ExpDes: An R Package for ANOVA and Experimental Designs

TLDR

Analysis of variance (ANOVA) is a common method for analysing experiments, but depending on design and analysis scheme it can be a hard task. ExpDes is a package that intends to turn such a task easier. Devoted to fixed models and balanced experiments (no missing data), ExpDes allows users to handle additional treatments in a single run, supports several experiment designs, and produces standard, easy‑to‑interpret outputs; it was developed at the Exact Sciences Institute of the Federal University of Alfenas, Brazil. Stable versions of ExpDes have been available on CRAN since 2012, and user feedback shows it is used for teaching and data analysis in Brazil and other countries, distinguishing itself from other R tools by its ease of use and clean output.

Abstract

Analysis of variance (ANOVA) is a usual way for analysing experiments. However, depending on the design and/or the analysis scheme, it can be a hard task. ExpDes, acronym for Experimental Designs, is a package that intends to turn such task easier. Devoted to fixed models and balanced experiments (no missing data), ExpDes allows user to deal with additional treatments in a single run, several experiment designs and exhibits standard and easy-to-interpret outputs. It was developed at the Exact Sciences Institute of the Federal University of Alfenas, Brazil. Stable versions of package ExpDes are available on CRAN (Comprehensive R Archive Network) since 2012. Based on users’ feedback, the package was used to illustrate graduation and post-graduation classes and to carry out data analysis, in Brazil and many other countries. Package ExpDes differs from the other R tools in its easiness in use and cleanliness of output.