs F214
## 2024-06-27 02:29:59.156683 INFO::Creating boxplot for categorical data, antibiotics vs F76
## 2024-06-27 02:29:59.402149 INFO::Creating boxplot for categorical data, antibiotics vs F575
## 2024-06-27 02:29:59.593045 INFO::Creating boxplot for categorical data, antibiotics vs F13
## 2024-06-27 02:29:59.786574 INFO::Creating boxplot for categorical data, antibiotics vs F389
## 2024-06-27 02:29:59.974636 INFO::Creating boxplot for categorical data, antibiotics vs F556
## 2024-06-27 02:30:00.153685 INFO::Creating boxplot for categorical data, antibiotics vs F49
## 2024-06-27 02:30:00.382836 INFO::Creating boxplot for categorical data, antibiotics vs F436
## 2024-06-27 02:30:00.569217 INFO::Creating boxplot for categorical data, antibiotics vs F378
## 2024-06-27 02:30:00.766174 INFO::Creating boxplot for categorical data, antibiotics vs F682
## 2024-06-27 02:30:00.963509 INFO::Creating boxplot for categorical data, antibiotics vs F47
## 2024-06-27 02:30:01.166146 INFO::Creating boxplot for categorical data, antibiotics vs F429
## 2024-06-27 02:30:01.396443 INFO::Creating boxplot for categorical data, antibiotics vs F588
## 2024-06-27 02:30:01.591876 INFO::Creating boxplot for categorical data, antibiotics vs F616
## 2024-06-27 02:30:01.791901 INFO::Creating boxplot for categorical data, antibiotics vs F323
## 2024-06-27 02:30:01.987549 INFO::Creating boxplot for categorical data, antibiotics vs F409
## 2024-06-27 02:30:02.172481 INFO::Creating boxplot for categorical data, antibiotics vs F326
## 2024-06-27 02:30:02.400495 INFO::Creating boxplot for categorical data, antibiotics vs F698
## 2024-06-27 02:30:02.597761 INFO::Creating boxplot for categorical data, antibiotics vs F567
## 2024-06-27 02:30:02.81176 INFO::Creating boxplot for categorical data, antibiotics vs F179
## 2024-06-27 02:30:02.999747 INFO::Creating boxplot for categorical data, antibiotics vs F787
## 2024-06-27 02:30:03.181322 INFO::Creating boxplot for categorical data, antibiotics vs F79
## 2024-06-27 02:30:03.401433 INFO::Creating boxplot for categorical data, antibiotics vs F335
## 2024-06-27 02:30:03.59403 INFO::Creating boxplot for categorical data, antibiotics vs F576
## 2024-06-27 02:30:03.791101 INFO::Creating boxplot for categorical data, antibiotics vs F667
## 2024-06-27 02:30:03.986527 INFO::Creating boxplot for categorical data, antibiotics vs F694
## 2024-06-27 02:30:04.178999 INFO::Creating boxplot for categorical data, antibiotics vs F297
## 2024-06-27 02:30:04.415104 INFO::Creating boxplot for categorical data, antibiotics vs F569
## 2024-06-27 02:30:04.619975 INFO::Creating boxplot for categorical data, antibiotics vs F138
## 2024-06-27 02:30:04.817414 INFO::Creating boxplot for categorical data, antibiotics vs F611
## 2024-06-27 02:30:05.007904 INFO::Creating boxplot for categorical data, antibiotics vs F810
## 2024-06-27 02:30:05.19878 INFO::Creating boxplot for categorical data, antibiotics vs F746
## 2024-06-27 02:30:05.431718 INFO::Creating boxplot for categorical data, antibiotics vs F23
## 2024-06-27 02:30:05.627958 INFO::Creating boxplot for categorical data, antibiotics vs F135
## 2024-06-27 02:30:05.826022 INFO::Creating boxplot for categorical data, antibiotics vs F411
## 2024-06-27 02:30:06.010051 INFO::Creating boxplot for categorical data, antibiotics vs F489
## 2024-06-27 02:30:06.196812 INFO::Creating boxplot for categorical data, antibiotics vs F492
## 2024-06-27 02:30:06.42979 INFO::Creating boxplot for categorical data, antibiotics vs F844
## 2024-06-27 02:30:06.625128 INFO::Creating boxplot for categorical data, antibiotics vs F586
## 2024-06-27 02:30:06.833225 INFO::Creating boxplot for categorical data, antibiotics vs F11
## 2024-06-27 02:30:07.031397 INFO::Creating boxplot for categorical data, antibiotics vs F900
## 2024-06-27 02:30:07.223694 INFO::Creating boxplot for categorical data, antibiotics vs F21
## 2024-06-27 02:30:07.457304 INFO::Creating boxplot for categorical data, antibiotics vs F736
## 2024-06-27 02:30:07.649223 INFO::Creating boxplot for categorical data, antibiotics vs F408
## 2024-06-27 02:30:07.842928 INFO::Creating boxplot for categorical data, antibiotics vs F788
## 2024-06-27 02:30:08.032318 INFO::Creating boxplot for categorical data, antibiotics vs F66
## 2024-06-27 02:30:08.224089 INFO::Creating boxplot for categorical data, antibiotics vs F493
## 2024-06-27 02:30:08.458164 INFO::Creating boxplot for categorical data, antibiotics vs F343
## 2024-06-27 02:30:08.653312 INFO::Creating boxplot for categorical data, antibiotics vs F352
## 2024-06-27 02:30:08.851659 INFO::Creating boxplot for categorical data, antibiotics vs F677
## 2024-06-27 02:30:09.039204 INFO::Creating boxplot for categorical data, antibiotics vs F816
## 2024-06-27 02:30:09.226331 INFO::Creating boxplot for categorical data, antibiotics vs F457
## 2024-06-27 02:30:09.462167 INFO::Creating boxplot for categorical data, antibiotics vs F330
## 2024-06-27 02:30:09.65293 INFO::Creating boxplot for categorical data, antibiotics vs F293
## 2024-06-27 