SensoMineR (version 1.0)

mfasenso: Make MFA (or PCA) with illustrative individuals

Usage

mfasenso(ktab, ktab.illu = NULL, scale.unit = TRUE, nbcoord = 2, 
    poids = NULL)

Arguments

ktab

ktableau with active individuals

ktab.illu

ktableau with illustrative individuals

scale.unit

Boolean, TRUE if the variables are scaled to unit

nbcoord

number of coordinates

poids

vector of the weight of the variables (by default, all the variables hace the same weight)

Value

Details

Factor analysis is done. Two ktable are required, the first one concern the active individuals, the second one concerns the illustrative individuals. The outputs are the coordinates of the active and illustrative individuals (the mean points and the partial points if the method used is an MFA). If in the ktables, there is only one group of variable, then a PCA is done (else an MFA).

References

Escofier B., Pag�s J. (1988, 1990, 1993, 1998) Analyses factorielles simples et multiples. Objectifs m�thodes et interpr�tation. Dunod. Paris. Pag�s, J. & Husson, F. (2005) Multiple Factor Analysis with confidence ellipses: a useful methodology to study the relations between sensory and instrumental data. Journal of chemometrics.

Examples

## PCA 
data(chocolates)
ktab.donnee <- ktab.data.frame(cbind.data.frame(chocolates[,1],
    chocolates[,4], chocolates[,-(1:4)]), blocks = c(2,14),
    tabnames = c("JP","Desc"))

## MFA 
data(chocolates)
ktab.donnee <- ktab.data.frame(cbind.data.frame(chocolates[,1],
    chocolates[,4], chocolates[,-(1:4)]), blocks = c(2,6,8),
    tabnames = c("JP","A-F","T-S"))