# PCAtools: Everything Principal Components Analysis

## Documentation for package ‘PCAtools’ version 2.23.3

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

## Help Pages

biplot | Draw a bi-plot, comparing 2 selected principal components / eigenvectors.
chooseGavishDonoho | Choosing PCs with the Gavish-Donoho method
chooseMarchenkoPastur | Choosing PCs with the Marchenko-Pastur limit
eigencorplot | Correlate principal components to continuous variable metadata and test significancies of these.
findElbowPoint | Find the elbow point in the curve of variance explained by each successive PC. This can be used to determine the number of PCs to retain.
getComponents | Return the principal component labels for an object of class 'pca'.
getLoadings | Return component loadings for principal components from an object of class 'pca'.
getVars | Return the explained variation for each principal component for an object of class 'pca'.
pairsplot | Draw multiple bi-plots.
parallelPCA | Perform Horn's parallel analysis to choose the number of principal components to retain.
pca | PCAtools
plotloadings | Plot the component loadings for selected principal components / eigenvectors and label variables driving variation along these.
screeplot | Draw a SCREE plot, showing the distribution of explained variance across all or select principal components / eigenvectors.