gnu: Add r-ggstatsplot.
* gnu/packages/cran.scm (r-ggstatsplot): New variable.
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					@ -799,6 +799,49 @@ text annotations.")
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     "Ggfittext is a ggplot2 extension for fitting text into boxes.")
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					     "Ggfittext is a ggplot2 extension for fitting text into boxes.")
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    (license license:gpl2)))
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					    (license license:gpl2)))
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					(define-public r-ggstatsplot
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					  (package
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					    (name "r-ggstatsplot")
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					    (version "0.12.0")
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					    (source (origin
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					              (method url-fetch)
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					              (uri (cran-uri "ggstatsplot" version))
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					              (sha256
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					               (base32
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					                "17jxvzr4dlvsakrsvblxngg60jxh0c1a0i8phqqg63nbf79ng2lk"))))
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					    (properties `((upstream-name . "ggstatsplot")))
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					    (build-system r-build-system)
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					    (propagated-inputs (list r-correlation
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					                             r-datawizard
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					                             r-dplyr
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					                             r-ggcorrplot
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					                             r-ggplot2
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					                             r-ggrepel
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					                             r-ggside
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					                             r-ggsignif
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					                             r-glue
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					                             r-insight
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					                             r-paletteer
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					                             r-parameters
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					                             r-patchwork
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					                             r-performance
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					                             r-purrr
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					                             r-rlang
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					                             r-statsexpressions
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					                             r-tidyr))
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					    (native-inputs (list r-knitr))
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					    (home-page "https://indrajeetpatil.github.io/ggstatsplot/")
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					    (synopsis "Based plots with statistical details")
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					    (description
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					     "This package generates graphics with embedded details from statistical tests.
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					Statistical tests included in the plots themselves.  It provides an easier
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					syntax to generate information-rich plots for statistical analysis of
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					continuous or categorical data.  Currently, it supports the most common
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					types of statistical approaches and tests: parametric, nonparametric,
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					robust, and Bayesian versions of t-test/ANOVA, correlation analyses,
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					contingency table analysis, meta-analysis, and regression analyses.")
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					    (license license:gpl3)))
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(define-public r-glmpca
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					(define-public r-glmpca
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  (package
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					  (package
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    (name "r-glmpca")
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					    (name "r-glmpca")
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