During my Master’s degree program, I led a team of four to create an R package for my class on Statistical Computing. I organized team meetings, split up work assignments, conducted regular code reviews, developed an early prototype, wrote several key functions and created the final presentation.
Multiple Factor Analysis
Multiple factor analysis (MFA, also called multiple factorial analysis) is an extension of principal component analysis (PCA) tailored to handle multiple data tables that measure sets of variables collected on the same observations…
This description is from the paper that this project is based upon: Multiple factor analysis: principal component analysis for multitable and multiblock data sets by Hervé Abdi, Lynne J. Williams and Domininique Valentin (2013)