Tools for Data Analysis in Experimental Agriculture


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Documentation for package ‘gosset’ version 0.3

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gosset-package Tools for Data Analysis in Experimental Agriculture
AIC.bttree Cross-validation
AIC.gnm Cross-validation
akaike_weights Akaike weights
breadwheat Preferred bread wheat varieties
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.data.frame 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
kenyachoice Kenyan farmers’ preferences for agricultural and livelihood practices
node_labels Get node labels and rules used in a party tree
node_rules Get node labels and rules used in a party tree
plot.pltree Get node labels and rules used in a party tree
pseudoR2 Pseudo R-squared
pseudoR2.bttree Pseudo R-squared
pseudoR2.default Pseudo R-squared
pseudoR2.pltree Pseudo R-squared
rank_binomial Binary rankings from pairwise contests
rank_numeric Plackett-Luce rankings from numeric values
rank_paircomp Pairwise comparison rankings
rank_tricot Build Plackett-Luce rankings from tricot dataset
reliability Reliability based on worth parameters
reliability.default Reliability based on worth parameters
reliability.PlackettLuce Reliability based on worth parameters
reliability.pltree Reliability based on worth parameters
rowbind Combine R objects by rows
rowbind.default Combine R objects by rows
rowbind.list Combine R objects by rows
top_items Get node labels and rules used in a party tree
worst_regret Worst regret in regret-based models from recursive partitioning trees
worth_bar Plot worth parameters
worth_map Plot worth parameters
worth_map.default Plot worth parameters
worth_map.list Plot worth parameters