Create data summaries for quality control, extensive reports for exploring data, as well as publication-ready univariate or bivariate tables in several formats (plain text, HTML,LaTeX, PDF, Word or Excel. Create figures to quickly visualise the distribution of your data (boxplots, barplots, normality-plots, etc.). Display statistics (mean, median, frequencies, incidences, etc.). Perform the appropriate tests (t-test, Analysis of variance, Kruskal-Wallis, Fisher, log-rank, ...) depending on the nature of the described variable (normal, non-normal or qualitative). Summarize genetic data (Single Nucleotide Polymorphisms) data displaying Allele Frequencies and performing Hardy-Weinberg Equilibrium tests among other typical statistics and tests for these kind of data.
Version: 4.9.1 Depends: R (≥ 3.5.0) Imports: survival, tools, HardyWeinberg, rmarkdown, knitr, kableExtra, methods, chron, stats, writexl, flextable, officer, PMCMRplus Suggests: tcltk2, shiny, shinyBS, shinyjs, shinyjqui, shinythemes, shinyWidgets, shinydashboardPlus, DT, readxl, haven Published: 2024-10-30 DOI: 10.32614/CRAN.package.compareGroups Author: Isaac Subirana [aut, cre], Joan Salvador [ctb] Maintainer: Isaac Subirana <isubirana at imim.es> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://isubirana.github.io/compareGroups/index.html NeedsCompilation: no Citation: compareGroups citation info Materials: NEWS CRAN checks: compareGroups results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=compareGroups to link to this page.
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