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| author | Ricardo Wurmus <rekado@elephly.net> | 2018-10-25 05:17:16 +0200 |
|---|---|---|
| committer | Ricardo Wurmus <rekado@elephly.net> | 2018-10-25 05:17:42 +0200 |
| commit | 7b63047c943a68717b1fc21dc078e44c2415e694 (patch) | |
| tree | 9d8dc4a77121cbd63f0d008e02ea2595d81c314b /gnu | |
| parent | 489a6178e68a3a740ecf5c076d05b352bc448fae (diff) | |
| download | patches-7b63047c943a68717b1fc21dc078e44c2415e694.tar patches-7b63047c943a68717b1fc21dc078e44c2415e694.tar.gz | |
gnu: Add r-sjplot.
* gnu/packages/cran.scm (r-sjplot): New variable.
Diffstat (limited to 'gnu')
| -rw-r--r-- | gnu/packages/cran.scm | 47 |
1 files changed, 47 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index a28b8195d1..1dcb0cceef 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -6600,3 +6600,50 @@ are also supported. The two main functions are @code{ggpredict()} and @code{ggeffect()}. There is a generic @code{plot()} method to plot the results using @code{ggplot2}.") (license license:gpl3))) + +(define-public r-sjplot + (package + (name "r-sjplot") + (version "2.6.1") + (source + (origin + (method url-fetch) + (uri (cran-uri "sjPlot" version)) + (sha256 + (base32 + "13qvw2s3r96qfi8kfsn76m050ccnmckl31a9qv94xws8da99v2fk")))) + (properties `((upstream-name . "sjPlot"))) + (build-system r-build-system) + (propagated-inputs + `(("r-broom" ,r-broom) + ("r-dplyr" ,r-dplyr) + ("r-forcats" ,r-forcats) + ("r-ggeffects" ,r-ggeffects) + ("r-ggplot2" ,r-ggplot2) + ("r-glmmtmb" ,r-glmmtmb) + ("r-knitr" ,r-knitr) + ("r-lme4" ,r-lme4) + ("r-magrittr" ,r-magrittr) + ("r-mass" ,r-mass) + ("r-modelr" ,r-modelr) + ("r-nlme" ,r-nlme) + ("r-psych" ,r-psych) + ("r-purrr" ,r-purrr) + ("r-rlang" ,r-rlang) + ("r-scales" ,r-scales) + ("r-sjlabelled" ,r-sjlabelled) + ("r-sjmisc" ,r-sjmisc) + ("r-sjstats" ,r-sjstats) + ("r-tidyr" ,r-tidyr))) + (home-page "https://strengejacke.github.io/sjPlot/") + (synopsis "Data visualization for statistics in social science") + (description + "This package represents a 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.") + (license license:gpl3))) |