plot.fast: Make Factorial Approach for Sorting Task data (FAST) graphs

In SensoMineR: Sensory data analysis with R

Description

Plot the graphs for Factorial Approach for Sorting Task data (FAST).

Usage

plot.fast(x,choix="ind", axes = c(1, 2), xlim = NULL, ylim = NULL, invisible = NULL,
    col.ind = "blue", col.var = "red", col.quali.sup = "darkred", 
    col.ind.sup ="darkblue", col.quanti.sup = "black",label = "all",
    cex = 1,lab.grpe = TRUE, title = NULL, habillage = "none", palette = NULL,
    new.plot = TRUE, ...)
    

Arguments

x	an object of class fast
axes	a length 2 vector specifying the components to plot
choix	the graph to plot ("ind" for the products, "var" for the vcategories, "group" for the consumers)
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'
habillage	give no color for the individuals ("none"), or color the products among a consumer (give the number of the consumer)
col.ind	a color for the products
col.var	a color for the categories
col.quali.sup	a color for the supplementary categories
col.ind.sup	a color for the supplementary individuals
col.quanti.sup	a color for the quantitative supplementary variables
label	a list of character for the elements which are labelled (by default, all the elements are labelled ("ind", "var"))
invisible	string indicating if some points should not be drawn ("ind" or "var")
cex	cf. function par in the graphics package
lab.grpe	boolean, if TRUE, the consumers are labelled
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)))
new.plot	boolean, if TRUE, a new graphical device is created
...	further arguments passed to or from other methods

Value

Returns the products factor map, the categories factor map and the consumers factor map.

Author(s)

Marine Cadoret, S\'ebastien L\^e [e-mail]

See Also

fast

Examples

## Not run: 
data(perfume)
res.fast <- fast(perfume,graph=FALSE)
plot.fast(res.fast,choix="ind",invisible="var",habillage=5)
plot.fast(res.fast,choix="group")

## End(Not run)

SensoMineR documentation built on May 2, 2019, 5:56 p.m.