GDAtools (version 2.3.1)

ggadd_supvars: Plot of categorical supplementary variables

Description

Adds categorical supplementary variables to a MCA cloud of variables.

Usage

ggadd_supvars(p, resmca, vars, excl = NULL, points = "all", min.cos2 = 0.1,
axes = c(1,2), col = NULL,
shapes = FALSE, prop = NULL, textsize = 3, shapesize = 6,
vlab = TRUE, vname = NULL,
force = 1, max.overlaps = Inf)

Value

a ggplot2 object

Arguments

p

ggplot2 object with the cloud of variables

resmca

object created with MCA, speMCA, csMCA, wcMCA, bcMCA, stMCA or multiMCA function

vars

A data frame of categorical supplementary variables. All these variables should be factors.

excl

character vector of supplementary categories to exclude from the plot, specified in the form "namevariable.namecategory" (for instance "Gender.Men"). If NULL (default), all the supplementary categories are plotted.

points

character string. If 'all' all categories are plotted (default); if 'besth' only those with a minimum squared cosine on horizontal axis are plotted; if 'bestv' only those with a minimum squared cosine on vertical axis are plotted; if 'besthv' only those with a minimum squared cosine on horizontal or vertical axis are plotted; if 'best' only those with a minimum squared cosine on the plane are plotted.

min.cos2

numerical value. The minimal squared cosine if 'points' argument is different from 'all'. Default

axes

numeric vector of length 2, specifying the components (axes) to plot. Default is c(1,2).

col

character string. Color name for the labels (and the shapes if shapes=TRUE) of the categories. If NULL, the default palette of ggplot2 is used, with one color per variable.

shapes

Logical. If TRUE, symbols are used in addition to the labels of categories. Default is FALSE.

prop

If NULL, the size of the labels (if shapes=FALSE), or of the labels and the shapes (if shapes=TRUE) is constant. If 'n', the size is proportional the the weights of categories; if 'vtest1', the size is proportional to the test values of the categories on the first dimension of the plot; if 'vtest2', the size is proportional to the test values of the categories on the second dimension of the plot; if 'cos1', the size is proportional to the cosines of the categories on the first dimension of the plot; if 'cos2', the size is proportional to the cosines of the categories on the second dimension of the plot; if 'cos12', the size is proportional to the total cosines of the categories on the two dimensions of the plot.

textsize

Size of the labels of categories if shapes is TRUE, or if shapes is FALSE and prop is NULL. Default is 3.

shapesize

Size of the shapes if prop=NULL, maximum size of the shapes in other cases. Default is 6.

vlab

Logical. If TRUE (default), the variable name is added as a prefix for the labels of the categories.

vname

deprecated, use vlab instead

force

Force of repulsion between overlapping text labels. Defaults to 1. If 0, labels are not repelled at all.

max.overlaps

Exclude text labels that overlap too many things. Defaults to Inf, which means no labels are excluded.

Author

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, ggadd_ellipses, ggadd_kellipses, ggadd_density, ggadd_interaction, ggsmoothed_supvar, ggadd_chulls, ggadd_corr

Examples

# specific MCA of Music example data set
data(Music)
junk <- c("FrenchPop.NA", "Rap.NA", "Rock.NA", "Jazz.NA", "Classical.NA")
mca <- speMCA(Music[,1:5], excl = junk)
# adds several supplementary variables
# onto the cloud of variables
p <- ggcloud_variables(mca, col = "lightgrey", shapes = FALSE)
ggadd_supvars(p, mca, Music[, c("Gender","Age")])
# the same, excluding men
ggadd_supvars(p, mca, Music[, c("Gender","Age")], excl = "Gender.Men")
# the same, keeping only categories
# with cos2 >= 0.001 for dimension 1
ggadd_supvars(p, mca, Music[, c("Gender","Age")], points = "besth", min.cos2 = 0.001)