Combination of Factorial Methods and Cluster Analysis
Add grids to a scatterplot3d (modified)
Centroids of the Classes of a Partition
Cluster Characterization by Variables
Chisquare tests of a qualitative variable by several qualitative varia...
LaTeX Tables of Coordinates and Aids to Interpretation of Principal Ax...
Division of qualitative and quantitative variables
Combination of Factorial Methods and Cluster Analysis
Table of Coordinates, Aids of Interpretation of the Principal Axes and...
K-means with Weights of the Elements
list to data.frame
Factorial Planes from Objects of Class dudi
Correlation circle from coordinates
Row and Column Profiles of a Contingency Table
Factorial Planes Showing the Classes
Factorial Planes from Coordinates
Modified pairs plot
Stable clusters for cluster analysis
Projection of Qualitative Variables in PCA and MCA
Hierarchic Classification by Ward's Method
Some functions of 'ade4' and 'stats' are combined in order to obtain a partition of the rows of a data table, with columns representing variables of scales: quantitative, qualitative or frequency. First, a principal axes method is performed and then, a combination of Ward agglomerative hierarchical classification and K-means is performed, using some of the first coordinates obtained from the previous principal axes method. In order to permit different weights of the elements to be clustered, the function 'kmeansW', programmed in C++, is included. It is a modification of 'kmeans'. Some graphical functions include the option: 'gg=FALSE'. When 'gg=TRUE', they use the 'ggplot2' and 'ggrepel' packages to avoid the super-position of the labels.