DataVisualizations: Visualizations of High-Dimensional Data

A collection of various visualizations methods is provided. With regards to high-dimensional data the heat map and silhouette plot for grouped data,visualizations of the distribution of distances, the scatter-density plot for two variables,the Shepard density plot as well as the Bland-Altman plot are presented here. For a classification of countries, a map of the world or Germany can be visualized. 'DataVisualizations' makes it possible to inspect the distribution of each feature of a dataset visually through the combination of four methods.More detailed explanations can be found in the book of Thrun, M.C.:"Projection-Based Clustering through Self-Organization and Swarm Intelligence" (2018) <doi:10.1007/978-3-658-20540-9>. Furthermore, for categorical features the ABC analysis improved Pie charts, slope charts and fan plots are usable. Additionally, for measurements across a geographic area an easy to use function for a Choropleth map is presented here.

Version: 1.0.0
Depends: R (≥ 2.10)
Imports: Rcpp (≥ 0.12.12), AdaptGauss, ggplot2, magrittr
LinkingTo: Rcpp, RcppArmadillo
Suggests: plotly, plyr, akima, ggmap, reshape2, plotrix, rworldmap, rgl, ABCanalysis, choroplethr, gplots, dplyr, R6, sp
Published: 2018-05-06
Author: Michael Thrun [aut, cre, cph], Peter Kampstra [aut], Felix Pape [aut, rev], Onno Hansen-Goos [ctr, ctb], Fredericke Matz [ctr, ctb], Alfred Ultsch [dtc, ctb]
Maintainer: Michael Thrun <m.thrun at>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: C++11
CRAN checks: DataVisualizations results


Reference manual: DataVisualizations.pdf
Package source: DataVisualizations_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: DataVisualizations_1.0.0.tgz, r-oldrel: DataVisualizations_1.0.0.tgz
Old sources: DataVisualizations archive

Reverse dependencies:

Reverse suggests: DatabionicSwarm, GeneralizedUmatrix, ProjectionBasedClustering


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