PCAtools: Everything Principal Components Analysis

Documentation for package ‘PCAtools’ version 2.21.0

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.