Software

biometryassist: an R package to aid the design and analysis of agronomic experiments

Adelaide University
Rogers, Samuel ; Nielsen, Sharon ; Conway, Annie
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25909/34721859.v1&rft.title=biometryassist: an R package to aid the design and analysis of agronomic experiments&rft.identifier=10.25909/34721859.v1&rft.publisher=Adelaide University&rft.description=biometryassist is an R package that provides functions to aid in the design and analysis of agronomic-style experiments, with a particular focus on supporting teaching and applied use of these concepts. It provides helper functions for generating randomised experimental designs and field layouts for common designs (e.g. completely randomised, randomised complete block, Latin square, split-plot and factorial designs), producing model diagnostics such as residual plots, and carrying out and visualising multiple comparisons of treatment means from models fitted in base R or a number of other modelling packages including ASReml-R. Functions are designed to give consistent, publication-ready output and to lower the barrier to sound statistical practice for agricultural researchers.The package is developed by the Biometry Hub at the University of Adelaide as part of the Analytics for the Australian Grains Industry (AAGI) initiative.This item is an archived snapshot of the GitHub repository (https://github.com/biometryhub/biometryassist), accompanying a paper submitted to the Journal of Open Source Software. The package is also available on CRAN: https://CRAN.R-project.org/package=biometryassist&rft.creator=Rogers, Samuel &rft.creator=Nielsen, Sharon &rft.creator=Conway, Annie &rft.edition=1&rft_rights= https://opensource.org/licenses/MIT&rft_subject=Applied statistics&rft_subject=R&rft_subject=R package&rft_subject=experimental design&rft_subject=field trials&rft_subject=agronomy&rft_subject=agricultural statistics&rft_subject=randomisation&rft_subject=linear mixed models&rft_subject=multiple comparisons&rft_subject=statistical software packages&rft_subject=biometry&rft_subject=crop science&rft_subject=reproducible research&rft_subject=ASReml-R&rft.type=Computer Program&rft.language=English Access the software
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biometryassist is an R package that provides functions to aid in the design and analysis of agronomic-style experiments, with a particular focus on supporting teaching and applied use of these concepts. It provides helper functions for generating randomised experimental designs and field layouts for common designs (e.g. completely randomised, randomised complete block, Latin square, split-plot and factorial designs), producing model diagnostics such as residual plots, and carrying out and visualising multiple comparisons of treatment means from models fitted in base R or a number of other modelling packages including ASReml-R. Functions are designed to give consistent, publication-ready output and to lower the barrier to sound statistical practice for agricultural researchers.

The package is developed by the Biometry Hub at the University of Adelaide as part of the Analytics for the Australian Grains Industry (AAGI) initiative.

This item is an archived snapshot of the GitHub repository (https://github.com/biometryhub/biometryassist), accompanying a paper submitted to the Journal of Open Source Software. The package is also available on CRAN: https://CRAN.R-project.org/package=biometryassist

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Subjects
ASReml-R | Applied statistics | R | R package | agricultural statistics | agronomy | biometry | crop science | experimental design | field trials | linear mixed models | multiple comparisons | randomisation | reproducible research | statistical software packages |

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ACN 633 798 857