Tools for Data Analysis in Experimental Agriculture
Plot worth parameters
Kendall rank correlation coefficient
Kendall's W (coefficient of concordance)
Likelihood-ratio test
Build Plackett-Luce rankings from tricot dataset
Regret-based values for risk assessment
Akaike weights
Variable selection with Permuted Inclusion Criterion
Compare agreement between two methods
Cross-validation
Tools for Data Analysis in Experimental Agriculture
Get node labels and rules used in a party tree
Compute pairwise probabilities
Add pseudo-rank to missing values
Pseudo R-squared
Plackett-Luce rankings from numeric values
Probability of outperforming a check
Re-sample model estimates
Combine R objects by rows
Binomial frequency rankings from pairwise contests
Pairwise comparison rankings
Methods 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.