02:30:09.841665 INFO::Creating boxplot for categorical data, antibiotics vs F725
## 2024-06-27 02:30:10.023292 INFO::Creating boxplot for categorical data, antibiotics vs F813
## 2024-06-27 02:30:10.20932 INFO::Creating boxplot for categorical data, antibiotics vs F295
## 2024-06-27 02:30:10.435675 INFO::Creating boxplot for categorical data, antibiotics vs F656
## 2024-06-27 02:30:10.62892 INFO::Creating boxplot for categorical data, antibiotics vs F669
## 2024-06-27 02:30:10.81803 INFO::Creating boxplot for categorical data, antibiotics vs F15
## 2024-06-27 02:30:10.999891 INFO::Creating boxplot for categorical data, antibiotics vs F419
## 2024-06-27 02:30:11.187466 INFO::Creating boxplot for categorical data, antibiotics vs F701
## 2024-06-27 02:30:11.416649 INFO::Creating boxplot for categorical data, antibiotics vs F176
## 2024-06-27 02:30:11.613067 INFO::Creating boxplot for categorical data, antibiotics vs F203
## 2024-06-27 02:30:11.79857 INFO::Creating boxplot for categorical data, antibiotics vs F501
## 2024-06-27 02:30:11.984846 INFO::Creating boxplot for categorical data, antibiotics vs F772
## 2024-06-27 02:30:12.171292 INFO::Creating boxplot for categorical data, antibiotics vs F488
## 2024-06-27 02:30:12.394944 INFO::Creating boxplot for categorical data, antibiotics vs F600
## 2024-06-27 02:30:12.582105 INFO::Creating boxplot for categorical data, antibiotics vs F768
## 2024-06-27 02:30:12.76627 INFO::Creating boxplot for categorical data, antibiotics vs F432
## 2024-06-27 02:30:12.970398 INFO::Creating boxplot for categorical data, antibiotics vs F26
## 2024-06-27 02:30:13.205237 INFO::Creating boxplot for categorical data, antibiotics vs F189
## 2024-06-27 02:30:13.423794 INFO::Creating boxplot for categorical data, antibiotics vs F200
## 2024-06-27 02:30:13.629196 INFO::Creating boxplot for categorical data, antibiotics vs F121
## 2024-06-27 02:30:13.821916 INFO::Creating boxplot for categorical data, antibiotics vs F624
## 2024-06-27 02:30:14.012123 INFO::Creating boxplot for categorical data, antibiotics vs F855
## 2024-06-27 02:30:14.245121 INFO::Creating boxplot for categorical data, antibiotics vs F380
## 2024-06-27 02:30:14.443069 INFO::Creating boxplot for categorical data, antibiotics vs F734
## 2024-06-27 02:30:14.637339 INFO::Creating boxplot for categorical data, antibiotics vs F16
## 2024-06-27 02:30:14.826899 INFO::Creating boxplot for categorical data, antibiotics vs F602
## 2024-06-27 02:30:15.018231 INFO::Creating boxplot for categorical data, antibiotics vs F210
## 2024-06-27 02:30:15.244168 INFO::Creating boxplot for categorical data, antibiotics vs F217
## 2024-06-27 02:30:15.43579 INFO::Creating boxplot for categorical data, antibiotics vs F640
## 2024-06-27 02:30:15.624142 INFO::Creating boxplot for categorical data, antibiotics vs F631
## 2024-06-27 02:30:15.809933 INFO::Creating boxplot for categorical data, antibiotics vs F32
## 2024-06-27 02:30:15.996686 INFO::Creating boxplot for categorical data, antibiotics vs F322
## 2024-06-27 02:30:16.221874 INFO::Creating boxplot for categorical data, antibiotics vs F476
## 2024-06-27 02:30:16.41829 INFO::Creating boxplot for categorical data, antibiotics vs F265
## 2024-06-27 02:30:16.62784 INFO::Creating boxplot for categorical data, antibiotics vs F283
## 2024-06-27 02:30:16.821442 INFO::Creating boxplot for categorical data, antibiotics vs F316
## 2024-06-27 02:30:17.01888 INFO::Creating boxplot for categorical data, antibiotics vs F465
## 2024-06-27 02:30:17.256099 INFO::Creating boxplot for categorical data, antibiotics vs F24
## 2024-06-27 02:30:17.454337 INFO::Creating boxplot for categorical data, antibiotics vs F38
## 2024-06-27 02:30:17.661695 INFO::Creating boxplot for categorical data, antibiotics vs F82
## 2024-06-27 02:30:17.856689 INFO::Creating boxplot for categorical data, antibiotics vs F86
## 2024-06-27 02:30:18.052458 INFO::Creating boxplot for categorical data, antibiotics vs F270
## 2024-06-27 02:30:18.315328 INFO::Creating boxplot for categorical data, antibiotics vs F485
## 2024-06-27 02:30:18.53442 INFO::Creating boxplot for categorical data, antibiotics vs F486
## 2024-06-27 02:30:18.751977 INFO::Creating boxplot for categorical data, antibiotics vs F399
## 2024-06-27 02:30:18.951267 INFO::Creating boxplot for categorical data, antibiotics vs F573
## 2024-06-27 02:30:19.266451 INFO::Creating boxplot for categorical data, antibiotics vs F877
## 2024-06-27 02:30:19.502397 INFO::Creating boxplot for categorical data, antibiotics vs F709
## 2024-06-27 02:30:19.701504 INFO::Creating boxplot for categorical data, antibiotics vs F227
## 2024-06-27 02:30:19.908887 INFO::Creating boxplot for categorical data, antibiotics vs F553
## 2024-06-27 02:30:20.119256 INFO::Creating boxplot for categorical data, antibiotics vs F123
## 2024-06-27 02:30:20.352292 INFO::Creating boxplot for categorical data, antibiotics vs F118
## 2024-06-27 02:30:20.588379 INFO::Creating boxplot for categorical data, antibiotics vs F605
## 2024-06-27 02:30:20.791809 INFO::Creating