Analysis of differential abundance taking sample variation into account


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Documentation for package ‘ALDEx2’ version 1.4.0

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ALDEx2m-package Analysis of differential abundance taking sample variation into account
aldex Compute an 'aldex' Object
aldex.clr Compute an 'aldex.clr' Object
aldex.clr-class The aldex.clr class
aldex.clr-method Compute an 'aldex.clr' Object
aldex.clr.function Compute an 'aldex.clr' Object
aldex.corr calculate Pearson's Product moment and Spearman's rank correlations
aldex.effect calculate effect sizes and differences between conditions
aldex.glm calculate glm and Kruskal Wallis test statistics
aldex.plot Plot an 'aldex' Object
aldex.ttest calculate Welch's t-test and Wilcoxon test statistics
ALDEx2m Analysis of differential abundance taking sample variation into account
getFeatureNames getFeatureNames
getFeatureNames-method getFeatureNames
getFeatures getFeatures
getFeatures-method getFeatures
getMonteCarloInstances getMonteCarloInstances
getMonteCarloInstances-method getMonteCarloInstances
getMonteCarloReplicate getMonteCarloReplicate
getMonteCarloReplicate-method getMonteCarloReplicate
getReads getReads
getReads-method getReads
getSampleIDs getSampleIDs
getSampleIDs-method getSampleIDs
numConditions numConditions
numConditions-method numConditions
numFeatures numFeatures
numFeatures-method numFeatures
numMCInstances numMCInstances
numMCInstances-method numMCInstances
selex Selection-based differential sequence variant abundance dataset