simulation {SensoMineR} | R Documentation |
simulation(axeAFM, nbchoix = NULL, nbbloc, nbsimul = 500)
axeAFM |
matrix |
nbchoix |
Number of panelist in a virtual Panel |
nbbloc |
Number of bloc for the ktable |
nbsimul |
number of simulations |
Called by the simulation procedure
François Husson
Husson, F., Le Dien, S. & Pagès, J. (2005). Confidence ellipse for the sensory profiles obtained by Principal Components Analysis. Food Quality and Preference. 16 (3). pp. 245-250.
data(chocolates) ktab.donnee <- ktab.data.frame(cbind.data.frame(chocolates[,1], chocolates[,4], chocolates[,-(1:4)]), blocks = c(2,14), tabnames = c("JP","Gr1")) ktab.interesting.desc <- search.desc.ktab(ktab.donnee) axe <- construct.axes(ktab.interesting.desc, scale.unit = TRUE) simul <- simulation(axe, nbbloc = length(ktab.interesting.desc$blo)-1)