Total contribution of a variable is calculated as per ((Cx * Ex) + (Cy * Ey))/(Ex + Ey), where:

• Cx and Cy are the contributions of a variable to principal components x and y

• Ex and Ey are the eigenvalues of principal components x and y

## Usage

calculateLoadingsContribution(pca, pcX = 1, pcY = 2)

## Arguments

pca

prcomp object

pcX

Character: name of the X axis of interest from the PCA

pcY

Character: name of the Y axis of interest from the PCA

## Value

Data frame containing the correlation between variables and selected principal components and the contribution of variables to the selected principal components (both individual and total contribution)

Other functions to analyse principal components: performPCA(), plotPCAvariance(), plotPCA()

## Examples

pca <- performPCA(USArrests)