Source: r-cran-ggpubr Standards-Version: 4.7.4 Maintainer: Debian R Packages Maintainers Uploaders: Andreas Tille , Section: gnu-r Testsuite: autopkgtest-pkg-r Build-Depends: debhelper-compat (= 14), dh-r, r-base-dev, r-cran-ggplot2 (>= 3.5.2), r-cran-ggrepel, r-cran-ggsci, r-cran-tidyr (>= 1.3.2), r-cran-purrr, r-cran-dplyr (>= 1.2.0), r-cran-cowplot (>= 1.2.0), r-cran-ggsignif, r-cran-scales, r-cran-gridextra, r-cran-glue, r-cran-polynom, r-cran-rlang (>= 1.1.7), r-cran-rstatix (>= 1.0.0), r-cran-tibble, r-cran-magrittr, r-pkg-team-core-architecture, Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-cran-ggpubr Vcs-Git: https://salsa.debian.org/r-pkg-team/r-cran-ggpubr.git Homepage: https://cran.r-project.org/package=ggpubr Package: r-cran-ggpubr Architecture: all Depends: ${R:Depends}, ${misc:Depends}, r-pkg-team-core-architecture, Recommends: ${R:Recommends}, Suggests: ${R:Suggests}, Description: 'ggplot2' Based Publication Ready Plots The 'ggplot2' package is excellent and flexible for elegant data visualization in R. However the default generated plots require some formatting before we can send them for publication. Furthermore, to customize a 'ggplot', the syntax is opaque and this raises the level of difficulty for researchers with no advanced R programming skills. 'ggpubr' provides some easy-to-use functions for creating and customizing 'ggplot2'-based publication ready plots. This version includes modern R ecosystem compatibility updates and customizable p-value formatting presets (APA, AMA, NEJM, Lancet, GraphPad, and scientific notation) for publication workflows, plus robust sparse-subset handling in statistical annotation layers such as 'stat_compare_means()' and 'geom_pwc()', with informative per-group skip diagnostics for non-comparable subsets.