Showing 15 of total 15 results (show query)
const-ae
ggupset:Combination Matrix Axis for 'ggplot2' to Create 'UpSet' Plots
Replace the standard x-axis in 'ggplots' with a combination matrix to visualize complex set overlaps. 'UpSet' has introduced a new way to visualize the overlap of sets as an alternative to Venn diagrams. This package provides a simple way to produce such plots using 'ggplot2'. In addition it can convert any categorical axis into a combination matrix axis.
Maintained by Constantin Ahlmann-Eltze. Last updated 2 months ago.
360 stars 10.25 score 524 scripts 6 dependents
krassowski
ComplexUpset:Create Complex UpSet Plots Using 'ggplot2' Components
UpSet plots are an improvement over Venn Diagram for set overlap visualizations. Striving to bring the best of the 'UpSetR' and 'ggplot2', this package offers a way to create complex overlap visualisations, using simple and familiar tools, i.e. geoms of 'ggplot2'. For introduction to UpSet concept, see Lex et al. (2014) <doi:10.1109/TVCG.2014.2346248>.
Maintained by Michał Krassowski. Last updated 1 years ago.
ggplotggplot2patchworkpythonrstatupsetupsetrvennvenn-diagramvisualization
491 stars 9.54 score 554 scripts 4 dependents
davidhodge931
ggblanket:Simplify 'ggplot2' Visualisation
Simplify 'ggplot2' visualisation with 'ggblanket' wrapper functions.
Maintained by David Hodge. Last updated 10 days ago.
data-visualisationdata-visualizationggplotggplot-extensionggplot2ggplot2-enhancementsvisualisationvisualization
173 stars 8.42 score 45 scripts
dgkf
ggpackets:Package Plot Layers for Easier Portability and Modularization
Create groups of 'ggplot2' layers that can be easily migrated from one plot to another, reducing redundant code and improving the ability to format many plots that draw from the same source 'ggpacket' layers.
Maintained by Doug Kelkhoff. Last updated 26 days ago.
69 stars 7.34 score 12 scripts 1 dependents
great-northern-diver
loon.ggplot:A Grammar of Interactive Graphics
Provides a bridge between the 'loon' and 'ggplot2' packages. Extends the grammar of ggplot to add clauses to create interactive 'loon' plots. Existing ggplot(s) can be turned into interactive 'loon' plots and 'loon' plots into static ggplot(s); the function 'loon.ggplot()' is the bridge from one plot structure to the other.
Maintained by Zehao Xu. Last updated 11 months ago.
data-analysisggplotggplot-featuresgraphicsinteractive-plotsloonvisualizations
24 stars 7.11 score 9 scripts 3 dependents
yunuuuu
ggalign:A 'ggplot2' Extension for Consistent Axis Alignment
A 'ggplot2' extension offers various tools the creation of complex, multi-plot visualizations. Built on the familiar grammar of graphics, it provides intuitive tools to align and organize plots, making it ideal for complex visualizations. It excels in multi-omics research—such as genomics and microbiomes—by simplifying the visualization of intricate relationships between datasets, for example, linking genes to pathways. Whether you need to stack plots, arrange them around a central figure, or create a circular layout, 'ggalign' delivers flexibility and accuracy with minimal effort.
Maintained by Yun Peng. Last updated 12 days ago.
complex-heatmapsdendrogramdendrogram-heatmapggplotggplot-extensionggplot2heatmapheatmap-visualizationheatmapsmarginal-plotsoncoplotoncoprinttanglegramupsetupsetplot
267 stars 7.08 score 27 scripts
cgoo4
ggfoundry:Shape Foundry & Geom for 'ggplot2'
A 'ggplot2' extension that supports arbitrary hand-crafted colourable & fillable shapes. New shapes may be feature requested via a Github issue.
Maintained by Carl Goodwin. Last updated 9 months ago.
ggplotggplot-extensionggplot2ggplot2-geomshapesvisualisationvisualization
17 stars 6.64 score 64 scripts
thinkr-open
shinipsum:Lorem-Ipsum-like Helpers for fast Shiny Prototyping
Prototype your shiny apps quickly with these Lorem-Ipsum-like Helpers.
