ggmca_initial_dims: Plot Initial Dimensions (Active Variables) of Multiple...

In ggfacto: Graphs for Correspondence Analysis

Plot Initial Dimensions (Active Variables) of Multiple Correspondence Analysis

Description

This function mostly have an educational value : it shows the initial dimensions of the Multiple Correspondence Analysis (active variables) in their initial reference frame. It shows the n dimensional space before the analysis is done. To see initial dimensions axes in the space built by the analysis (principal axes), use ggmca_with_base_ref.

Usage

ggmca_initial_dims(
  res.mca,
  data,
  proj_just = c(1.5, 2),
  cleannames = TRUE,
  keep = NULL
)

Arguments

res.mca	An object created with multiple_correspondence_analysis or FactoMineR::MCA.
data	The data frame the analysis was made on. Optional: the analysis keeps its levels in the data's order. It is accepted so that every 'ggmca_*' function takes '(res.mca, data)'.
proj_just	Horizontal justification of text of the coordinates on axes, as a character vector of length 2 (x and y).
cleannames	Set to TRUE to clean levels names, by removing prefix numbers like "1-", and text in parentheses.
keep	A character vector of the name of active variables to keep.

Value

A ggplot object to be printed in the 'RStudio' Plots pane. Possibility to add other gg objects with +. Sending the result through ggi will draw the interactive graph in the Viewer pane using girafe.

Examples

data(tea, package = "FactoMineR")
res.mca <- multiple_correspondence_analysis(tea, 1:18)
ggmca_initial_dims(res.mca, tea)

ggfacto documentation built on Sept. 23, 2026, 1:08 a.m.