pca_correlation_plot {structToolbox} | R Documentation

## PCA correlation plot

### Description

A plot of the correlation between the variables/features and the selected principal component scores. Features with high correlation are well represented by the selected component(s)

### Usage

    pca_correlation_plot(components = c(1, 2), ...)

### Arguments

`components` | (numeric) The Principal Components used to generate the plot. The default is `c(1, 2)`.
`...` | Additional slots and values passed to `struct_class`.

### Value

A `pca_correlation_plot` object. This object has no `output` slots. See `chart_plot` in the `struct` package to plot this chart object.

### Examples

    C = pca_correlation_plot()

[Package structToolbox version 1.6.1 Index]