boxplot for categorical data, antibiotics vs F619
## 2024-06-27 02:30:21.001068 INFO::Creating boxplot for categorical data, antibiotics vs F830
## 2024-06-27 02:30:21.197754 INFO::Creating boxplot for categorical data, antibiotics vs F837
## 2024-06-27 02:30:21.435391 INFO::Creating boxplot for categorical data, antibiotics vs F12
## 2024-06-27 02:30:21.665496 INFO::Creating boxplot for categorical data, antibiotics vs F623
## 2024-06-27 02:30:21.876004 INFO::Creating boxplot for categorical data, antibiotics vs F806
## 2024-06-27 02:30:22.073762 INFO::Creating boxplot for categorical data, antibiotics vs F353
## 2024-06-27 02:30:22.292526 INFO::Creating boxplot for categorical data, antibiotics vs F829
## 2024-06-27 02:30:22.4832 INFO::Creating boxplot for categorical data, antibiotics vs F289
## 2024-06-27 02:30:22.733755 INFO::Creating boxplot for categorical data, antibiotics vs F93
## 2024-06-27 02:30:22.930657 INFO::Creating boxplot for categorical data, antibiotics vs F379
## 2024-06-27 02:30:23.142053 INFO::Creating boxplot for categorical data, antibiotics vs F370
## 2024-06-27 02:30:23.350418 INFO::Creating boxplot for categorical data, antibiotics vs F360
## 2024-06-27 02:30:23.540393 INFO::Creating boxplot for categorical data, antibiotics vs F710
## 2024-06-27 02:30:23.791612 INFO::Creating boxplot for categorical data, antibiotics vs F388
## 2024-06-27 02:30:23.984804 INFO::Creating boxplot for categorical data, antibiotics vs F796
## 2024-06-27 02:30:24.183078 INFO::Creating boxplot for categorical data, antibiotics vs F174
## 2024-06-27 02:30:24.377339 INFO::Creating boxplot for categorical data, antibiotics vs F601
## 2024-06-27 02:30:24.56891 INFO::Creating boxplot for categorical data, antibiotics vs F775
## 2024-06-27 02:30:24.831566 INFO::Creating boxplot for categorical data, antibiotics vs F836
## 2024-06-27 02:30:25.043377 INFO::Creating boxplot for categorical data, antibiotics vs F192
## 2024-06-27 02:30:25.253643 INFO::Creating boxplot for categorical data, antibiotics vs F463
## 2024-06-27 02:30:25.450203 INFO::Creating boxplot for categorical data, antibiotics vs F57
## 2024-06-27 02:30:25.644767 INFO::Creating boxplot for categorical data, antibiotics vs F658
## 2024-06-27 02:30:25.899147 INFO::Creating boxplot for categorical data, antibiotics vs F596
## 2024-06-27 02:30:26.096308 INFO::Creating boxplot for categorical data, antibiotics vs F218
## 2024-06-27 02:30:26.297385 INFO::Creating boxplot for categorical data, antibiotics vs F104
## 2024-06-27 02:30:26.493653 INFO::Creating boxplot for categorical data, antibiotics vs F466
## 2024-06-27 02:30:26.693987 INFO::Creating boxplot for categorical data, antibiotics vs F737
## 2024-06-27 02:30:26.958968 INFO::Creating boxplot for categorical data, antibiotics vs F487
## 2024-06-27 02:30:27.168395 INFO::Creating boxplot for categorical data, antibiotics vs F369
## 2024-06-27 02:30:27.377992 INFO::Creating boxplot for categorical data, antibiotics vs F584
## 2024-06-27 02:30:27.571364 INFO::Creating boxplot for categorical data, antibiotics vs F166
## 2024-06-27 02:30:27.761465 INFO::Creating boxplot for categorical data, antibiotics vs F822
## 2024-06-27 02:30:28.018529 INFO::Creating boxplot for categorical data, antibiotics vs F416
## 2024-06-27 02:30:28.206519 INFO::Creating boxplot for categorical data, antibiotics vs F70
## 2024-06-27 02:30:28.396575 INFO::Creating boxplot for categorical data, antibiotics vs F243
## 2024-06-27 02:30:28.581561 INFO::Creating boxplot for categorical data, antibiotics vs F498
## 2024-06-27 02:30:28.790288 INFO::Creating boxplot for categorical data, antibiotics vs F272
## 2024-06-27 02:30:29.004252 INFO::Creating boxplot for categorical data, antibiotics vs F846
## 2024-06-27 02:30:29.19381 INFO::Creating boxplot for categorical data, antibiotics vs F881
## 2024-06-27 02:30:29.403844 INFO::Creating boxplot for categorical data, antibiotics vs F280
## 2024-06-27 02:30:29.602097 INFO::Creating boxplot for categorical data, antibiotics vs F761
## 2024-06-27 02:30:29.828263 INFO::Creating boxplot for categorical data, antibiotics vs F781
## 2024-06-27 02:30:30.058525 INFO::Creating boxplot for categorical data, antibiotics vs F697
## 2024-06-27 02:30:30.264522 INFO::Creating boxplot for categorical data, antibiotics vs F890
## 2024-06-27 02:30:30.467176 INFO::Creating boxplot for categorical data, antibiotics vs F197
## 2024-06-27 02:30:30.657506 INFO::Creating boxplot for categorical data, antibiotics vs F826
## 2024-06-27 02:30:30.877206 INFO::Creating boxplot for categorical data, antibiotics vs F641
## 2024-06-27 02:30:31.087643 INFO::Creating boxplot for categorical data, antibiotics vs F700
## 2024-06-27 02:30:31.283137 INFO::Creating boxplot for categorical data, antibiotics vs F531
## 2024-06-27 02:30:31.481048 INFO::Creating boxplot for categorical data, antibiotics vs F660
## 2024-06-27 02:30:31.67384 INFO::Creating boxplot for categorical data, antibiotics vs F257
## 2024-06-27 02:30:31.919019 INFO::Creating boxplot for categorical