Package in the R environment for analysis of variance and complementary analyses
DOI:
https://doi.org/10.11606/issn.1678-4456.v50i6p488-492Keywords:
Software, Statistics, Data analysisAbstract
The 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.Downloads
Download data is not yet available.
Downloads
Published
2013-12-09
Issue
Section
SHORT COMMUNICATION
License
The journal content is authorized under the Creative Commons BY-NC-SA license (summary of the license: https://
How to Cite
1.
Arnhold E. Package in the R environment for analysis of variance and complementary analyses. Braz. J. Vet. Res. Anim. Sci. [Internet]. 2013 Dec. 9 [cited 2024 Nov. 22];50(6):488-92. Available from: https://revistas.usp.br/bjvras/article/view/55986