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.
|Author||Isaac Subirana, Joan Vila, Hector Sanz, Gavin Lucas, Judith Penafiel and David Gimenez|
|Date of publication||2018-05-18 12:38:32 UTC|
|Maintainer||Isaac Subirana <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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