A collection of various visualizations methods is provided. In the case of exploratory data analysis, 'DataVisualizations' makes it possible to inspect the distribution of each feature of a dataset visually through the combination of four methods. One of these methods is the Pareto density estimation (PDE) of the probability density function (pdf). The visualizations of the distribution of distances using PDE, the scatterdensity plot using PDE for two variables, the Shepard density plot as well as the BlandAltman plot are presented here. With regards to classified highdimensional data several visualizations are presented, e.g. the heat map and silhouette plot. For a classification of countries, a map of the world or Germany can be visualized. More detailed explanations can be found in the book of Thrun, M.C.:"ProjectionBased Clustering through SelfOrganization and Swarm Intelligence" (2018) <DOI:10.1007/9783658205409>. 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. The flagship of this package is the mirrored density plot (MDplot) which is a PDEoptimized violin plot for either classified or nonclassified, univariate or multivariate data. The MDplot is an alternative for the boxandwhisker diagram (box plot) and bean plot.
Package details 


Author  Michael Thrun [aut, cre, cph], Felix Pape [aut, rev], Onno HansenGoos [ctr, ctb], Alfred Ultsch [dtc, ctb] 
Maintainer  Michael Thrun <[email protected]> 
License  GPL3 
Version  1.1.4 
URL  http://www.deepbionics.org 
Package repository  View on CRAN 
Installation 
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