Dual STATIS
Dual STATIS
DSTATIS(Data, Group, ncomp = NULL, Scale = FALSE, graph = FALSE)
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 |
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 |
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.
mgPCA, FCPCA, DCCSWA, BGC, DGPA, summarize, TBWvariance, loadingsplot, scoreplot, iris
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))
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