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SensoMineR (version 1.20)

plot.fasnt: Make Factorial Approach for Sorting Napping Task data (FASNT) graphs

Description

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

Usage

"plot"(x,choix="ind", axes = c(1, 2), xlim = NULL, ylim = NULL, invisible = NULL, col.ind = "blue", col.var = "red", lab.ind=TRUE,lab.var=TRUE, lab.coord=TRUE, lab.partial=TRUE, 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 and the categories, "group" for the consumers and "partial" for the partial products)
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
lab.ind
boolean, if TRUE, the products are labelled
lab.var
boolean, if TRUE, the categories associated with categorization are labelled
lab.coord
boolean, if TRUE, the napping variables are labelled
lab.partial
boolean, if TRUE, the partial products are labelled
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, the coordinates factor map and the consumers factor map.

See Also

fasnt

Examples

Run this code
## Not run: 
# data(smoothies)
# res.fasnt <- fasnt(smoothies, first="nappe",graph=FALSE)
# plot.fasnt(res.fasnt,choix="ind",invisible="var",habillage=15,
#   title="Objects colored according to the groups provided by consumer 5")
# plot.fasnt(res.fasnt,choix="partial",lab.partial=FALSE)
# ## End(Not run)

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