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extracat (version 1.7-4)
Categorical Data Analysis and Visualization
Description
Categorical Data Analysis and Visualization.
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Install
install.packages('extracat')
Monthly Downloads
164
Version
1.7-4
License
GPL (>= 2)
Maintainer
Alexander Pilhoefer
Last Published
November 21st, 2015
Functions in extracat (1.7-4)
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hexpie
Hexagonal Binning and Piecharts
USR
MovieLens USER data
wdcor
Weighted Distance Correlation
getIs2
ME reordering for biclust objects.
rmb
Multiple Barchart for relative frequencies and generalized Spineplots
sortandcut
Sort-and-Cut Reordering
cfluctile
Pseudo-Diagonal Partitioning for two-way tables
ME
Measure of Effectiveness
CBCI
The Conditional Independence Bertin Classification Index
scpcp
Static Categorical Parallel Coordinates Plot
dcorMVdata
Multivariate Distance Correlation for two sets of variables
optME
Optimizing ME
gsac
GSAC
GeneEx
Gene Expression Data
BCC
The Bertin Classification Criterion
carcustomers
The car customers dataset from 1983
dmc
dmc 2009 insurance variables
cfcl
Extract clusters from cfluctile
cutbw
Active binning
innerval
Interval boundaries
JBCI
The Joint Bertin Classification Index
rmbmat
Pairwise RMB-Plots
Burt
Burt atrix
cohen
Cohens Kappa for rectangular matrices
kendalls
Kendalls Tau for a matrix
dendro
Waterfall Dendrogram
itab
Independence Table
ahist
Histogram using active bins
imat
indicator variables
visid
Visualizing Indicator Matrices and Missing Values
getIs
ME reordering for biclust objects.
heattile
Heatmap with Biclusters
quickfechner
fechnerian scaling
approx.dcor
Distance Correlation Approximation
BCI
The Bertin Classification Index
WBCI
The Weighted Bertin Classification Index
cmat
pairwise association matrix
fluctile
fluctuation diagrams
idat
indicator dataframe
setcover
greedy setcover optimisation
subtree
subtrees
steptile
stepwise reordering
plants
Plants
tfluctile
Fluctuation diagram with additional dendrograms
regmax
Regular maximality
barysort
row and column moment reordering
getbw
Active binning
dcorMVtable
Multivariate Distance Correlation for two sets of variables
getcolors
Create a color vector
combcl
Combine categorical variables from cfluctile and cflcl
getpath
Path extracation from quickfechner objects
subtable
data.frame reduction
untableSet
data.frame conversion
arsim
block-structured arrays
qBCI
Quantile BCI
extracat
Categorical Data Analysis and Visualization
optile
Reordering Categorical Data
olives
olive oil fatty acids
CPScluster
Clusterings for the US Current Population Survey.
facetshade
facetshade
MJnew
Example Matrix Data
agaricus
Mushrooms
eco
ADAC Eco test data