Maximum rank reproducibility

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Documentation for package ‘marr’ version 1.00.03

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data.frameORSummarizedExperiment-class S4 Class union
Marr Marr
Marr-class the Marr class
MarrAlpha Generic function that returns the Marr Alpha
MarrAlpha-method Generic function that returns the Marr Alpha
MarrData Generic function that returns the Marr Data
MarrData-method Generic function that returns the Marr Data
MarrFeatures Generic function that returns the Marr features
MarrFeatures-method Generic function that returns the Marr features
MarrFeaturesfiltered Generic function that returns the Marr filtered features
MarrFeaturesfiltered-method Generic function that returns the Marr filtered features
MarrFeatureVars Generic function that returns the Marr Feature Vars
MarrFeatureVars-method Generic function that returns the Marr Feature Vars
MarrFilterData Filter by Maximum Rank Reproducibility
MarrPFeatures Generic function that returns the Marr P Features
MarrPFeatures-method Generic function that returns the Marr P Features
MarrPlotFeatures Plot percent reproducible sample pairs per feature for pairwise replicates from 'Marr' function.
MarrPlotSamplepairs Plot percent reproducible features per sample pair for pairwise replicates from 'Marr' function.
MarrProc MarrProc
MarrPSamplepairs Generic function that returns the Marr P Sample Pairs
MarrPSamplepairs-method Generic function that returns the Marr P Sample Pairs
MarrSamplepairs Generic function that returns the Marr sample pairs
MarrSamplepairs-method Generic function that returns the Marr sample pairs
MarrSamplepairsfiltered Generic function that returns the Marr filtered sample pairs
MarrSamplepairsfiltered-method Generic function that returns the Marr filtered sample pairs
msprepCOPD Example of processed mass spectrometry dataset
vectorORNull-class S4 Class union