data, antibiotics vs F136
## 2024-06-27 02:30:32.146516 INFO::Creating boxplot for categorical data, antibiotics vs F875
## 2024-06-27 02:30:32.33988 INFO::Creating boxplot for categorical data, antibiotics vs F160
## 2024-06-27 02:30:32.534195 INFO::Creating boxplot for categorical data, antibiotics vs F782
## 2024-06-27 02:30:32.724409 INFO::Creating boxplot for categorical data, antibiotics vs F642
## 2024-06-27 02:30:32.97376 INFO::Creating boxplot for categorical data, antibiotics vs F730
## 2024-06-27 02:30:33.171378 INFO::Creating boxplot for categorical data, antibiotics vs F679
## 2024-06-27 02:30:33.370281 INFO::Creating boxplot for categorical data, antibiotics vs F713
## 2024-06-27 02:30:33.57022 INFO::Creating boxplot for categorical data, antibiotics vs F821
## 2024-06-27 02:30:33.766399 INFO::Creating boxplot for categorical data, antibiotics vs F443
## 2024-06-27 02:30:34.02845 INFO::Creating boxplot for categorical data, antibiotics vs F729
## 2024-06-27 02:30:34.24412 INFO::Creating boxplot for categorical data, antibiotics vs F25
## 2024-06-27 02:30:34.450192 INFO::Creating boxplot for categorical data, antibiotics vs F338
## 2024-06-27 02:30:34.656902 INFO::Creating boxplot for categorical data, antibiotics vs F647
## 2024-06-27 02:30:34.847456 INFO::Creating boxplot for categorical data, antibiotics vs F817
## 2024-06-27 02:30:35.096171 INFO::Creating boxplot for categorical data, antibiotics vs F535
## 2024-06-27 02:30:35.299196 INFO::Creating boxplot for categorical data, antibiotics vs F634
## 2024-06-27 02:30:35.503303 INFO::Creating boxplot for categorical data, antibiotics vs F533
## 2024-06-27 02:30:35.696367 INFO::Creating boxplot for categorical data, antibiotics vs F808
## 2024-06-27 02:30:35.885178 INFO::Creating boxplot for categorical data, antibiotics vs F571
## 2024-06-27 02:30:36.127336 INFO::Creating boxplot for categorical data, antibiotics vs F529
## 2024-06-27 02:30:36.325637 INFO::Creating boxplot for categorical data, antibiotics vs F827
## 2024-06-27 02:30:36.526445 INFO::Creating boxplot for categorical data, antibiotics vs F107
## 2024-06-27 02:30:36.724105 INFO::Creating boxplot for categorical data, antibiotics vs F515
## 2024-06-27 02:30:36.916738 INFO::Creating boxplot for categorical data, antibiotics vs F305
## 2024-06-27 02:30:37.174436 INFO::Creating boxplot for categorical data, antibiotics vs F662
## 2024-06-27 02:30:37.377363 INFO::Creating boxplot for categorical data, antibiotics vs F310
## 2024-06-27 02:30:37.573339 INFO::Creating boxplot for categorical data, antibiotics vs F430
## 2024-06-27 02:30:37.766903 INFO::Creating boxplot for categorical data, antibiotics vs F173
## 2024-06-27 02:30:37.991848 INFO::Creating boxplot for categorical data, antibiotics vs F820
## 2024-06-27 02:30:38.232327 INFO::Creating boxplot for categorical data, antibiotics vs F743
## 2024-06-27 02:30:38.436553 INFO::Creating boxplot for categorical data, antibiotics vs F63
## 2024-06-27 02:30:38.644479 INFO::Creating boxplot for categorical data, antibiotics vs F215
## 2024-06-27 02:30:38.831964 INFO::Creating boxplot for categorical data, antibiotics vs F216
## 2024-06-27 02:30:39.076641 INFO::Creating boxplot for categorical data, antibiotics vs F245
## 2024-06-27 02:30:39.296094 INFO::Creating boxplot for categorical data, antibiotics vs F862
## 2024-06-27 02:30:39.501299 INFO::Creating boxplot for categorical data, antibiotics vs F541
## 2024-06-27 02:30:39.707491 INFO::Creating boxplot for categorical data, antibiotics vs F558
## 2024-06-27 02:30:39.913364 INFO::Creating boxplot for categorical data, antibiotics vs F633
## 2024-06-27 02:30:40.193438 INFO::Creating boxplot for categorical data, antibiotics vs F94
## 2024-06-27 02:30:40.389236 INFO::Creating boxplot for categorical data, antibiotics vs F574
## 2024-06-27 02:30:40.587898 INFO::Creating boxplot for categorical data, antibiotics vs F238
## 2024-06-27 02:30:40.795837 INFO::Creating boxplot for categorical data, antibiotics vs F815
## 2024-06-27 02:30:40.998556 INFO::Creating boxplot for categorical data, antibiotics vs F587
## 2024-06-27 02:30:41.362875 INFO::Creating boxplot for categorical data, antibiotics vs F464
## 2024-06-27 02:30:41.567621 INFO::Creating boxplot for categorical data, antibiotics vs F590
## 2024-06-27 02:30:41.776098 INFO::Creating boxplot for categorical data, antibiotics vs F124
## 2024-06-27 02:30:41.98883 INFO::Creating boxplot for categorical data, antibiotics vs F664
## 2024-06-27 02:30:42.201757 INFO::Creating boxplot for categorical data, antibiotics vs F100
## 2024-06-27 02:30:42.457145 INFO::Creating boxplot for categorical data, antibiotics vs F744
## 2024-06-27 02:30:42.664973 INFO::Creating boxplot for categorical data, antibiotics vs F444
## 2024-06-27 02:30:42.881392 INFO::Creating boxplot for categorical data, antibiotics vs F597
## 2024-06-27 02:30:43.088291 INFO::Creating boxplot for categorical data, antibiotics vs F650
## 2024-06-27 02:30:43.284518 INFO::Creating boxplot for categorical data, antibiotics vs