Package in the R environment for analysis of variance and complementary analyses
Keywords:Software, Statistics, Data analysis
AbstractThe objective was to create a package in the R environment, called “easyanova” to provide functions for performing analysis of variance of qualitative treatments with several test options for mean contrasts and residual analysis. The package comprises the functions “ea1()”,”ea2()” and “ec ()” and 19 data sets. The “ea1()” performs analyses in 13 designs and also the tests of Kruskal-Wallis and Friedman. The “ea2()” function performs analyses in experimental schemes with interaction (13 schemes). The “ec()” function tests mean group contrasts. The data and examples available in the package are associated mainly with animal research. Some of the possible analyzable designs are widely used in animal experimentation, such as Latin squares and split plot in time. In addition, the functions of the package are easy to use and make the necessary adjustments in cases of unbalanced experiments.
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How to Cite
Arnhold, E. (2013). Package in the R environment for analysis of variance and complementary analyses. Brazilian Journal of Veterinary Research and Animal Science, 50(6), 488-492. https://doi.org/10.11606/issn.1678-4456.v50i6p488-492
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