plot.AFDM {FactoMineR}R Documentation

Draw the Multiple Factor Analysis for Mixt Data graphs

Description

Draw the Multiple Factor Analysis for Mixt Data graphs.

Usage

## S3 method for class 'AFDM':
plot(x, choix = "group", axes = c(1, 2), lab.grpe = TRUE,
    lab.var = TRUE, lab.ind = TRUE, habillage = "none", col.lab = FALSE,
    col.hab = NULL, invisible = NULL, lim.cos2.var = 0.1, xlim = NULL,
    ylim = NULL, ...)

Arguments

x an object of class AFDM
choix a string corresponding to the graph that you want to do ("ind" for the individual or qualitative variables graph, "var" for the quantitative variables graph, "axes" for the graph of the partial axes, "group" for the groups representation)
axes a length 2 vector specifying the components to plot
lab.grpe boolean, if TRUE, the label of the groups are drwan
lab.var boolean indicating if the labelled of the variables should be drawn on the map
lab.ind boolean indicating if the labelled of the individuals should be drawn on the map
habillage string equal to "row" to labelled the row elements or "col" to labelled the columns elements
col.lab boolean indicating if the labelled should be colored
col.hab vector indicating the colors to use to labelled the rows or columns elements chosen in habillage
invisible string indicating if some points should be unlabelled ("row" or "col")
lim.cos2.var value of the square cosinus under the variables are not drawn
xlim range for the plotted 'x' values, defaulting to the range of the finite values of 'x'
ylim range for the plotted 'y' values, defaulting to the range of the finite values of 'y'
... further arguments passed to or from other methods

Value

Returns the individuals factor map and the variables factor map.

Author(s)

Jérémy Mazet, François Husson François.Husson@agrocampus-rennes.fr

See Also

AFDM


[Package FactoMineR version 1.00 Index]