| runMFA {EMA} | R Documentation |
This function allows to perform a Multiple Factor Analysis and to build a report with the main statistics and the main graphics.
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)
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 |
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.
EMA group
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)