Package: biometryassist 1.5.0

Sam Rogers

biometryassist: Functions to Assist Design and Analysis of Agronomic Experiments

Provides functions to aid in the design and analysis of agronomic and agricultural experiments through easy access to documentation and helper functions, especially for users who are learning these concepts. While not required for most functionality, this package enhances the `asreml` package which provides a computationally efficient algorithm for fitting mixed models using Residual Maximum Likelihood. It is a commercial package that can be purchased as 'ASReml-R' from 'VSNi' <https://vsni.co.uk/>, who will supply a zip file for local installation/updating (see <https://asreml.kb.vsni.co.uk/>).

Authors:Sharon Nielsen [aut], Sam Rogers [aut, cre], Annie Conway [aut], Michael Mumford [ctb], University of Adelaide [cph, fnd], Grains Research and Development Corporation [cph, fnd]

biometryassist_1.5.0.tar.gz
biometryassist_1.5.0.zip(r-4.7-any)biometryassist_1.5.0.zip(r-4.6-any)biometryassist_1.5.0.zip(r-4.5-any)
biometryassist_1.5.0.tgz(r-4.6-any)biometryassist_1.5.0.tgz(r-4.5-any)
biometryassist_1.5.0.tar.gz(r-4.7-any)biometryassist_1.5.0.tar.gz(r-4.6-any)
biometryassist_1.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
biometryassist/json (API)

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

Bug tracker:https://github.com/biometryhub/biometryassist/issues

Pkgdown/docs site:https://biometryhub.github.io

On CRAN:

Conda:

biometryexperimental-designteachingquarto

7.58 score 12 stars 32 scripts 366 downloads 18 exports 33 dependencies

Last updated from:4749871cac. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK243
source / vignettesOK225
linux-releaseOK300
macos-releaseOK262
macos-oldrelOK287
windows-develOK475
windows-releaseOK335
windows-oldrelOK338
wasm-releaseOK151

Exports:add_buffersautoplotdes_infodesignexport_design_to_excelheat_mapinstall_asremllist_templateslogl_testmultiple_comparisonspairwise_comparisonsreference_comparisonsresplotrespltsummary_graphupdate_asremluse_templatevariogram

Dependencies:agricolaeAlgDesigncliclustercpp11curlemmeansestimabilityfarverggplot2gluegtableisobandjsonlitelabelinglatticelifecycleMASSmultcompViewmvtnormnlmenumDerivpatchworkpracmaR6RColorBrewerrlangS7scalesstringivctrsviridisLitewithr

Installing ASReml-R
Note: Licencing ASReml-R | Licence key for Adelaide University Staff and Students | Package method | Function Only Method | Installing The ASReml-R Package | Activating ASReml-R | Additional Installation Options | Where To Get Help
Rendered frominstalling-asreml-r.qmdusingquarto::html

Last update: 2026-07-16
Started: 2026-06-17

Adding Orientation Arrows and Annotations to Field Layout Plots
Introduction | Setup | Adding an Orientation Arrow | Using ggspatial for North Arrows | Customizing Arrow Appearance | Adding Field Feature Annotations | Using annotate() for Text Labels | Understanding the Coordinate System | Adding Multiple Features | Combining Orientation Arrows and Annotations | Tips and Best Practices | Determining Appropriate Coordinates | Adjusting Margins | Text Rotation Guidelines | Justification Parameters | Working with Different Design Types | Troubleshooting | Problem: Annotation is cut off | Problem: Plot is stretched or distorted | Problem: North arrow is not visible | Problem: Text orientation is wrong | Conclusion | Further Reading
Rendered fromplot_annotation.qmdusingquarto::html

Last update: 2026-06-17
Started: 2026-06-17

Choosing and interpreting multiple comparisons
Introduction | The three functions in action | multiple_comparisons(): all pairs, means and letters | pairwise_comparisons(): a chosen set of differences | General contrasts | reference_comparisons(): each level against a control | The same model, several views | Controlling error across comparisons | Why Tukey is reserved for the complete (all-pairs) set | The shared adjust and by arguments | adjust: choosing the multiplicity method | by: comparisons within subgroups | A note on confidence intervals | Choosing the right function: a summary | References
Rendered fromchoosing-multiple-comparisons.qmdusingquarto::html

Last update: 2026-06-17
Started: 2026-06-17