EMA (version 1.4.4)

runMFA: Function to perform a Multiple Factor Analysis.

Description

This function allows to perform a Multiple Factor Analysis and to build a report with the main statistics and the main graphics.

Usage

runMFA(Data, group = NULL, ncp = 5, name.group = NULL, type = NULL,
ind.sup = NULL, num.group.sup = NULL, graph = TRUE,
report.file = NULL, report.pdf = NULL)

Arguments

Data

A data.frame or a list, see details

group

A vector indicating the number of variables in each group

ncp

Number of components to keep

name.group

Names of the groups of variables, default is NULL

type

the type of variables in each group; three possibilities: "c" or "s" for quantitative variables (the difference is that for "s" variables are scaled to unit variance), "n" for qualitative variables; by default, all variables are quantitative and scaled to unit variance

ind.sup

A vector indicating the indexes of the supplementary individuals

num.group.sup

The indexes of the illustrative groups (by default, NULL and no group are illustrative)

graph

boolean, if TRUE a graph is displayed

report.file

Name of the txt file for the text report

report.pdf

Name of the pdf file for the graphical report

Details

Data can either be a data.frame with all the groups binded or a list containing all the groups such list(group1=group1, group2=group2, ...). In the case of a data.frame, group must be indicated.

The analysis report can also be build later by using functun MFAreport.

See Also

MFA, plot.MFA, MFAreport

Examples

data(marty)
## Perform a MFA on splitted data
resMFA <- runMFA(Data=list(group1=t(marty[1:100,]),
group2=t(marty[101:200,])), type=c("c", "c"), graph=FALSE)
## Not run: 
# ## plot global analysis with partial individuals
# plot(resMFA, choix="ind", partial="all")
# 
# ## plot groups link
# plot(resMFA, choix="group")
# ## End(Not run)