ifa: Inter-battery Factor Analysis - IFA

In multiblock: Multiblock Data Fusion in Statistics and Machine Learning

Inter-battery Factor Analysis - IFA

Description

This is a wrapper for the RGCCA::rgcca function for computing IFA.

Usage

ifa(X, ncomp = 1, scale = FALSE, verbose = FALSE, ...)

Arguments

X	list of input data blocks.
ncomp	integer number of principal components to return.
scale	logical indicating if variables should be standardised (default=FALSE).
verbose	logical indicating if intermediate results should be printed.
...	additional arguments to RGCCA::rgcca.

Details

IFA rotates two matrices to align one or more factors against each other, maximising correlations.

Value

multiblock object with associated with printing, scores, loadings. Relevant plotting functions: multiblock_plots and result functions: multiblock_results.

References

Tucker, L. R. (1958). An inter-battery method of factor analysis. Psychometrika, 23(2), 111-136.

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(potato)
X <- potato$Chemical

ifa.pot  <- ifa(potato[1:2])

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