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gosset (version 1.4)

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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Version

Install

install.packages('gosset')

Monthly Downloads

315

Version

1.4

License

MIT + file LICENSE

Maintainer

Kauê de Sousa

Last Published

December 5th, 2024

Functions in gosset (1.4)

pseudo_rank

Add pseudo-rank to missing values
worth_map

Plot worth parameters
set_binomialfreq

Binomial frequency rankings from pairwise contests
set_paircomp

Pairwise comparison rankings
rowbind

Combine R objects by rows
resample

Re-sample model estimates
kendallW

Kendall's W (coefficient of concordance)
crossvalidation

Cross-validation
gosset

Tools for Data Analysis in Experimental Agriculture
kendallTau

Kendall rank correlation coefficient
akaike_weights

Akaike weights
btpermute

Variable selection with Permuted Inclusion Criterion
regret

Regret-based values for risk assessment
pairwise_probs

Compute pairwise probabilities
reliability

Probability of outperforming a check
compare

Compare agreement between two methods
breadwheat

Preferred bread wheat varieties
plot.pltree

Get node labels and rules used in a party tree
anova.PlackettLuce

Likelihood-ratio test
rank_numeric

Plackett-Luce rankings from numeric values
kenyachoice

Kenyan farmers’ preferences for agricultural and livelihood practices
cassava

Gari-Eba Consumer Acceptability in Cameroon and Nigeria
nicabean

Common bean on-farm trial in Nicaragua
pseudoR2

Pseudo R-squared
rank_tricot

Build Plackett-Luce rankings from tricot dataset