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Trellis Graphics for R
A powerful and elegant high-level data visualization system inspired by Trellis graphics, with an emphasis on multivariate data. Lattice is sufficient for typical graphics needs, and is also flexible enough to handle most nonstandard requirements. See ?Lattice for an introduction.
Visualizations of High-Dimensional Data
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,
'ggplot' Visualizations for the 'partykit' Package
Extends 'ggplot2' functionality to the 'partykit' package. 'ggparty' provides the necessary tools to create clearly structured and highly customizable visualizations for tree-objects of the class 'party'.
Tour Methods for Multivariate Data Visualisation
Implements geodesic interpolation and basis generation functions that allow you to create new tour methods from R.
Visualizes a Matrix as Heatmap
Visualizes a matrix object plainly as heatmap. It provides S3 functions to plot simple matrices and loading matrices.
Interactive Visualizations for Profiling R Code
Interactive visualizations for profiling R code.
Data Visualization for Statistics in Social Science
Collection of plotting and table output functions for data visualization. Results of various statistical analyses (that are commonly used in social sciences) can be visualized using this package, including simple and cross tabulated frequencies, histograms, box plots, (generalized) linear models, mixed effects models, principal component analysis and correlation matrices, cluster analyses, scatter plots, stacked scales, effects plots of regression models (including interaction terms) and much more. This package supports labelled data.
Visualizing and Analyzing Animal Track Data
Contains functions to access movement data stored in 'movebank.org' as well as tools to visualize and statistically analyze animal movement data, among others functions to calculate dynamic Brownian Bridge Movement Models. Move helps addressing movement ecology questions.
Dendrogram Seriation: Ordering for Visualisation
Re-arranges a dendrogram to optimize visualisation-based cost functions.
A More Scalable Alternative to Venn and Euler Diagrams for Visualizing Intersecting Sets
Creates visualizations of intersecting sets using a novel matrix
design, along with visualizations of several common set, element and attribute
related tasks (Conway 2017)