F147
## 2024-06-27 02:30:43.531118 INFO::Creating boxplot for categorical data, antibiotics vs F363
## 2024-06-27 02:30:43.727782 INFO::Creating boxplot for categorical data, antibiotics vs F521
## 2024-06-27 02:30:43.926305 INFO::Creating boxplot for categorical data, antibiotics vs F412
## 2024-06-27 02:30:44.124474 INFO::Creating boxplot for categorical data, antibiotics vs F279
## 2024-06-27 02:30:44.3384 INFO::Creating boxplot for categorical data, antibiotics vs F225
## 2024-06-27 02:30:44.584065 INFO::Creating boxplot for categorical data, antibiotics vs F10
## 2024-06-27 02:30:44.795727 INFO::Creating boxplot for categorical data, antibiotics vs F481
## 2024-06-27 02:30:45.008867 INFO::Creating boxplot for categorical data, antibiotics vs F861
## 2024-06-27 02:30:45.229337 INFO::Creating boxplot for categorical data, antibiotics vs F888
## 2024-06-27 02:30:45.436536 INFO::Creating boxplot for categorical data, antibiotics vs F156
## 2024-06-27 02:30:45.677877 INFO::Creating boxplot for categorical data, antibiotics vs F857
## 2024-06-27 02:30:45.883879 INFO::Creating boxplot for categorical data, antibiotics vs F509
## 2024-06-27 02:30:46.090707 INFO::Creating boxplot for categorical data, antibiotics vs F244
## 2024-06-27 02:30:46.299776 INFO::Creating boxplot for categorical data, antibiotics vs F514
## 2024-06-27 02:30:46.500812 INFO::Creating boxplot for categorical data, antibiotics vs F196
## 2024-06-27 02:30:46.759469 INFO::Creating boxplot for categorical data, antibiotics vs F304
## 2024-06-27 02:30:46.975525 INFO::Creating boxplot for categorical data, antibiotics vs F833
## 2024-06-27 02:30:47.191286 INFO::Creating boxplot for categorical data, antibiotics vs F294
## 2024-06-27 02:30:47.398401 INFO::Creating boxplot for categorical data, antibiotics vs F550
## 2024-06-27 02:30:47.614919 INFO::Creating boxplot for categorical data, antibiotics vs F869
## 2024-06-27 02:30:47.855318 INFO::Creating boxplot for categorical data, antibiotics vs F364
## 2024-06-27 02:30:48.058244 INFO::Creating boxplot for categorical data, antibiotics vs F583
## 2024-06-27 02:30:48.26708 INFO::Creating boxplot for categorical data, antibiotics vs F441
## 2024-06-27 02:30:48.479739 INFO::Creating boxplot for categorical data, antibiotics vs F595
## 2024-06-27 02:30:48.678266 INFO::Creating boxplot for categorical data, antibiotics vs F35
## 2024-06-27 02:30:48.920421 INFO::Creating boxplot for categorical data, antibiotics vs F630
## 2024-06-27 02:30:49.124557 INFO::Creating boxplot for categorical data, antibiotics vs F401
## 2024-06-27 02:30:49.327446 INFO::Creating boxplot for categorical data, antibiotics vs F287
## 2024-06-27 02:30:49.53802 INFO::Creating boxplot for categorical data, antibiotics vs F250
## 2024-06-27 02:30:49.751382 INFO::Creating boxplot for categorical data, antibiotics vs F239
## 2024-06-27 02:30:50.023292 INFO::Creating boxplot for categorical data, antibiotics vs F88
## 2024-06-27 02:30:50.247676 INFO::Creating boxplot for categorical data, antibiotics vs F752
## 2024-06-27 02:30:50.466537 INFO::Creating boxplot for categorical data, antibiotics vs F539
## 2024-06-27 02:30:50.672818 INFO::Creating boxplot for categorical data, antibiotics vs F69
## 2024-06-27 02:30:50.867807 INFO::Creating boxplot for categorical data, antibiotics vs F126
## 2024-06-27 02:30:51.120194 INFO::Creating boxplot for categorical data, antibiotics vs F362
## 2024-06-27 02:30:51.321548 INFO::Creating boxplot for categorical data, antibiotics vs F753
## 2024-06-27 02:30:51.533755 INFO::Creating boxplot for categorical data, antibiotics vs F469
## 2024-06-27 02:30:51.738509 INFO::Creating boxplot for categorical data, antibiotics vs F14
## 2024-06-27 02:30:51.936041 INFO::Creating boxplot for categorical data, antibiotics vs F803
## 2024-06-27 02:30:52.183662 INFO::Creating boxplot for categorical data, antibiotics vs F814
## 2024-06-27 02:30:52.382929 INFO::Creating boxplot for categorical data, antibiotics vs F449
## 2024-06-27 02:30:52.590002 INFO::Creating boxplot for categorical data, antibiotics vs F494
## 2024-06-27 02:30:52.798188 INFO::Creating boxplot for categorical data, antibiotics vs F439
## 2024-06-27 02:30:53.024594 INFO::Creating boxplot for categorical data, antibiotics vs F686
## 2024-06-27 02:30:53.289062 INFO::Creating boxplot for categorical data, antibiotics vs F591
## 2024-06-27 02:30:53.494668 INFO::Creating boxplot for categorical data, antibiotics vs F735
## 2024-06-27 02:30:53.703376 INFO::Creating boxplot for categorical data, antibiotics vs F111
## 2024-06-27 02:30:53.91187 INFO::Creating boxplot for categorical data, antibiotics vs F346
## 2024-06-27 02:30:54.104022 INFO::Creating boxplot for categorical data, antibiotics vs F29
## 2024-06-27 02:30:54.335874 INFO::Creating boxplot for categorical data, antibiotics vs F376
## 2024-06-27 02:30:54.526596 INFO::Creating boxplot for categorical data, antibiotics vs F414
## 2024-06-27 02:30:54.720888 INFO::Creating boxplot for categorical data, antibiotics vs F555
## 2024-06-27 