Plot Initial Dimensions (Active Variables) of Multiple Correspondence Analysis

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

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

# }