Multivariate Analysis of Mixed Data: The R Package PCAmixdata
KUENTZ-SIMONET, Vanessa
Environnement, territoires en transition, infrastructures, sociétés [UR ETTIS]
See more >
Environnement, territoires en transition, infrastructures, sociétés [UR ETTIS]
KUENTZ-SIMONET, Vanessa
Environnement, territoires en transition, infrastructures, sociétés [UR ETTIS]
< Reduce
Environnement, territoires en transition, infrastructures, sociétés [UR ETTIS]
Language
en
Article de revue
This item was published in
Electronic Journal of Applied Statistical Analysis. 2022, vol. 15, n° 3
ESE - Salento University Publishing
English Abstract
Mixed data arise when observations are described by a mixture of numerical and categorical variables. The R package PCAmixdata extends to this type of data standard multivariate analysis methods which allow description, ...Read more >
Mixed data arise when observations are described by a mixture of numerical and categorical variables. The R package PCAmixdata extends to this type of data standard multivariate analysis methods which allow description, exploration and visualization of the data. The key techniques/methods included in the package are principal component analysis for mixed data (PCAmix), varimax-like orthogonal rotation for PCAmix, and multiple factor analysis for mixed multi-table data. This paper proposes a unified mathematical presentation of the different methods with common notations, as well as providing a summarised presentation of the three algorithms, with details to help the user understand graphical and numerical outputs of the corresponding R functions. This then allows the user to easily provide relevant interpretations of the results obtained. The three main methods are illustrated on a real dataset composed of four data tables characterizing living conditions in different municipalities in the Gironde region of southwest France.Read less <
English Keywords
mixture of numerical and categorical data
PCA
multiple correspondence anal- ysis
multiple factor analysis
varimax rotation
R
Origin
Hal imported