02:30:54.909276 INFO::Creating boxplot for categorical data, antibiotics vs F517
## 2024-06-27 02:30:55.116807 INFO::Creating boxplot for categorical data, antibiotics vs F544
## 2024-06-27 02:30:55.329176 INFO::Creating boxplot for categorical data, antibiotics vs F339
## 2024-06-27 02:30:55.540985 INFO::Creating boxplot for categorical data, antibiotics vs F689
## 2024-06-27 02:30:55.744163 INFO::Creating boxplot for categorical data, antibiotics vs F391
## 2024-06-27 02:30:55.940359 INFO::Creating boxplot for categorical data, antibiotics vs F502
## 2024-06-27 02:30:56.242837 INFO::Creating boxplot for categorical data, antibiotics vs F298
## 2024-06-27 02:30:56.444907 INFO::Creating boxplot for categorical data, antibiotics vs F337
## 2024-06-27 02:30:56.647716 INFO::Creating boxplot for categorical data, antibiotics vs F773
## 2024-06-27 02:30:56.85799 INFO::Creating boxplot for categorical data, antibiotics vs F592
## 2024-06-27 02:30:57.069379 INFO::Creating boxplot for categorical data, antibiotics vs F307
## 2024-06-27 02:30:57.336387 INFO::Creating boxplot for categorical data, antibiotics vs F115
## 2024-06-27 02:30:57.53756 INFO::Creating boxplot for categorical data, antibiotics vs F739
## 2024-06-27 02:30:57.741353 INFO::Creating boxplot for categorical data, antibiotics vs F433
## 2024-06-27 02:30:57.948309 INFO::Creating boxplot for categorical data, antibiotics vs F384
## 2024-06-27 02:30:58.144509 INFO::Creating boxplot for categorical data, antibiotics vs F750
## 2024-06-27 02:30:58.391512 INFO::Creating boxplot for categorical data, antibiotics vs F762
## 2024-06-27 02:30:58.597791 INFO::Creating boxplot for categorical data, antibiotics vs F277
## 2024-06-27 02:30:58.802077 INFO::Creating boxplot for categorical data, antibiotics vs F871
## 2024-06-27 02:30:59.003192 INFO::Creating boxplot for categorical data, antibiotics vs F839
## 2024-06-27 02:30:59.192547 INFO::Creating boxplot for categorical data, antibiotics vs F127
## 2024-06-27 02:30:59.448132 INFO::Creating boxplot for categorical data, antibiotics vs F554
## 2024-06-27 02:30:59.640293 INFO::Creating boxplot for categorical data, antibiotics vs F676
## 2024-06-27 02:30:59.838919 INFO::Creating boxplot for categorical data, antibiotics vs F568
## 2024-06-27 02:31:00.036159 INFO::Creating boxplot for categorical data, antibiotics vs F137
## 2024-06-27 02:31:00.229309 INFO::Creating boxplot for categorical data, antibiotics vs F131
## 2024-06-27 02:31:00.471937 INFO::Creating boxplot for categorical data, antibiotics vs F60
## 2024-06-27 02:31:00.678349 INFO::Creating boxplot for categorical data, antibiotics vs F98
## 2024-06-27 02:31:00.886378 INFO::Creating boxplot for categorical data, antibiotics vs F672
## 2024-06-27 02:31:01.091085 INFO::Creating boxplot for categorical data, antibiotics vs F530
## 2024-06-27 02:31:01.297906 INFO::Creating boxplot for categorical data, antibiotics vs F809
## 2024-06-27 02:31:01.556873 INFO::Creating boxplot for categorical data, antibiotics vs F894
## 2024-06-27 02:31:01.761757 INFO::Creating boxplot for categorical data, antibiotics vs F22
## 2024-06-27 02:31:01.976527 INFO::Creating boxplot for categorical data, antibiotics vs F818
## 2024-06-27 02:31:02.166807 INFO::Creating boxplot for categorical data, antibiotics vs F559
## 2024-06-27 02:31:02.409091 INFO::Creating boxplot for categorical data, antibiotics vs F741
## 2024-06-27 02:31:02.608633 INFO::Creating boxplot for categorical data, antibiotics vs F398
## 2024-06-27 02:31:02.805703 INFO::Creating boxplot for categorical data, antibiotics vs F357
## 2024-06-27 02:31:03.003039 INFO::Creating boxplot for categorical data, antibiotics vs F119
## 2024-06-27 02:31:03.191827 INFO::Creating boxplot for categorical data, antibiotics vs F426
## 2024-06-27 02:31:04.428383 INFO::Creating boxplot for categorical data, antibiotics vs F204
## 2024-06-27 02:31:04.630418 INFO::Creating boxplot for categorical data, antibiotics vs F851
## 2024-06-27 02:31:04.823735 INFO::Creating boxplot for categorical data, antibiotics vs F657
## 2024-06-27 02:31:05.010599 INFO::Creating boxplot for categorical data, antibiotics vs F801
## 2024-06-27 02:31:05.200332 INFO::Creating boxplot for categorical data, antibiotics vs F754
## 2024-06-27 02:31:05.408547 INFO::Creating boxplot for categorical data, antibiotics vs F859
## 2024-06-27 02:31:05.598398 INFO::Creating boxplot for categorical data, antibiotics vs F480
## 2024-06-27 02:31:05.794525 INFO::Creating boxplot for categorical data, antibiotics vs F507
## 2024-06-27 02:31:05.972379 INFO::Creating boxplot for categorical data, antibiotics vs F207
## 2024-06-27 02:31:08.146375 INFO::Plotting data for metadata number 3, age
## 2024-06-27 02:31:08.149194 INFO::Creating scatter plot for continuous data, age vs F340
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:08.436751 INFO::Creating scatter plot for continuous data, age vs F603
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:08.764339 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()`).
