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| agaricus | Mushrooms |
| ahist | Histogram using active bins |
| approx.dcor | Distance Correlation Approximation |
| arsim | block-structured arrays |
| barysort | row and column moment reordering |
| BCC | The Bertin Classification Criterion |
| BCI | The Bertin Classification Index |
| Burt | Burt atrix |
| carcustomers | The car customers dataset from 1983 |
| CBCI | The Conditional Independence Bertin Classification Index |
| cfcl | Extract clusters from cfluctile |
| cfluctile | Pseudo-Diagonal Partitioning for two-way tables |
| cmat | pairwise association matrix |
| cohen | Cohens Kappa for rectangular matrices |
| combcl | Combine categorical variables from cfluctile and cflcl |
| CPScluster | Clusterings for the US Current Population Survey. |
| cutbw | Active binning |
| dcorMVdata | Multivariate Distance Correlation for two sets of variables |
| dcorMVtable | Multivariate Distance Correlation for two sets of variables |
| dendro | Waterfall Dendrogram |
| dmc | dmc 2009 insurance variables |
| eco | ADAC Eco test data |
| extracat | Categorical Data Analysis and Visualization |
| facetshade | facetshade |
| fluctile | fluctuation diagrams |
| GeneEx | Gene Expression Data |
| getbw | Active binning |
| getcolors | Create a color vector |
| getIs | ME reordering for biclust objects. |
| getIs2 | ME reordering for biclust objects. |
| getpath | Path extracation from quickfechner objects |
| gsac | GSAC |
| heattile | Heatmap with Biclusters |
| hexpie | Hexagonal Binning and Piecharts |
| idat | indicator dataframe |
| imat | indicator variables |
| innerval | Interval boundaries |
| itab | Independence Table |
| JBCI | The Joint Bertin Classification Index |
| kendalls | Kendalls Tau for a matrix |
| ME | Measure of Effectiveness |
| MJnew | Example Matrix Data |
| olives | olive oil fatty acids |
| optile | Reordering Categorical Data |
| optile.list | Reordering Categorical Data |
| optME | Optimizing ME |
| plants | Plants |
| qBCI | Quantile BCI |
| qBCI.data.frame | Quantile BCI |
| qBCI.default | Quantile BCI |
| quickfechner | fechnerian scaling |
| regmax | Regular maximality |
| regmin | Regular maximality |
| rmb | Multiple Barchart for relative frequencies and generalized Spineplots |
| rmb.formula | Multiple Barchart for relative frequencies and generalized Spineplots |
| rmb.ftable | Multiple Barchart for relative frequencies and generalized Spineplots |
| rmb.glm | Multiple Barchart for relative frequencies and generalized Spineplots |
| rmb.table | Multiple Barchart for relative frequencies and generalized Spineplots |
| rmbmat | Pairwise RMB-Plots |
| scpcp | Static Categorical Parallel Coordinates Plot |
| setcover | greedy setcover optimisation |
| sortandcut | Sort-and-Cut Reordering |
| steptile | stepwise reordering |
| subtable | data.frame reduction |
| subtree | subtrees |
| tfluctile | Fluctuation diagram with additional dendrograms |
| untableSet | data.frame conversion |
| USR | MovieLens USER data |
| visdf | Visualizing Indicator Matrices and Missing Values |
| visid | Visualizing Indicator Matrices and Missing Values |
| visna | Visualizing Indicator Matrices and Missing Values |
| WBCI | The Weighted Bertin Classification Index |
| wdcor | Weighted Distance Correlation |
| wdcor.data.frame | Weighted Distance Correlation |
| wdcor.default | Weighted Distance Correlation |
| wdcor.table | Weighted Distance Correlation |