R: Tools for Data Analysis in Experimental Agriculture

# Tools for Data Analysis in Experimental Agriculture

## Documentation for package ‘gosset’ version 1.5.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

gosset-package | Tools for Data Analysis in Experimental Agriculture
AIC.bttree | Cross-validation
AIC.gnm | Cross-validation
akaike_weights | Akaike weights
anova.PlackettLuce | Likelihood-ratio test
breadwheat | Preferred bread wheat varieties
btpermute | Variable selection with Permuted Inclusion Criterion
cassava | Gari-Eba Consumer Acceptability in Cameroon and Nigeria
compare | Compare agreement between two methods
compare.default | Compare agreement between two methods
compare.PlackettLuce | Compare agreement between two methods
crossvalidation | Cross-validation
deviance.bttree | Cross-validation
deviance.gnm | Cross-validation
deviance.pltree | Cross-validation
gosset | Tools for Data Analysis in Experimental Agriculture
kendallTau | Kendall rank correlation coefficient
kendallTau.default | Kendall rank correlation coefficient
kendallTau.grouped_rankings | Kendall rank correlation coefficient
kendallTau.matrix | Kendall rank correlation coefficient
kendallTau.paircomp | Kendall rank correlation coefficient
kendallTau.rankings | Kendall rank correlation coefficient
kendallTau_bootstrap | Kendall rank correlation coefficient
kendallTau_permute | Kendall rank correlation coefficient
kendallW | Kendall's W (coefficient of concordance)
kendallW.default | Kendall's W (coefficient of concordance)
kendallW.pltree | Kendall's W (coefficient of concordance)
kenyachoice | Kenyan farmers’ preferences for agricultural and livelihood practices
likelihood_ratio | Likelihood-ratio test
nicabean | Common bean on-farm trial in Nicaragua
node_labels | Get node labels and rules used in a party tree
node_rules | Get node labels and rules used in a party tree
pairwise_probs | Compute pairwise probabilities
plot.PlackettLuce | Get node labels and rules used in a party tree
plot.pltree | Get node labels and rules used in a party tree
preference_index | Preference index from rankings
pseudoR2 | Pseudo R-squared
pseudoR2.bttree | Pseudo R-squared
pseudoR2.default | Pseudo R-squared
pseudoR2.pltree | Pseudo R-squared
pseudo_rank | Add pseudo-rank to missing values
rank_numeric | Plackett-Luce rankings from numeric values
rank_tricot | Build Plackett-Luce rankings from tricot dataset
rank_tricot2 | Build Plackett-Luce rankings from tricot ranking dataset
regret | Regret-based values for risk assessment
regret.default | Regret-based values for risk assessment
regret.list | Regret-based values for risk assessment
regret.pltree | Regret-based values for risk assessment
reliability | Probability of outperforming a check
reliability.default | Probability of outperforming a check
reliability.PlackettLuce | Probability of outperforming a check
reliability.pltree | Probability of outperforming a check
resample | Re-sample model estimates
rowbind | Combine R objects by rows
rowbind.default | Combine R objects by rows
rowbind.list | Combine R objects by rows
set_binomialfreq | Binomial frequency rankings from pairwise contests
set_paircomp | Pairwise comparison rankings
top_items | Get node labels and rules used in a party tree
worth_bar | Plot worth parameters
worth_map | Plot worth parameters
worth_map.default | Plot worth parameters
worth_map.list | Plot worth parameters