Multivariate exploratory data analysis in R
Overview
FactoMineR2 is a ground-up rewrite of FactoMineR that provides a set of functions for multivariate exploratory data analysis. It is designed to be a more user-friendly version of FactoMineR. The main goal was to make the package more intuitive and easier to use. The package is still under development, and some functions are not yet implemented. However, the main functions are already available.
Installation
The latest version can be installed from GitHub as follows:
install.packages("devtools")
devtools::install_github("alexym1/FactoMineR2")Example
library(FactoMineR2)
# Get active individuals
X_active <- standardize_norm(iris[,-5])
head(X_active)
#> Sepal.Length Sepal.Width Petal.Length Petal.Width
#> [1,] -0.8976739 1.01560199 -1.335752 -1.311052
#> [2,] -1.1392005 -0.13153881 -1.335752 -1.311052
#> [3,] -1.3807271 0.32731751 -1.392399 -1.311052
#> [4,] -1.5014904 0.09788935 -1.279104 -1.311052
#> [5,] -1.0184372 1.24503015 -1.335752 -1.311052
#> [6,] -0.5353840 1.93331463 -1.165809 -1.048667
# Get eigs
eigs <- get_eigen(X_active)
eigs$values
#> [1] 434.856175 136.190540 21.866774 3.086511
eigs$vectors
#> Dim.1 Dim.2 Dim.3 Dim.4
#> Sepal.Length 0.5210659 -0.37741762 0.7195664 0.2612863
#> Sepal.Width -0.2693474 -0.92329566 -0.2443818 -0.1235096
#> Petal.Length 0.5804131 -0.02449161 -0.1421264 -0.8014492
#> Petal.Width 0.5648565 -0.06694199 -0.6342727 0.5235971
head(eigs$U)
#> [,1] [,2] [,3] [,4]
#> [1,] -0.10823953 -0.04099580 0.027218646 0.013710648
#> [2,] -0.09945776 0.05757315 0.050003401 0.058435855
#> [3,] -0.11299630 0.02920003 -0.009420891 0.016098333
#> [4,] -0.10989710 0.05101939 -0.019457133 -0.037416661
#> [5,] -0.11422046 -0.05524180 -0.003354363 -0.020379051
#> [6,] -0.09920300 -0.12718049 -0.005747892 0.003748828
# Get principal components
ind_coords <- pca_ind_coords(eigs)
head(ind_coords)
#> [,1] [,2] [,3] [,4]
#> [1,] -2.257141 -0.4784238 0.12727962 0.024087508
#> [2,] -2.074013 0.6718827 0.23382552 0.102662845
#> [3,] -2.356335 0.3407664 -0.04405390 0.028282305
#> [4,] -2.291707 0.5953999 -0.09098530 -0.065735340
#> [5,] -2.381863 -0.6446757 -0.01568565 -0.035802870
#> [6,] -2.068701 -1.4842053 -0.02687825 0.006586116Code of conduct
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.