autoplot.MCA: 'ggplot' output for MCA objects.

In joelgombin/ggplot.acm: ggplot2 plots made easy for Multiple correspondence analysis (MCA)

Description

ggplot output for MCA objects.

Usage

## S3 method for class 'MCA'
autoplot(object, axes = c(1, 2), mod = TRUE,
  quali.sup = TRUE, ind = FALSE, filtre = 0, axis.plot = TRUE,
  alpha = 1, point.type = "petit", ellipses = NA, coloriage = NA,
  taille = FALSE, dl.method = "smart.grid", labels = "all",
  label.size = 5)

Arguments

object	a MCA-class object.
axes	a 2-length vector. Selects which dimensions should be displayed.
mod	whether the variables modalities should be represented.
quali.sup	whether the supplementary (illustrative) variables' modalities should be represented.
ind	whether the individuals should be represented.
filtre	indicates the value of the contribution above which modalities should be represented. If it takes the value "moyenne", then the mean of the contributions is used.
axis.plot	whether the axes should be plotted.
alpha	the alpha parameter for the individual points.
point.type	controls the size of individual points. Can be 'petit' (small) or 'gros' (big).
ellipses	a variable name. Ellipses are drawn for each modality of this variable.
coloriage	a variable name. Individual points are colored acoordingly to the modalities of this variable. In that case, the variables' modalities are drawn in black.
taille	whether the individual (resp. modalities) points' size should be proportional to their weight (resp. contribution).
dl.method	the method to be used for direct labeling. See http://directlabels.r-forge.r-project.org/docs/index.html. If equals to FALSE, then normal text labeling.
labels	which points should be labelled? Can be 'all', 'var', or 'sup'.
label.size	size of the labels. Defaults to 5.

Details

This method takes an object of class MCA, and produces a ggplot2 graphical representation of a factorial plan, with several options.

Value

a ggplot2 object, which is also printed.

See Also

fortify.MCA

Examples

library(FactoMineR)
data(tea)
tea.mca <- MCA(tea[,1:18], graph=FALSE)
autoplot(tea.mca)

joelgombin/ggplot.acm documentation built on May 19, 2019, 3 p.m.