Other packages > Find by keyword >

DataVisualizations  

Visualizations of High-Dimensional Data
View on CRAN: Click here


Download and install DataVisualizations package within the R console
Install from CRAN:
install.packages("DataVisualizations")

Install from Github:
library("remotes")
install_github("cran/DataVisualizations")

Install by package version:
library("remotes")
install_version("DataVisualizations", "1.3.3")



Attach the package and use:
library("DataVisualizations")
Maintained by
Michael Thrun
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-01-30
Latest Update: 2023-10-10
Description:
Gives access to data visualisation methods that are relevant from the data scientist's point of view. The flagship idea of 'DataVisualizations' is the mirrored density plot (MD-plot) for either classified or non-classified multivariate data published in Thrun, M.C. et al.: "Analyzing the Fine Structure of Distributions" (2020), PLoS ONE, . The MD-plot outperforms the box-and-whisker diagram (box plot), violin plot and bean plot and geom_violin plot of ggplot2. Furthermore, a collection of various visualization methods for univariate data 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 a combination of four methods. One of these methods is the Pareto density estimation (PDE) of the probability density function (pdf). Additionally, visualizations of the distribution of distances using PDE, the scatter-density plot using PDE for two variables as well as the Shepard density plot and the Bland-Altman plot are presented here. Pertaining to classified high-dimensional data, a number of visualizations are described, such as f.ex. the heat map and silhouette plot. A political map of the world or Germany can be visualized with the additional information defined by a classification of countries or regions. By extending the political map further, an uncomplicated function for a Choropleth map can be used which is useful for measurements across a geographic area. For categorical features, the Pie charts, slope charts and fan plots, improved by the ABC analysis, become usable. More detailed explanations are found in the book by Thrun, M.C.: "Projection-Based Clustering through Self-Organization and Swarm Intelligence" (2018) .
How to cite:
Michael Thrun (2018). DataVisualizations: Visualizations of High-Dimensional Data. R package version 1.3.3, https://cran.r-project.org/web/packages/DataVisualizations. Accessed 18 Feb. 2025.
Previous versions and publish date:
0.9.2 (2018-01-30 14:15), 1.0.0 (2018-05-06 17:34), 1.1.1 (2018-06-30 18:09), 1.1.4 (2018-10-22 07:40), 1.1.5 (2019-02-02 14:13), 1.1.6 (2019-03-08 13:43), 1.1.8 (2019-08-20 13:40), 1.1.9 (2019-11-10 16:40), 1.1.10 (2020-02-02 18:10), 1.1.11 (2020-02-13 18:50), 1.1.12 (2020-05-17 09:40), 1.2.0 (2020-08-04 18:34), 1.2.1 (2020-10-28 10:10), 1.2.2 (2021-01-12 18:10), 1.2.3 (2022-05-21 12:50), 1.3.0 (2023-06-06 23:20), 1.3.1 (2023-07-18 21:40), 1.3.2 (2023-10-10 10:10)
Other packages that cited DataVisualizations R package
View DataVisualizations citation profile
Other R packages that DataVisualizations depends, imports, suggests or enhances
Complete documentation for DataVisualizations
Functions, R codes and Examples using the DataVisualizations R package
Some associated functions: ABCbarplot . AccountingInformation_PrimeStandard_Q3_2019 . BimodalityAmplitude . ChoroplethPostalCodesAndAGS_Germany . Choroplethmap . ClassBoxPlot . ClassMDplot . ClassPDEplot . ClassPDEplotMaxLikeli . Classplot . CombineCols . Crosstable . DataVisualizations-package . DefaultColorSequence . DensityScatter . DualaxisClassplot . DualaxisLinechart . Fanplot . FundamentalData_Q1_2018 . GoogleMapsCoordinates . Heatmap . HeatmapColors . ITS . InspectBoxplots . InspectCorrelation . InspectDistances . InspectScatterplots . InspectStandardization . InspectVariable . JitterUniqueValues . Lsun3D . MAplot . MDplot . MDplot4multiplevectors . MTY . OptimalNoBins . PDEplot . PDEscatter . ParetoDensityEstimation . ParetoRadius . Piechart . Pixelmatrix . Plot3D . PlotMissingvalues . PlotProductratio . PmatrixColormap . QQplot . ShepardDensityScatter . Sheparddiagram . SignedLog . Silhouetteplot . Slopechart . SmoothedDensitiesXY . StatPDEdensity . Worldmap . categoricalVariable . inPSphere2D . stat_pde_density . world_country_polygons . zplot . 
Some associated R codes: ABCbarplot.R . BimodalityAmplitude.R . Choroplethmap.R . ClassBoxPlot.R . ClassMDplot.R . ClassPDEplot.R . ClassPDEplotMaxLikeli.R . Classplot.R . CombineCols.R . Crosstable.R . DensityScatter.R . DrawWorldWithCls.R . DualaxisClassplot.R . DualaxisLinechart.R . Fanplot.R . GoogleMapsCoordinates.R . Heatmap.R . InspectBoxplots.R . InspectCorrelation.R . InspectDistances.R . InspectScatterplots.R . InspectStandardization.R . InspectVariable.R . JitterUniqueValues.R . MAplot.R . MDplot.R . MDplot4multiplevectors.R . OptimalNoBins.R . PDEplot.R . PDEscatter.R . ParetoDensityEstimation.R . ParetoRadius.R . Piechart.R . Pixelmatrix.R . Plot3D.R . PlotMissingvalues.R . PlotProductratio.R . QQplot.R . RcppExports.R . ShepardDensityScatter.R . Sheparddiagram.R . SignedLog.R . Silhouetteplot.R . Slopechart.R . SmoothedDensitiesXY.R . Worldmap.R . bimodal.R . checkCls.R . checkFeature.R . inPSphere2D.R . internpiechart.R . smooth1D.R . stat_pde_density.R . zplot.R .  Full DataVisualizations package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

ppmf  
Read Census Privacy Protected Microdata Files
Implements data processing described in to align modern differentially ...
Download / Learn more Package Citations See dependency  
readxlsb  
Read 'Excel' Binary (.xlsb) Workbooks
Import data from 'Excel' binary (.xlsb) workbooks into R. ...
Download / Learn more Package Citations See dependency  
MOSS  
Multi-Omic Integration via Sparse Singular Value Decomposition
High dimensionality, noise and heterogeneity among samples and features challenge the omic integrat ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
clustMixType  
k-Prototypes Clustering for Mixed Variable-Type Data
Functions to perform k-prototypes partitioning clustering for mixed variable-type data according to ...
Download / Learn more Package Citations See dependency  
OptGS  
Near-Optimal Group-Sequential Designs for Continuous Outcomes
Optimal group-sequential designs minimise some function of the expected and maximum sample size whil ...
Download / Learn more Package Citations See dependency  

23,712

R Packages

205,795

Dependencies

64,332

Author Associations

23,631

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA