Structuration des Tableaux à Trois Indices de la Statistique - STATIS

This is a wrapper for the ade4::statis function for computing STATIS.

Usage

statis(X, ncomp = 3, scannf = FALSE, tol = 1e-07, ...)

Arguments

X

list of input blocks.

ncomp

integer number of components to extract.

scannf

logical indicating if eigenvalue bar plot shoulde be displayed.

tol

numeric eigenvalue threshold tolerance.

...

additional arguments (not used).

Value

multiblock object including relevant scores and loadings. Relevant plotting functions: multiblock_plots and result functions: multiblock_results.

Details

STATIS is a method, related to MFA, for analysing two or more blocks. It also decomposes the data into a low-dimensional subspace but uses a different scaling of the individual blocks.

References

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

See also

Overviews of available methods, multiblock, and methods organised by main structure: basic, unsupervised, asca, supervised and complex. Common functions for computation and extraction of results and plotting are found in multiblock_results and multiblock_plots, respectively.

Examples

data(candies)
candyList <- lapply(1:nlevels(candies$candy),function(x)candies$assessment[candies$candy==x,])
can.statis <- statis(candyList)
plot(scores(can.statis), labels="names")