Maintained by Colin Fay. Last updated 1 years ago.
dygraphggplotgolemversehacktoberfestlorem-ipsum
125 stars 6.45 score 50 scripts 1 dependents
trangdata
treeheatr:Heatmap-Integrated Decision Tree Visualizations
Creates interpretable decision tree visualizations with the data represented as a heatmap at the tree's leaf nodes. 'treeheatr' utilizes the customizable 'ggparty' package for drawing decision trees.
Maintained by Trang Le. Last updated 2 years ago.
datavizdecision-treesggplotheatmapvisualization
57 stars 5.71 score 18 scripts
hughjonesd
ggmagnify:Create a Magnified Inset of Part of a "Ggplot" Object
Creates a magnified inset of a ggplot, with projection lines and borders around the target area and inset, plus optional shadow. Rectangular, elliptical or arbitrary regions can be magnified. Works with facets and maps. Geoms can optionally be recomputed within the inset area.
Maintained by David Hugh-Jones. Last updated 9 months ago.
286 stars 5.62 score 97 scripts
nicolash2
ggbrace:Curly Braces for 'ggplot2'
Provides curly braces in 'ggplot2' plus matching text. stat_brace() plots braces partially in the confines of data so that the brace is set apart from it. stat_bracetext() plots corresponding text, fitting to the braces from stat_brace().
Maintained by Nicolas Huber. Last updated 1 years ago.
bracebracesbracketggplotggplot2graphgraphsplot
13 stars 5.08 score 93 scripts
rkbauer
oceanmap:A Plotting Toolbox for 2D Oceanographic Data
Plotting toolbox for 2D oceanographic data (satellite data, sea surface temperature, chlorophyll, ocean fronts & bathymetry). Recognized classes and formats include netcdf, Raster, '.nc' and '.gz' files.
Maintained by Robert K. Bauer. Last updated 1 years ago.
bathymetrychlaggplotmapping-toolsncdfoceanographic-dataremote-sensingsatellite-imspatial-datasst
4 stars 4.54 score 58 scripts 1 dependents
sumidu
gghilbertstrings:A Fast 'ggplot2'-Based Implementation of Hilbert Curves
A set of functions that help to create plots based on Hilbert curves. Hilbert curves are used to map one dimensional data into the 2D plane. The package provides a function that generate a 2D coordinate from an integer position. As a specific use case the package provides a function that allows mapping a character column in a data frame into 2D space using 'ggplot2'. This allows visually comparing long lists of URLs, words, genes or other data that has a fixed order and position.
Maintained by André Calero Valdez. Last updated 4 years ago.
genetic-analysisggplothilbert-curvesurlcpp
16 stars 4.20 score 20 scripts
pwwang
gglogger:Track 'ggplot2' Calls
Provides a way to log 'ggplot' component calls, which can be useful for debugging and understanding how 'ggplot' objects are created. The logged calls can be printed, saved, and re-executed to reproduce the original 'ggplot' object.
Maintained by Panwen Wang. Last updated 5 months ago.
ggplotggplot2ggplot2-enhancements
3 stars 3.95 score 4 scripts
viadee
localICE:Local Individual Conditional Expectation
Local Individual Conditional Expectation ('localICE') is a local explanation approach from the field of eXplainable Artificial Intelligence (XAI). localICE is a model-agnostic XAI approach which provides three-dimensional local explanations for particular data instances. The approach is proposed in the master thesis of Martin Walter as an extension to ICE (see Reference). The three dimensions are the two features at the horizontal and vertical axes as well as the target represented by different colors. The approach is applicable for classification and regression problems to explain interactions of two features towards the target. For classification models, the number of classes can be more than two and each class is added as a different color to the plot. The given instance is added to the plot as two dotted lines according to the feature values. The localICE-package can explain features of type factor and numeric of any machine learning model. Automatically supported machine learning packages are 'mlr', 'randomForest', 'caret' or all other with an S3 predict function. For further model types from other libraries, a predict function has to be provided as an argument in order to get access to the model. Reference to the ICE approach: Alex Goldstein, Adam Kapelner, Justin Bleich, Emil Pitkin (2013) <arXiv:1309.6392>.
Maintained by Martin Walter. Last updated 5 years ago.
aiexplainable-aiggplotmachine-learningvisualization
7 stars 3.54 score 3 scripts