boot: Simulate virtual panels for several functions

In SensoMineR: Sensory Data Analysis

Simulate virtual panels for several functions

Description

Simulate virtual panels for the sorting task, the napping, the sorting napping, the free choice profiling, the hierarchical sorting task

Usage

boot(X, method = "sorting", axes = 1:2, scale = TRUE, ncp = NULL, group = NULL,
    nbsim = 200,level.conf = 0.95,nbchoix = NULL,color = NULL,cex = 0.8, 
    title = NULL, new.plot = TRUE)

Arguments

X	data.frame
method	String with the method to use. The argument can be "sorting" (the default for sorting task data), "napping" (for napping data), "sortnapping" (for sorted napping), "freechoice" (for free choice profiling), "hsort" (for hierarchical sorting task data).
axes	a length 2 vector specifying the components to plot
scale	boolean, used when method="freechoice"; if TRUE, the variables are scaled
ncp	number of components used to procrustes the virtual subspaces on the true subspace; by default NULL and the number of components is estimated
group	a list indicating the number of variables in each group; used when method="freechoice" or method="hsort"
nbsim	the number of simulations (corresponding to the number of virtual panels) used to compute the ellipses
level.conf	confidence level used to construct the ellipses. By default, 0.95
nbchoix	the number of panelists forming a virtual panel, by default the number of panelists in the original panel
color	a vector with the colors used; by default there are 35 colors defined
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)
new.plot	boolean, if TRUE, a new graphical device is created

Details

Calculate virtual panels by bootstrap of the panelists. For each virtual panel, calculate the mean configuration and procrustes this configuration on the true configuration obtained from the true panel.

Value

Returns a list with estim.ncp which corresponds to the output of the estim_ncp function (function which estimates the number of components) and the simul object which can be used with the plotellipse function.

Author(s)

Marine Cadoret and Francois Husson

Examples

## Not run: 
######## Napping example
data(napping)
res <- boot(napping.don,method="napping")

######## Sorting task example
data(perfume)
res <- boot(perfume,method="sorting")

######## Sorted task napping example
data(smoothies)
res <- boot(smoothies,method="sortnapping")

######## Hierarchical sorting task example
data(cards)
group.cards<-c(2,3,3,2,2,4,2,3,2,1,3,2,3,3,3,2,3,3,2,3,3,3,3,3,3,3,3,3,3,3)
res <- boot(cards,method="hsort", group=group.cards)

######## Free choice profiling example
data(perfume_fcp)
res <- boot(perfume_fcp, method="freechoice", group = c(12,7,7,7,6,8))

## End(Not run)

SensoMineR documentation built on May 29, 2024, 5:01 a.m.