R: Graphical Aid in Correspondence Analysis Interpretation and Significance Testings

# Graphical Aid in Correspondence Analysis Interpretation and Significance Testings

## Documentation for package ‘CAinterprTools’ version 1.1.0

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

CAinterprTools-package | Package for Graphical Aid in Correspondence Analysis Interpretation and Significance Testings
aver.rule | Average Rule chart
brand_coffee | Dataset: Cross-tabulation of coffee brands vs. consumers' opinion
breakfast | Dataset: Cross-tabulation of breakfast food vs consumers' opinion
caCluster | Clustering row/column categories on the basis of Correspondence Analysis coordinates from a space of user-defined dimensionality.
caCorr | Chart of correlation between rows and columns categories
CAinterprTools | Package for Graphical Aid in Correspondence Analysis Interpretation and Significance Testings
caPercept | Perceptual map-like Correspondence Analysis scatterplot
caPlot | Intepretation-oriented Correspondence Analysis scatterplots, with informative and flexible (non-overlapping) labels.
caPlus | Facility for interpretation-oriented CA scatterplot
caScatter | Scatterplot visualization facility
cols.cntr | Columns contribution chart
cols.cntr.scatter | Scatterplot for column categories contribution to dimensions
cols.corr | Chart of columns correlation with a selected dimension
cols.corr.scatter | Scatterplot for column categories correlation with dimensions
cols.qlt | Chart of columns quality of the display
diseases | Dataset: Cross-tabulation of quantity of tobacco smoked daily vs. cause of death
fire_loss | Dataset: Cross-tabulation of cause of fire vs. amount of money loss
greenacre_data | Dataset: Cross-tabulation of funding category vs. University faculty
groupBycoord | Define groups of categories on the basis of a selected partition into k groups employing the Jenks' natural break method on the selected dimension's coordinates
malinvaud | Malinvaud's test for significance of the CA dimensions
rescale | Rescaling row/column categories coordinates between a minimum and maximum value
rows.cntr | Rows contribution chart
rows.cntr.scatter | Scatterplot for row categories contribution to dimensions
rows.corr | Chart of rows correlation with a selected dimension
rows.corr.scatter | Scatterplot for row categories correlation with dimensions
rows.qlt | Chart of rows quality of the display
sig.dim.perm | Permuted significance of CA dimensions
sig.dim.perm.scree | Scree plot to test the significance of CA dimensions by means of a randomized procedure
sig.tot.inertia.perm | Permuted significance of the CA total inertia
table.collapse | Collapse rows and columns of a table on the basis of hierarchical clustering