MFA: Multiple Factor Analysis (MFA)

In missRows: Handling Missing Individuals in Multi-Omics Data Integration

Description

Perform Multiple Factor Analysis on quantitative variables. This function is internally called by MIMFA and is not usually called directly by a user.

Usage

MFA(dataTables, ncomp, nbRows, nbTables, ncTables)

Arguments

dataTables	a list containing data tables without missing data. Tables in the list should be arranged in samples x variables, with samples order matching in all data tables.
ncomp	a number of components to include in MFA.
nbRows	a number of rows, equal for all data tables.
nbTables	a number of data tables in dataTables.
ncTables	a vector containing the number of columns per data table.

Details

MFA function performs Multiple Factor Analysis in the sense of Escofier-Pages on data tables of quantitative variables.

Value

MFA returns a matrix of individuals coordinates.

Author(s)

Ignacio González, Valentin Voillet

References

Escofier, B. and Pages, J. (1994) Multiple Factor Analysis (AFMULT package). Computational Statistics and Data Analysis, 18, 121-140.

See Also

MFA in FactoMineR

missRows documentation built on Nov. 8, 2020, 5:27 p.m.