MFAanalyses
MFA analyses refer to analyses based on Multiple Factor Analysis (MFA), a multivariate exploratory technique that generalizes principal component analysis to data organized in separate blocks measured on the same set of individuals. MFA discovers common structure across blocks while respecting the grouping of variables, and it provides a global set of factors along with block-specific contributions.
In a typical MFA workflow, the data consist of an observation matrix and a collection of blocks,
Variants of MFA include exploratory MFA, hierarchical MFA, and partial MFA, as well as extensions that handle
Applications span social sciences, marketing, ecology, and biology, including consumer profiling, cross-domain data integration, and multi-omics
See also: Principal Component Analysis, Factor Analysis, Multiple Factor Analysis, data integration.