DataVisualizations: Visualizations of High-Dimensional Data

Various visualizations of high-dimensional data such as 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 and many more are presented here. Additionally, '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>.

Version: 0.9.2
Imports: Rcpp (≥ 0.12.12), AdaptGauss, ggplot2, magrittr
LinkingTo: Rcpp, RcppArmadillo
Suggests: plotly, plyr, akima, ggmap, reshape2
Published: 2018-01-30
Author: Michael Thrun [aut, cre, cph], 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_0.9.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: DataVisualizations_0.9.2.tgz
OS X Mavericks binaries: r-oldrel: not available

Reverse dependencies:

Reverse suggests: DatabionicSwarm, GeneralizedUmatrix, ProjectionBasedClustering


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