ggpca_cor_circle {ggfacto}

Correlation Circle Plot for Principal Component Analysis

Description

Correlation Circle Plot for Principal Component Analysis

Usage

ggpca_cor_circle(
  res.pca,
  axes = c(1, 2),
  proj = FALSE,
  interactive = TRUE,
  text_size = 3
)

Arguments

res.pca

The result of FactoMineR::PCA.

axes

The axes to print, as a numeric vector of length 2.

proj

Set to 'TRUE' to print projections of vectors over the two axes.

interactive

By default an html interactive plot is done. Set to 'FALSE' to get a normal ggplot graph.

text_size

Size of the texte.

Value

A ggplot.

Examples

data(mtcars, package = "datasets")
mtcars <- mtcars[1:7] |> dplyr::rename(weight = wt)
res.pca <- FactoMineR::PCA(mtcars, graph = FALSE)
ggpca_cor_circle(res.pca, interactive = FALSE)