statis: Structuration des Tableaux à Trois Indices de la Statistique...

In multiblock: Multiblock Data Fusion in Statistics and Machine Learning

Structuration des Tableaux à Trois Indices de la Statistique - STATIS

Description

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).

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.

Value

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

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")

multiblock documentation built on Nov. 18, 2023, 5:06 p.m.