pca_correlation_plot: PCA correlation plot

In computational-metabolomics/structtoolbox: Data processing & analysis tools for Metabolomics and other omics

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.

Inheritance

A pca_correlation_plot object inherits the following struct classes:

⁠[pca_correlation_plot]⁠ >> ⁠[chart]⁠ >> ⁠[struct_class]⁠

Examples

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

C = pca_correlation_plot()

computational-metabolomics/structtoolbox documentation built on July 2, 2024, 10:46 p.m.