ggtext - Improved Text Rendering Support for 'ggplot2'
A 'ggplot2' extension that enables the rendering of complex formatted plot labels (titles, subtitles, facet labels, axis labels, etc.). Text boxes with automatic word wrap are also supported.
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16.81 score 665 stars 249 dependents 21k scripts 112k downloads
correlation - Methods for Correlation Analysis
Lightweight package for computing different kinds of correlations, such as partial correlations, Bayesian correlations, multilevel correlations, polychoric correlations, biweight correlations, distance correlations and more. Part of the 'easystats' ecosystem. References: Makowski et al. (2020) <doi:10.21105/joss.02306>.
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bayesianbayesian-correlationsbiserialcorcorrelationcorrelation-analysiscorrelationseasystatsgammagaussian-graphical-modelshacktoberfestmatrixmultilevel-correlationsoutlierspartialpartial-correlationsregressionrobustspearman
14.40 score 455 stars 14 dependents 958 scripts 28k downloadsgridtext - Improved Text Rendering Support for 'Grid' Graphics
Provides support for rendering of formatted text using 'grid' graphics. Text can be formatted via a minimal subset of 'Markdown', 'HTML', and inline 'CSS' directives, and it can be rendered both with and without word wrap.
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cpp
12.05 score 99 stars 272 dependents 539 scripts 86k downloadshandlr - Convert Among Citation Formats
Converts among many citation formats, including 'BibTeX', 'Citeproc', 'Codemeta', 'RDF XML', 'RIS', 'Schema.org', and 'Citation File Format'. A low level 'R6' class is provided, as well as stand-alone functions for each citation format for both read and write.
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doimetadatacitationbibtexcrossrefcrosscitecodemetarisciteprocrdfxmljsoncitationsdigital-object-identifier
5.24 score 37 stars 31 scripts 314 downloadspipebind - Flexible Binding for Complex Function Evaluation with the Base R |> Pipe
Provides a simple function to bind a piped object to a placeholder symbol to enable complex function evaluation with the base R |> pipe.
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4.61 score 48 stars 17 scripts 188 downloadsconfigural - Multivariate Profile Analysis
R functions for criterion profile analysis, Davison and Davenport (2002) <doi:10.1037/1082-989X.7.4.468> and meta-analytic criterion profile analysis, Wiernik, Wilmot, Davison, and Ones (2020) <doi:10.1037/met0000305>. Sensitivity analyses to aid in interpreting criterion profile analysis results are also included.
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3.40 score 5 stars 337 downloads