Getting started

metan (multi-environment trials analysis) provides useful functions for analyzing multi-environment trial data using parametric and nonparametric methods. The package will help you to:

• Inspect data for possible common errors;
• Manipulate rows and columns;
• Manipulate numbers and strings;
• Compute descriptive statistics;
• Compute within-environment analysis of variance;
• Compute AMMI analysis with prediction considering different numbers of interaction principal component axes;
• Compute AMMI-based stability indexes;
• Compute GGE biplot analysis;
• Compute BLUP-based stability indexes;
• Compute variance components and genetic parameters in mixed-effect models;
• Perform cross-validation procedures for AMMI-family and BLUP models;
• Compute parametric and nonparametric stability statistics
• Implement biometrical models

For more details see the complete vignette.

Installation

Install the released version of metan from CRAN with:

install.packages("metan")

Or install the development version from GitHub with:

devtools::install_github("TiagoOlivoto/metan")

# To build the HTML vignette use
devtools::install_github("TiagoOlivoto/metan", build_vignettes = TRUE)

Note: If you are a Windows user, you should also first download and install the latest version of Rtools.

For the latest release notes on this development version, see the NEWS file.

Citation

citation("metan")

## 
## Please, support this project by citing it in your publications!
## 
##   Olivoto, T., and Lúcio, A.D. (2020). metan: an R package for
##   multi-environment trial analysis. Methods Ecol Evol. 11:783-789
##   doi:10.1111/2041-210X.13384
## 
## A BibTeX entry for LaTeX users is
## 
##   @Article{Olivoto2020,
##     author = {Tiago Olivoto and Alessandro Dal'Col L{'{u}}cio},
##     title = {metan: an R package for multi-environment trial analysis},
##     journal = {Methods in Ecology and Evolution},
##     volume = {11},
##     number = {6},
##     pages = {783-789},
##     year = {2020},
##     doi = {10.1111/2041-210X.13384},
##   }