Package: gosset 1.3-2

Kauê de Sousa

gosset: Tools for Data Analysis in Experimental Agriculture

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.

Authors:Kauê de Sousa [aut, cre], Jacob van Etten [aut], David Brown [aut], Jonathan Steinke [aut], Joost van Heerwaarden [aut]

gosset_1.3-2.tar.gz
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gosset_1.3-2.tgz(r-4.4-any)gosset_1.3-2.tgz(r-4.3-any)
gosset_1.3-2.tar.gz(r-4.5-noble)gosset_1.3-2.tar.gz(r-4.4-noble)
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gosset.pdf |gosset.html
gosset/json (API)
NEWS

# Install 'gosset' in R:
install.packages('gosset', repos = c('https://agrdatasci.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/agrdatasci/gosset/issues

Datasets:
  • breadwheat - Preferred bread wheat varieties
  • kenyachoice - Kenyan farmers’ preferences for agricultural and livelihood practices
  • nicabean - Common bean on-farm trial in Nicaragua

On CRAN:

experimental-designrankings-data

23 exports 4 stars 1.54 score 101 dependencies 30 scripts 371 downloads

Last updated 5 days agofrom:49a9092f36. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 13 2024
R-4.5-winOKSep 13 2024
R-4.5-linuxOKSep 13 2024
R-4.4-winOKSep 13 2024
R-4.4-macOKSep 13 2024
R-4.3-winOKSep 13 2024
R-4.3-macOKSep 13 2024

Exports:akaike_weightsbtpermutecomparecrossvalidationkendallTaukendallWlikelihood_rationode_labelsnode_rulespairwise_probspseudo_rankpseudoR2rank_numericrank_tricotregretreliabilityresamplerowbindset_binomialfreqset_paircomptop_itemsworth_barworth_map

Dependencies:askpassbackportsbitbit64bootBradleyTerry2brglmcellrangercheckmateclarabelclassclicolorspacecpp11crayoncurlCVXRdata.tableDescToolsdplyre1071ECOSolveRExactexpmfansifarverFormulagenericsggpartyggplot2ggrepelgldgluegmpgtablegtoolshmshttrigraphinumisobandjsonlitelabelinglatticelibcoinlifecyclelme4lmommagrittrMASSMatrixmatrixStatsmgcvmimeminqamunsellmvtnormnlmenloptropensslosqppartykitpatchworkpillarpkgconfigPlackettLuceprettyunitsprofileModelprogressproxypsychotoolspsychotreepurrrqvcalcR6RColorBrewerRcppRcppEigenreadxlrematchrlangRmpfrrootSolverpartRSpectrarstudioapisandwichscalesscsstringistringrsurvivalsystibbletidyrtidyselectutf8vctrsviridisLitewithrzoo

Trait prioritization and crop performance with decentralized on-farm trial data

Rendered fromvignette-1-trait-prioritization-and-crop-performance.Rmdusingknitr::rmarkdown_notangleon Sep 13 2024.

Last update: 2024-04-25
Started: 2024-04-25

Readme and manuals

Help Manual

Help pageTopics
Akaike weightsakaike_weights
Likelihood-ratio testanova.PlackettLuce likelihood_ratio
Preferred bread wheat varietiesbreadwheat
Variable selection with Permuted Inclusion Criterionbtpermute
Compare agreement between two methodscompare compare.default compare.PlackettLuce
Cross-validationAIC.bttree AIC.gnm crossvalidation deviance.bttree deviance.gnm deviance.pltree
Tools for Data Analysis in Experimental Agriculturegosset-package gosset
Kendall rank correlation coefficientkendallTau kendallTau.default kendallTau.grouped_rankings kendallTau.matrix kendallTau.paircomp kendallTau.rankings
Kendall's W (coefficient of concordance)kendallW kendallW.default kendallW.pltree
Kenyan farmers’ preferences for agricultural and livelihood practiceskenyachoice
Common bean on-farm trial in Nicaraguanicabean
Get node labels and rules used in a party treenode_labels node_rules plot.pltree top_items
Compute pairwise probabilitiespairwise_probs
Add pseudo-rank to missing valuespseudo_rank
Pseudo R-squaredpseudoR2 pseudoR2.bttree pseudoR2.default pseudoR2.pltree
Plackett-Luce rankings from numeric valuesrank_numeric
Build Plackett-Luce rankings from tricot datasetrank_tricot
Regret-based values for risk assessmentregret regret.default regret.list regret.pltree
Probability of outperforming a checkreliability reliability.default reliability.PlackettLuce reliability.pltree
Re-sample model estimatesresample
Combine R objects by rowsrowbind rowbind.default rowbind.list
Binomial frequency rankings from pairwise contestsset_binomialfreq
Pairwise comparison rankingsset_paircomp
Plot worth parametersworth_bar worth_map worth_map.default worth_map.list