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gosset (version 1.5.1)

Tools for Data Analysis in Experimental Agriculture

Description

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.

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Install

install.packages('gosset')

Monthly Downloads

606

Version

1.5.1

License

MIT + file LICENSE

Maintainer

Kauê de Sousa

Last Published

November 19th, 2025

Functions in gosset (1.5.1)

pseudoR2

Pseudo R-squared
plot.pltree

Get node labels and rules used in a party tree
btpermute

Variable selection with Permuted Inclusion Criterion
pairwise_probs

Compute pairwise probabilities
cassava

Gari-Eba Consumer Acceptability in Cameroon and Nigeria
rank_numeric

Plackett-Luce rankings from numeric values
regret

Regret-based values for risk assessment
rowbind

Combine R objects by rows
rank_tricot

Build Plackett-Luce rankings from tricot dataset
resample

Re-sample model estimates
rank_tricot2

Build Plackett-Luce rankings from tricot ranking dataset
worth_map

Plot worth parameters
set_binomialfreq

Binomial frequency rankings from pairwise contests
set_paircomp

Pairwise comparison rankings
reliability

Probability of outperforming a check
kendallTau

Kendall rank correlation coefficient
gosset

Tools for Data Analysis in Experimental Agriculture
breadwheat

Preferred bread wheat varieties
kendallW

Kendall's W (coefficient of concordance)
crossvalidation

Cross-validation
compare

Compare agreement between two methods
akaike_weights

Akaike weights
kenyachoice

Kenyan farmers’ preferences for agricultural and livelihood practices
anova.PlackettLuce

Likelihood-ratio test
preference_index

Preference index from rankings
nicabean

Common bean on-farm trial in Nicaragua
pseudo_rank

Add pseudo-rank to missing values