gosset: Tools for Data Analysis in Experimental Agriculture

Overview

The gosset package provides methods to implement workflows to analyse experimental agriculture data, from data synthesis to model selection and visualisation. The package is named after W.S. Gosset aka ‘Student’, a pioneer of modern statistics in small sample experimental design and analysis.

Installation

The stable version is available through CRAN.

install.packages("gosset")

The development version can be installed via

library("remotes")
remotes::install_github("agrdatasci/gosset")

Examples

The functionality of gosset is illustrated in the package’s vignettes

• Case study 1: common bean on-farm testing

• Case study 2: consumer evaluation cassava

Meta

• Please report any issues or bugs.
• License: MIT
• Get citation information for gosset in R by typing citation(package = "gosset").
• You are welcome to contribute to the gosset project. Please read our contribution guide lines.
• Please note that the gosset project is released with a Contributor Code of Conduct. By participating in the gosset project you agree to abide by its terms.