MCA analysis of variables and openEHR CDRs. The variables/CDRs are taken from a survey
contents README: this file DimensionsReductionSurvey-12VARIAB_11CDR.ipynb : jupyter notebook MCAAnalysis.r: R script tested with RStudio AASER_11CDR.csv : input for DimensionsReductionSurvey-12VARIAB_11CDR.ipynb input.csv : input for MCAAnalysis.r
Configuration used in tests For python notebook Jupyter Notebook version 6.03 Python 3.8.10 Numpy 1.23.0 Pandas 1.3.2 Prince 0.7.1 matplotlib==3.4.3 matplotlib-inline==0.1.6 plotly==5.4.0 scikit-learn==0.24.2 scikit-learn-extra==0.2.0
For R script R version base 4.3.3 R Studio 2023.12.1 FactoMineR 2.10 corrplot 0.92 factoextra 1.0.7 ggpubr 0.6.0 plotly 4.10.4 ggplot2 3.4.4 rgl (not used here but can be useful 1.3.1) FactoInvestigate (used in MCA, not in FAMD) 1.9