Description Details Author(s) References
This package offers a variety of functions that can be used for categorical data analysis or at least have to do with categorical data.
Among the most interesting features are
rmb | RMB plots visualize contingency tables. |
The function offers different visualizations of conditional distributions and their corresponding weights (frequencies) | |
including multiple barcharts, spineplots and piecharts. There are different ways of displaying the residuals from statistical models. | |
scpcp | A static version of CPCP plots with labeling and color options. |
optile | The OPTILE interface was developed for the Google Summer of Code 2011. |
It offers a variety of reordering techniques for contingency tables. | |
The reordering of the categories not only improves visualizations. | |
rmbmat | A matrix of RMB plots not unlike a Scatterplot matrix (SPLOM) is produced. |
It uses binning for continuous data. | |
hexpie | After a hexagonal binning of x and y a third categorical target variable |
is displayed via piecharts (or embedded hexagons) within the hexagons. This avoids problems with overplotting. | |
quickfechner | A very fast implementation of the fechnerian scaling technique, |
which computes a fechnerian distance matrix from a (dis.)similarity matrix. | |
The technique is equivalent to a shortest path algorithm. | |
fluctile | Offers two- or multidimensional fluctuation diagrams and multiple barcharts. |
arsim | Simulates categorical data arrays of any dimension. |
The number of observations, the number of block clusters and the noise level and type can be chosen. | |
Package: | extracat |
Type: | Package |
Version: | 1.6-4 |
Date: | 2013-12-11 |
License: | - |
LazyLoad: | yes |
Alexander Pilhoefer
Department for Computer Oriented Statistics and Data Analysis
University of Augsburg
Germany
Maintainer: Alexander Pilhoefer alexander.pilhoefer@math.uni-augsburg.de
Alexander Pilhoefer, Antony Unwin (2013). New Approaches in Visualization of Categorical Data: R Package extracat. Journal of Statistical Software, 53(7), 1-25. URL http://www.jstatsoft.org/v53/i07/
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