Automatic Statistical Identification in Complex Spectra


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Documentation for package ‘ASICS’ version 2.16.0

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accessors-methods Accessors
alignSpectra Alignment
AnalysisResults-class Class AnalysisResults
ASICS Automatic Statistical Identification in Complex Spectra
ASICSResults-class Class ASICSResults
ASICSUsersGuide View ASICS User's Guide
binning Binning/Bucketing of NMR spectra
c-method Combine or subset functions
c.ASICSResults Combine or subset functions
c.PureLibrary Combine or subset functions
c.Spectra Combine or subset functions
combineAndSubset-methods Combine or subset functions
createPureLibrary Create a pure library
createSpectra Create a Spectra object
dim-method Summary methods
dim.Spectra Summary methods
formatForAnalysis Format data for analysis
getBestModel Accessors
getBestModel-method Accessors
getCVError Accessors
getCVError-method Accessors
getDataset Accessors
getDataset-method Accessors
getDeformedLibrary Accessors
getDeformedLibrary-method Accessors
getMeanByGroup Accessors
getMeanByGroup-method Accessors
getNbProtons Accessors
getNbProtons-method Accessors
getNormMethod Accessors
getNormMethod-method Accessors
getNormParams Accessors
getNormParams-method Accessors
getPpmGrid Accessors
getPpmGrid-method Accessors
getQuantification Accessors
getQuantification-method Accessors
getReconstructedSpectra Accessors
getReconstructedSpectra-method Accessors
getResults Accessors
getResults-method Accessors
getSampleName Accessors
getSampleName-method Accessors
getSpectra Accessors
getSpectra-method Accessors
getTypeAnalysis Accessors
getTypeAnalysis-method Accessors
getTypeData Accessors
getTypeData-method Accessors
importSpectra Import metabolomic spectra
importSpectraBruker Import preprocessed metabolomic spectra from Bruker files
kruskalWallis Kruskal-Wallis rank sum tests on a 'SummarizedExperiment' object
length-method Summary methods
length.Spectra Summary methods
normaliseSpectra Normalisation
oplsda Orthogonal projections to latent structures discriminant analysis (OPLS-DA) on a 'SummarizedExperiment' object
pca Principal Component Analysis (PCA) on a 'SummarizedExperiment' object
plot-method Visualisation methods
plot-method Visualisation methods
plot.AnalysisResults Visualisation methods
plot.ASICSResults Visualisation methods
plot.Spectra Visualisation methods
plotAlignment Tile plot
PureLibrary-class Class 'PureLibrary'
pure_library Pure spectra library
show-method Summary methods
show.AnalysisResults Summary methods
show.ASICSResults Summary methods
show.Spectra Summary methods
simulate_spectra Simulate a set of spectra
Spectra-class Class Spectra
summary-method Summary methods
summary-methods Summary methods
summary.AnalysisResults Summary methods
summary.Spectra Summary methods
visualisation-methods-analyses Visualisation methods
visualisation-methods-spectra Visualisation methods
[-method Combine or subset functions
[.ASICSResults Combine or subset functions
[.PureLibrary Combine or subset functions
[.Spectra Combine or subset functions