ggadd_attractions: Plot of attractions between categories

In GDAtools: Geometric Data Analysis

Plot of attractions between categories

Description

Adds attractions between categories, as measured by phi coefficients or percentages of maximum deviation (PEM), by plotting segments onto a MCA cloud of variables.

Usage

ggadd_attractions(p, resmca, axes = c(1,2), measure = "phi", min.asso = 0.3,
col.segment = "lightgray", col.text = "black", text.size = 3)

Arguments

p	ggplot2 object with the cloud of variables
resmca	object of class MCA, speMCA, csMCA, stMCA or multiMCA.
axes	numeric vector of length 2, specifying the components (axes) to plot. Default is c(1,2).
measure	character string. The measure for attractions: "phi" (default) for phi coefficients, "pem" for percentages of maximum deviation (PEM).
min.asso	numerical value ranging from 0 to 1. The minimal attraction value for segments to be plotted. Default is 0.3.
col.segment	Character string with the color of the segments. Default is lightgray.
col.text	Character string with the color of the labels of the categories. Default is black.
text.size	Size of the labels of categories. Default is 3.

Value

a ggplot2 object

Author(s)

Nicolas Robette

References

Cibois, Philippe. Les méthodes d’analyse d’enquêtes. Nouvelle édition [en ligne]. Lyon: ENS Éditions, 2014. <http://books.openedition.org/enseditions/1443>

See Also

ggcloud_variables

Examples

# specific MCA on Taste example data set
data(Taste)
junk <- c("FrenchPop.NA", "Rap.NA", "Rock.NA", "Jazz.NA", "Classical.NA",
          "Comedy.NA", "Crime.NA", "Animation.NA", "SciFi.NA", "Love.NA", 
          "Musical.NA")
mca <- speMCA(Taste[,1:11], excl = junk)
# Plots attractions
p <- ggcloud_variables(mca, col="white", legend="none")
ggadd_attractions(p, mca, measure="phi", min.asso=0.1)

GDAtools documentation built on Oct. 6, 2023, 5:07 p.m.