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