gnu: Add r-sjplot.
* gnu/packages/cran.scm (r-sjplot): New variable.
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@ -6600,3 +6600,50 @@ are also supported. The two main functions are @code{ggpredict()} and
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@code{ggeffect()}. There is a generic @code{plot()} method to plot the
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@code{ggeffect()}. There is a generic @code{plot()} method to plot the
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results using @code{ggplot2}.")
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results using @code{ggplot2}.")
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(license license:gpl3)))
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(license license:gpl3)))
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(define-public r-sjplot
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(package
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(name "r-sjplot")
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(version "2.6.1")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "sjPlot" version))
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(sha256
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(base32
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"13qvw2s3r96qfi8kfsn76m050ccnmckl31a9qv94xws8da99v2fk"))))
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(properties `((upstream-name . "sjPlot")))
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(build-system r-build-system)
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(propagated-inputs
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`(("r-broom" ,r-broom)
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("r-dplyr" ,r-dplyr)
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("r-forcats" ,r-forcats)
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("r-ggeffects" ,r-ggeffects)
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("r-ggplot2" ,r-ggplot2)
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("r-glmmtmb" ,r-glmmtmb)
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("r-knitr" ,r-knitr)
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("r-lme4" ,r-lme4)
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("r-magrittr" ,r-magrittr)
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("r-mass" ,r-mass)
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("r-modelr" ,r-modelr)
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("r-nlme" ,r-nlme)
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("r-psych" ,r-psych)
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("r-purrr" ,r-purrr)
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("r-rlang" ,r-rlang)
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("r-scales" ,r-scales)
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("r-sjlabelled" ,r-sjlabelled)
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("r-sjmisc" ,r-sjmisc)
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("r-sjstats" ,r-sjstats)
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("r-tidyr" ,r-tidyr)))
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(home-page "https://strengejacke.github.io/sjPlot/")
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(synopsis "Data visualization for statistics in social science")
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(description
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"This package represents a collection of plotting and table output
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functions for data visualization. Results of various statistical
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analyses (that are commonly used in social sciences) can be visualized using
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this package, including simple and cross tabulated frequencies, histograms,
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box plots, (generalized) linear models, mixed effects models, principal
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component analysis and correlation matrices, cluster analyses, scatter plots,
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stacked scales, effects plots of regression models (including interaction
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terms) and much more. This package supports labelled data.")
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(license license:gpl3)))
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