## 2024-06-27 02:31:08.98099 INFO::Creating scatter plot for continuous data, age vs F181
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:09.182924 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()`).
## 2024-06-27 02:31:09.39391 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()`).
## 2024-06-27 02:31:09.612187 INFO::Creating scatter plot for continuous data, age vs F743
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:09.792017 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()`).
## 2024-06-27 02:31:09.992901 INFO::Creating scatter plot for continuous data, age vs F436
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:10.183631 INFO::Creating scatter plot for continuous data, age vs F219
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:10.378355 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()`).
## 2024-06-27 02:31:10.622546 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()`).
## 2024-06-27 02:31:10.826926 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()`).
## 2024-06-27 02:31:11.032093 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()`).
## 2024-06-27 02:31:11.24073 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()`).
## 2024-06-27 02:31:11.474865 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()`).
## 2024-06-27 02:31:11.675407 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()`).
## 2024-06-27 02:31:11.880524 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()`).
## 2024-06-27 02:31:12.097351 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()`).
## 2024-06-27 02:31:12.306161 INFO::Creating scatter plot for continuous data, age vs F174
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:12.529448 INFO::Creating scatter plot for continuous data, age vs F17
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:12.7141 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()`).
## 2024-06-27 02:31:12.912341 INFO::Creating scatter plot for continuous data, age vs F835
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:13.099992 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()`).
## 2024-06-27 02:31:13.319757 INFO::Creating scatter plot for continuous data, age vs F383
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:13.501111 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()`).
## 2024-06-27 02:31:13.699162 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()`).
## 2024-06-27 02:31:13.911752 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()`).
## 2024-06-27 02:31:14.132223 INFO::Creating scatter plot for continuous data, age vs F528
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:14.338745 INFO::Creating scatter plot for continuous data, age vs F13
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:14.529056 INFO::Creating scatter plot for continuous data, age vs F36
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:14.729976 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()`).
## 2024-06-27 02:31:14.934018 INFO::Creating scatter plot for continuous data, age vs F404
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:15.137605 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()`).
## 2024-06-27 02:31:15.333435 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()`).
## 2024-06-27 02:31:15.540065 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()`).
## 2024-06-27 02:31:15.747639 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()`).
## 2024-06-27 02:31:15.977151 INFO::Creating scatter plot for continuous data, age vs F97
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:16.16284 INFO::Creating scatter plot for continuous data, age vs F849
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:16.352852 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()`).
## 2024-06-27 02:31:16.551218 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()`).
## 2024-06-27 02:31:16.754808 INFO::Creating scatter plot for continuous data, age vs F296
## `geom_smooth()` using formula = 'y ~ x'
## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).
## 2024-06-27 02:31:16.980397 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()`).
## 2024-06-27 02:31:17.18435 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()`).
## 2024-06-27 02:31:17.386613 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()`).
## 2024-06-27 02:31:17.586987 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()`).
## 2024-06-27 02:31:17.804346 INFO::Creating scatter plot for continuous data, age vs F496
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:17.98589 INFO::Creating scatter plot for continuous data, age vs F386
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:18.166737 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()`).
## 2024-06-27 02:31:18.376866 INFO::Creating scatter plot for continuous data, age vs F704
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:18.576129 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()`).
## 2024-06-27 02:31:18.820467 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()`).
## 2024-06-27 02:31:19.022796 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()`).
## 2024-06-27 02:31:19.223851 INFO::Creating scatter plot for continuous data, age vs F481
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:19.413627 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()`).
## 2024-06-27 02:31:19.639733 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()`).
## 2024-06-27 02:31:19.846004 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()`).
## 2024-06-27 02:31:20.049305 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()`).
## 2024-06-27 02:31:20.249216 INFO::Creating scatter plot for continuous data, age vs F82
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:20.454887 INFO::Creating scatter plot for continuous data, age vs F7
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:20.639531 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()`).
## 2024-06-27 02:31:20.834546 INFO::Creating scatter plot for continuous data, age vs F593
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:21.019864 INFO::Creating scatter plot for continuous data, age vs F733
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:21.203144 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()`).
## 2024-06-27 02:31:21.419239 INFO::Creating scatter plot for continuous data, age vs F410
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:21.605303 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()`).
## 2024-06-27 02:31:21.809249 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()`).
## 2024-06-27 02:31:22.009776 INFO::Creating scatter plot for continuous data, age vs F856
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:22.216946 INFO::Creating scatter plot for continuous data, age vs F680
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:22.401665 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()`).
## 2024-06-27 02:31:22.601668 INFO::Creating scatter plot for continuous data, age vs F860
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:22.785629 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()`).
## 2024-06-27 02:31:23.008056 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()`).
## 2024-06-27 02:31:23.216025 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()`).
## 2024-06-27 02:31:23.42449 INFO::Creating scatter plot for continuous data, age vs F899
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:23.605758 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()`).
## 2024-06-27 02:31:23.80022 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()`).
## 2024-06-27 02:31:24.137554 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()`).
## 2024-06-27 02:31:24.340388 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()`).
## 2024-06-27 02:31:24.555607 INFO::Creating scatter plot for continuous data, age vs F345
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:24.76758 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()`).
## 2024-06-27 02:31:25.030165 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()`).
## 2024-06-27 02:31:25.237479 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()`).
## 2024-06-27 02:31:25.434989 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()`).
## 2024-06-27 02:31:25.634562 INFO::Creating scatter plot for continuous data, age vs F752
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:25.8243 INFO::Creating scatter plot for continuous data, age vs F848
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:26.049464 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()`).
