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authorRicardo Wurmus <rekado@elephly.net>2018-10-25 05:17:16 +0200
committerRicardo Wurmus <rekado@elephly.net>2018-10-25 05:17:42 +0200
commit7b63047c943a68717b1fc21dc078e44c2415e694 (patch)
tree9d8dc4a77121cbd63f0d008e02ea2595d81c314b
parent489a6178e68a3a740ecf5c076d05b352bc448fae (diff)
downloadpatches-7b63047c943a68717b1fc21dc078e44c2415e694.tar
patches-7b63047c943a68717b1fc21dc078e44c2415e694.tar.gz
gnu: Add r-sjplot.
* gnu/packages/cran.scm (r-sjplot): New variable.
-rw-r--r--gnu/packages/cran.scm47
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)))