ggadd_interaction: Adds the interaction between two categorical supplementary...

In GDAtools: A Toolbox for Geometric Data Analysis and More

Adds the interaction between two categorical supplementary variables to a cloud of variables

Description

Adds the interaction between two categorical supplementary variables to a MCA cloud of variables, using the ggplot2 framework.

Usage

ggadd_interaction(p, resmca, v1, v2, sel1=1:nlevels(v1), sel2=1:nlevels(v2),
axes=c(1,2), col=NULL, textsize=5, legend='right')

Arguments

p	ggplot object with the cloud of variables
resmca	object of class MCA, speMCA, csMCA, stMCA or multiMCA.
v1	Factor. The first categorical supplementary variable.
v2	Factor. The second categorical supplementary variable.
sel1	Numeric vector of indexes of the categories of the first supplementary variable to be used in interaction. By default, every categories are used.
sel2	Numeric vector of indexes of the categories of the second supplementary variable to be used in interaction. By default, every categories are used.
axes	numeric vector of length 2, specifying the components (axes) to plot. Default is c(1,2).
col	Colors for the labels of the categories. Can be the name of a palette from the RcolorBrewer package, 'bw' for a black and white palette (uses scale_color_grey()), a character vector of colors for a custom palette, or the name of a color for a single color. If NULL (default), the default palette of ggplot2 is used.
textsize	Size of the labels of categories. Default is 5.
legend	the position of legends ("none", "left", "right", "bottom", "top", or two-element numeric vector). Default is right.

Value

a ggplot object

Author(s)

Nicolas Robette

References

Le Roux B. and Rouanet H., Multiple Correspondence Analysis, SAGE, Series: Quantitative Applications in the Social Sciences, Volume 163, CA:Thousand Oaks (2010).

Le Roux B. and Rouanet H., Geometric Data Analysis: From Correspondence Analysis to Stuctured Data Analysis, Kluwer Academic Publishers, Dordrecht (June 2004).

See Also

ggcloud_variables, ggadd_supvar, ggcloud_indiv, ggadd_corr, ggadd_ellipses, ggadd_density

Examples

## Performs a specific MCA on 'Taste' example data set
## ignoring every 'NA' (i.e. 'not available') categories,
## draws the cloud of categories
## and adds the interaction between Gender and Age.
data(Taste)
getindexcat(Taste[,1:11])
mca <- speMCA(Taste[,1:11],excl=c(3,6,9,12,15,18,21,24,27,30,33))
p <- ggcloud_variables(mca, col='lightgrey', shapes=FALSE)
ggadd_interaction(p, mca, Taste$Gender, Taste$Age)

GDAtools documentation built on March 18, 2022, 5:13 p.m.