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 gmx.net> |
| License: |
GPL-3 |
| URL: |
http://www.deepbionics.de |
| NeedsCompilation: |
yes |
| SystemRequirements: |
C++11 |
| CRAN checks: |
DataVisualizations results |