Create data summaries for quality control, extensive reports for exploring data, as well aspublication-ready univariate or bivariate tablesin several formats (plain text, HTML,LaTeX, PDF, Word or Excel. Create figuresto 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, Hctor Sanz, Gavin Lucas, Judith Peafiel and David Gimnez|
|Date of publication||2017-03-14 14:45:02|
|Maintainer||Isaac Subirana <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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