# Analysis Of Differential Abundance Taking Sample Variation Into Account

## Documentation for package ‘ALDEx2’ version 1.20.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

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 correlation with a continuous variable
aldex.effect | calculate effect sizes and differences between conditions
aldex.expectedDistance | Calculate the expected values of distances between samples, given an 'aldex' Object
aldex.glm | Calculate glm test statistics using a 'model.matrix'
aldex.glm.effect | calculate effect sizes and differences between all constrasts for the aldex.glm model matrix
aldex.kw | Calculate the Kruskal-Wallis test and glm ANOVA statistics
aldex.plot | Plot an 'aldex' Object
aldex.plotFeature | Show dispersion of the expected values returned by 'aldex.effect'
aldex.set.mode | identify set of denominator features for log-ratio calculation
aldex.ttest | Calculate Wilcoxon Rank Sum test and Welch's t-test statistics
ALDEx2m | Analysis of differential abundance taking sample variation into account
getDenom | getDenom
getDenom-method | getDenom
getFeatureNames | getFeatureNames
getFeatureNames-method | getFeatureNames
getFeatures | getFeatures
getFeatures-method | getFeatures
getMonteCarloInstances | getMonteCarloInstances
getMonteCarloInstances-method | getMonteCarloInstances
getMonteCarloReplicate | getMonteCarloReplicate
getMonteCarloReplicate-method | getMonteCarloReplicate
getMonteCarloSample | getMonteCarloSample
getMonteCarloSample-method | getMonteCarloSample
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
synth2 | Synthetic asymmetric dataset