Package: agriutilities 1.2.0.9000

Johan Aparicio

agriutilities: Utilities for Data Analysis in Agriculture

Utilities designed to make the analysis of field trials easier and more accessible for everyone working in plant breeding. It provides a simple and intuitive interface for conducting single and multi-environmental trial analysis, with minimal coding required. Whether you're a beginner or an experienced user, 'agriutilities' will help you quickly and easily carry out complex analyses with confidence. With built-in functions for fitting Linear Mixed Models, 'agriutilities' is the ideal choice for anyone who wants to save time and focus on interpreting their results. Some of the functions require the R package 'asreml' for the 'ASReml' software, this can be obtained upon purchase from 'VSN' international (<https://vsni.co.uk/software/asreml-r>).

Authors:Johan Aparicio [aut, cre], Alexia Bornhorst [aut], The Alliance of Bioversity International and CIAT [cph]

agriutilities_1.2.0.9000.tar.gz
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agriutilities_1.2.0.9000.tgz(r-4.4-any)agriutilities_1.2.0.9000.tgz(r-4.3-any)
agriutilities_1.2.0.9000.tar.gz(r-4.5-noble)agriutilities_1.2.0.9000.tar.gz(r-4.4-noble)
agriutilities_1.2.0.9000.tgz(r-4.4-emscripten)agriutilities_1.2.0.9000.tgz(r-4.3-emscripten)
agriutilities.pdf |agriutilities.html
agriutilities/json (API)

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

Peer review:

Bug tracker:https://github.com/apariciojohan/agriutilities/issues

On CRAN:

lmmmet-analysisplant-breeding

17 exports 17 stars 2.24 score 89 dependencies 87 scripts 480 downloads

Last updated 2 months agofrom:59feb146a0. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 09 2024
R-4.5-winNOTESep 09 2024
R-4.5-linuxNOTESep 09 2024
R-4.4-winNOTESep 09 2024
R-4.4-macNOTESep 09 2024
R-4.3-winNOTESep 09 2024
R-4.3-macNOTESep 09 2024

Exports:%>%check_connectivitycheck_design_metcovcor_heatextract_rcovextract_vcovfa_summarygg_corh_cullish_cullis_sptheritability_faic_reml_asric_reml_sptmet_analysisparameters_ggsingle_trial_analysisstability

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecorrplotcowplotcpp11data.tableDerivdoBydotCall64dplyremmeansestimabilityevaluatefansifarverfieldsgenericsggplot2ggpubrggrepelggsciggsignifglueGPArotationgridExtragtablehighrisobandknitrlabelinglatticelifecyclelme4lmerTestmagrittrmapprojmapsMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamnormtmodelrmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolynompsychpurrrqtlquantregR6RColorBrewerRcppRcppEigenrlangrstatixscalesspamSparseMSpATSstatgenSTAstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithrxfunxtableyaml

How to Start

Rendered fromhow-to-start.Rmdusingknitr::rmarkdownon Sep 09 2024.

Last update: 2024-01-21
Started: 2023-02-09

Repeated Measurements

Rendered fromrepeated_measurements.Rmdusingknitr::rmarkdownon Sep 09 2024.

Last update: 2024-04-30
Started: 2024-01-19