Graphical Aid in Correspondence Analysis Interpretation and Significance Testings
Malinvaud's test for significance of the CA dimensions
Average Rule chart
Clustering row/column categories on the basis of Correspondence Analys...
Chart of correlation between rows and columns categories
Package for Graphical Aid in Correspondence Analysis Interpretation an...
Perceptual map-like Correspondence Analysis scatterplot
Intepretation-oriented Correspondence Analysis scatterplots, with info...
Facility for interpretation-oriented CA scatterplot
Scatterplot visualization facility
Columns contribution chart
Scatterplot for column categories contribution to dimensions
Chart of columns correlation with a selected dimension
Scatterplot for column categories correlation with dimensions
Chart of columns quality of the display
Define groups of categories on the basis of a selected partition into ...
Rescaling row/column categories coordinates between a minimum and maxi...
Rows contribution chart
Scatterplot for row categories contribution to dimensions
Chart of rows correlation with a selected dimension
Scatterplot for row categories correlation with dimensions
Chart of rows quality of the display
Permuted significance of CA dimensions
Scree plot to test the significance of CA dimensions by means of a ran...
Permuted significance of the CA total inertia
Collapse rows and columns of a table on the basis of hierarchical clus...
Allows to plot a number of information related to the interpretation of Correspondence Analysis' results. It provides the facility to plot the contribution of rows and columns categories to the principal dimensions, the quality of points display on selected dimensions, the correlation of row and column categories to selected dimensions, etc. It also allows to assess which dimension(s) is important for the data structure interpretation by means of different statistics and tests. The package also offers the facility to plot the permuted distribution of the table total inertia as well as of the inertia accounted for by pairs of selected dimensions. Different facilities are also provided that aim to produce interpretation-oriented scatterplots. Reference: Alberti 2015 <doi:10.1016/j.softx.2015.07.001>.