## 2024-06-27 02:31:26.255185 INFO::Creating scatter plot for continuous data, age vs F751
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:26.444876 INFO::Creating scatter plot for continuous data, age vs F15
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:26.633696 INFO::Creating scatter plot for continuous data, age vs F521
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:26.865131 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()`).
## 2024-06-27 02:31:27.102182 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()`).
## 2024-06-27 02:31:27.315234 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()`).
## 2024-06-27 02:31:27.510657 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()`).
## 2024-06-27 02:31:27.707648 INFO::Creating scatter plot for continuous data, age vs F241
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:27.921948 INFO::Creating scatter plot for continuous data, age vs F582
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:28.11384 INFO::Creating scatter plot for continuous data, age vs F822
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:28.305922 INFO::Creating scatter plot for continuous data, age vs F748
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:28.495364 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()`).
## 2024-06-27 02:31:28.733243 INFO::Creating scatter plot for continuous data, age vs F16
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:28.941528 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()`).
## 2024-06-27 02:31:29.18591 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()`).
## 2024-06-27 02:31:29.386803 INFO::Creating scatter plot for continuous data, age vs F663
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:29.571638 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()`).
## 2024-06-27 02:31:29.802846 INFO::Creating scatter plot for continuous data, age vs F865
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:29.987031 INFO::Creating scatter plot for continuous data, age vs F421
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:30.170337 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()`).
## 2024-06-27 02:31:30.365984 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()`).
## 2024-06-27 02:31:30.592136 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()`).
## 2024-06-27 02:31:30.790263 INFO::Creating scatter plot for continuous data, age vs F123
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:30.974155 INFO::Creating scatter plot for continuous data, age vs F566
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:31.161959 INFO::Creating scatter plot for continuous data, age vs F370
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:31.347462 INFO::Creating scatter plot for continuous data, age vs F65
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:31.568961 INFO::Creating scatter plot for continuous data, age vs F119
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:31.755335 INFO::Creating scatter plot for continuous data, age vs F263
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:31.945579 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()`).
## 2024-06-27 02:31:32.148547 INFO::Creating scatter plot for continuous data, age vs F628
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:32.344252 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()`).
## 2024-06-27 02:31:32.580703 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()`).
## 2024-06-27 02:31:32.78234 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()`).
## 2024-06-27 02:31:32.986301 INFO::Creating scatter plot for continuous data, age vs F575
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:33.175395 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()`).
## 2024-06-27 02:31:33.40919 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()`).
## 2024-06-27 02:31:33.608377 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()`).
## 2024-06-27 02:31:33.812537 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()`).
## 2024-06-27 02:31:34.018471 INFO::Creating scatter plot for continuous data, age vs F504
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:34.24495 INFO::Creating scatter plot for continuous data, age vs F34
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:34.432751 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()`).
## 2024-06-27 02:31:34.644057 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()`).
## 2024-06-27 02:31:34.863675 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()`).
## 2024-06-27 02:31:35.088037 INFO::Creating scatter plot for continuous data, age vs F673
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:35.323936 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()`).
## 2024-06-27 02:31:35.546716 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()`).
## 2024-06-27 02:31:35.754549 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()`).
## 2024-06-27 02:31:35.970432 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()`).
## 2024-06-27 02:31:36.221871 INFO::Creating scatter plot for continuous data, age vs F40
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:36.425719 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()`).
## 2024-06-27 02:31:36.647378 INFO::Creating scatter plot for continuous data, age vs F643
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:36.837098 INFO::Creating scatter plot for continuous data, age vs F759
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:37.058955 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()`).
## 2024-06-27 02:31:37.266131 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()`).
## 2024-06-27 02:31:37.481974 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()`).
## 2024-06-27 02:31:37.698952 INFO::Creating scatter plot for continuous data, age vs F101
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:37.891184 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()`).
## 2024-06-27 02:31:38.129052 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()`).
## 2024-06-27 02:31:38.334861 INFO::Creating scatter plot for continuous data, age vs F95
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:38.530664 INFO::Creating scatter plot for continuous data, age vs F775
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:38.724931 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()`).
## 2024-06-27 02:31:38.96633 INFO::Creating scatter plot for continuous data, age vs F353
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:39.152583 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()`).
## 2024-06-27 02:31:39.358903 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()`).
## 2024-06-27 02:31:39.575172 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()`).
## 2024-06-27 02:31:39.814447 INFO::Creating scatter plot for continuous data, age vs F295
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:40.01858 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()`).
## 2024-06-27 02:31:40.22009 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()`).
## 2024-06-27 02:31:40.422596 INFO::Creating scatter plot for continuous data, age vs F146
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:40.614177 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()`).
## 2024-06-27 02:31:40.848256 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()`).
## 2024-06-27 02:31:41.058159 INFO::Creating scatter plot for continuous data, age vs F443
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:41.267975 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()`).
## 2024-06-27 02:31:41.482914 INFO::Creating scatter plot for continuous data, age vs F864
## `geom_smooth()` using formula = 'y ~ x'
## 2024-06-27 02:31:41.715559 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()`).
## 2024-06-27 02:31:41.928432 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()`).
## 2024-06-27 02:31:42.135655 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
## 2024-06-27 02:31:44.670187 INFO::Writing all prioritized metabolites to file: Macarron_output/prioritized_metabolites_all.csv
## 2024-06-27 02:31:44.683683 INFO::Writing characterizable prioritized metabolites to file: Macarron_output/prioritized_metabolites_characterizable.csv
## 2024-06-27 02:31:44.70987 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: aarch64-apple-darwin20
## Running under: macOS Ventura 13.6.6
## 
## Matrix products: default
## BLAS:   /Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/lib/libRblas.0.dylib 
## LAPACK: /Library/Frameworks/R.framework/Versions/4.4-arm64/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.