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36 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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0. scatterplot3d - scatterplot3d plots 3D point clouds
A more sophisticated description:
scatterplot3d is an R package for the visualization of multivariate data in a three dimensional space.
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Registered: 2007-06-11 09:58 |
1. Sequence analysis for social scientists - TraMineR is intended for mining and visualizing sequences of states or events. Its primary aim is the analysis of longitudinal data in the social science field but many of its features may also apply to non temporal data such as text or DNA sequences.
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Registered: 2010-04-13 10:26 |
2. Lattice - R implementation of Trellis Graphics.
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Registered: 2009-12-21 05:40 |
3. HTML Imagemap Creator - Create clickable HTML hyperlink imagemaps from R graphics.
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Registered: 2008-10-12 08:58 |
4. Direct labels for plots - Simple, uniform framework for adding direct labels to lattice or ggplot2 plots.
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Registered: 2009-07-17 12:58 |
5. WZD - blog package - This package goes along with the blog wagezudenken.blogspot.com, which will feature datasets from various topics, data visualizations including cartography, statistical methods and tools. The first R function implemented is a Sweave driver for bloggers.
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Registered: 2009-12-02 22:44 |
6. Grid-based symbols - Grid-based matplots, boxplots, barplots, stars and symbols for visualization in arbitrary context like maps or cluster solutions.
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Registered: 2010-01-11 10:17 |
7. fisheyeR - Fisheye and Hyperbolic-space-alike Interactive Visualization Tools in R.
fisheyeR provides tools for creating Interactive Data Visualizations.
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Registered: 2010-01-10 16:39 |
8. radarBoxplot - A package to create the radar-boxplot, a plot that was created by the during his doctoring in forest resources. Radar-boxplot is a visualization feature suited for classification/clustering. It provides an intuitive understanding of the data.
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Registered: 2019-06-18 15:31 |
9. SVGMapping - SVGMapping aims at displaying experimental data on custom-made SVG images. Data are used to alter attributes of graphical shapes: colors, opacity. Tooltips and redirection URLs can be added when viewed within a compatible browser.
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Registered: 2011-05-26 08:52 |
10. Complex Data Visualization - The compDataViz package visualizes datasets with a mix of numeric and categorical data with the ability to stratify these matrices according to a categorical variable. Results of univariate and bivariate statistical tests can also be displayed.
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Registered: 2010-08-11 10:02 |
11. Tools for Uplift Modeling - The R Package tools4uplift integrates some tools for exploring and modeling uplift. The content can be separated into the following steps of statistical modeling: quantization, visualization, model selection and model validation.
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Registered: 2018-08-31 21:23 |
12. SCiAN - Analyzing spectrophotometry data with R. Estimation of bacterial growth rate.
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Registered: 2009-11-09 18:48 |
13. coefplot2 - Generate coefficient plots and tables from a broad range of statistical models: extends arm::coefplot
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Registered: 2011-04-08 14:41 |
14. ggcluster - plot cluster data w/ ggplot2 - Tools for creating cluster plots, tree plots and dendrograms using ggplot.
ggcluster provides a convenient, generic extractor function that can handle dendrogram, tree, kmeans, hclust and Mclust objects.
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Registered: 2011-07-13 08:40 |
15. The Soil Texture Wizard - The project has now moved to GitHub: https://github.com/julienmoeys/soiltexture
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Registered: 2010-04-08 12:28 |
16. Generalized ridge trace plots - The genridge package introduces generalizations of the standard univariate ridge trace plot used in ridge regression and related methods. These graphical methods show both bias and precision.
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Registered: 2011-08-23 16:20 |
17. geoextras - Functions and data sets that complement the 'geo' package (also available on r-forge), much used at the Marine Research Institute, Reykjavík (Hafro), Iceland.
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Registered: 2010-11-04 23:11 |
18. labeling - axis labeling algorithms - Provides a number of axis labeling algorithms.
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Registered: 2010-08-24 18:10 |
19. rm.plot - rm.plot (for raw-means-plot) is a function for visualizing results of experimental designs with up to two factors. It plots both raw data (background) and factor means (foreground) to provide a more accurate visualization of the underlying distribution.
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Registered: 2011-12-01 19:52 |
36 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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