plot.GPApartial: Draw an interactive General Procrustes Analysis (GPA) map

In FactoMineR: Multivariate Exploratory Data Analysis and Data Mining

Draw an interactive General Procrustes Analysis (GPA) map

Description

Draw an interactive General Procrustes Analysis (GPA) map. The graph is interactive and clicking on a point will draw the partial points, if you click on a point for which the partial points are yet drawn, the partial points are deleted. To stop the interactive plot, click on the title (or in the top of the graph)

Usage

plotGPApartial(x, axes = c(1, 2), 
    lab.ind.moy = TRUE, habillage = "ind",
    chrono = FALSE, draw.partial = NULL, 
    xlim = NULL, ylim = NULL, cex = 1, title = NULL, palette = NULL, ...)

Arguments

x	an object of class GPA
axes	a length 2 vector specifying the components to plot
lab.ind.moy	boolean, if TRUE, the label of the mean points are drawn
habillage	string corresponding to the color which are used. If "ind", one color is used for each individual; if "group" the individuals are colored according to the group
chrono	boolean, if TRUE, the partial points of a same point are linked (useful when groups correspond to different moment)
draw.partial	data frame of a boolean variable for all the individuals and all the centers of gravity and with for which the partial points should be drawn (by default, NULL and no partial points are 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'
cex	cf. function par in the graphics package
title	string corresponding to the title of the graph you draw (by default NULL and a title is chosen)
palette	the color palette used to draw the points. By default colors are chosen. If you want to define the colors : palette=palette(c("black","red","blue")); or you can use: palette=palette(rainbow(30)), or in black and white for example: palette=palette(gray(seq(0,.9,len=25)))
...	further arguments passed to or from other methods

Value

Returns the General Procrustes Analysis map.

Author(s)

Elisabeth Morand, Francois Husson [e-mail]

See Also

GPA

FactoMineR documentation built on May 29, 2024, 3:36 a.m.