multigroup (version 0.4.5)

DSTATIS: Dual STATIS

Description

Dual STATIS

Usage

DSTATIS(Data, Group, ncomp = NULL, Scale = FALSE, graph = FALSE)

Arguments

Data

a numeric matrix or data frame

Group

a vector of factors associated with group structure

ncomp

number of components, if NULL number of components is equal to 2

Scale

scaling variables, by defalt is False. By default data are centered within groups.

graph

should loading and component be plotted

Value

list with the following results:

Data

original data

Con.Data

Concatenated centered data

split.Data

Group centered data

Group

Group as a factor vector

RV

The RV coefficient matrix

weights

Vector of weights

compromise.matrix

Compromise variance-covariance matrix

loadings.common

Matrix of common loadings

lambda

The specific variances of group

References

C. Lavit (1988). Analyse conjointe de tableaux quantitatifs. Masson.

C. Lavit, Y. Escoufier, R. Sabatier and P. Traissac (1994). The ACT (STATIS method). Computational Statistics & Data Analysis, 18, 97-117.

A. Eslami, E. M. Qannari, A. Kohler and S. Bougeard (2013). General overview of methods of analysis of multi-group datasets, Revue des Nouvelles Technologies de l'Information, 25, 108-123.

See Also

mgPCA, FCPCA, DCCSWA, BGC, DGPA, summarize, TBWvariance, loadingsplot, scoreplot, iris

Examples

# NOT RUN {
Data = iris[,-5]
Group = iris[,5]
res.DSTATIS = DSTATIS(Data, Group, graph=TRUE)
loadingsplot(res.DSTATIS, axes=c(1,2))
scoreplot(res.DSTATIS, axes=c(1,2)) 
# }