R/unsupervised.R
statis.Rd
This is a wrapper for the ade4::statis
function for computing STATIS.
statis(X, ncomp = 3, scannf = FALSE, tol = 1e-07, ...)
list
of input blocks.
integer
number of components to extract.
logical
indicating if eigenvalue bar plot shoulde be displayed.
numeric
eigenvalue threshold tolerance.
additional arguments (not used).
multiblock
object including relevant scores and loadings. Relevant plotting functions: multiblock_plots
and result functions: multiblock_results
.
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.
Lavit, C.; Escoufier, Y.; Sabatier, R.; Traissac, P. (1994). The ACT (STATIS method). Computational Statistics & Data Analysis. 18: 97
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.