Package: DOEpro 2.0.1
DOEpro: Analysis of Designed Agricultural Experiments
A 'shiny' application and supporting functions for the analysis of designed agricultural experiments, following the procedures set out by Gomez and Gomez (1984, ISBN:9780471870920). Handles completely randomised, randomised complete block, Latin square, factorial (up to four factors), split-plot and strip-plot designs, and pooled (combined) analysis over environments including factorial treatments, after Yates and Cochran (1938) <doi:10.1017/S0021859600050978>; analyses several response variables simultaneously; recommends and applies variance-stabilising transformations using the profile likelihood of Box and Cox (1964) <doi:10.1111/j.2517-6161.1964.tb00553.x>; reports standard errors and critical differences for every legitimate comparison, including the four distinct comparisons of a split plot, the mixed ones using the approximation of Satterthwaite (1946) <doi:10.2307/3002019>; and produces publication-format tables of means, diagnostic plots and a written interpretation.
Authors:
DOEpro_2.0.1.tar.gz
DOEpro_2.0.1.zip(r-4.7-any)DOEpro_2.0.1.zip(r-4.6-any)DOEpro_2.0.1.zip(r-4.5-any)
DOEpro_2.0.1.tgz(r-4.6-any)DOEpro_2.0.1.tgz(r-4.5-any)
DOEpro_2.0.1.tar.gz(r-4.7-any)DOEpro_2.0.1.tar.gz(r-4.6-any)
DOEpro_2.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
DOEpro/json (API)
| # Install 'DOEpro' in R: |
| install.packages('DOEpro', repos = c('https://uzairkhan11w.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/uzairkhan11w/doepro/issues
Last updated from:c2d4e3e35d. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 338 | ||
| source / vignettes | OK | 248 | ||
| linux-release | OK | 347 | ||
| macos-release | OK | 291 | ||
| macos-oldrel | OK | 241 | ||
| windows-devel | OK | 359 | ||
| windows-release | OK | 367 | ||
| windows-oldrel | OK | 266 | ||
| wasm-release | OK | 109 |
Exports:analyzebuild_reportcheck_datacluster_datacorrelate_datademo_datadescribe_dataDESIGNSfa_datafix_datapca_dataregress_datarun_allrun_DOEproTRANS
Dependencies:base64encbslibcachemclicommonmarkcpp11crosstalkdigestDTevaluatefarverfastmapfontawesomefsggplot2gluegtablehighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlazyevallifecyclemagrittrmemoisemimeotelpromisesR6rappdirsRColorBrewerRcpprlangrmarkdownS7sassscalesshinysourcetoolstinytexvctrsviridisLitewithrxfunxtableyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Analyse one response from a designed experiment | analyze |
| Render an analysis as an HTML report | build_report |
| Check data for common entry problems | check_data |
| Hierarchical cluster analysis | cluster_data print.doepro_cluster |
| Correlation between pairs of numeric variables | correlate_data |
| Example datasets for each design | demo_data |
| Descriptive statistics for numeric variables | describe_data |
| The designs DOEpro supports | DESIGNS |
| Factor analysis of numeric variables | fa_data print.doepro_fa |
| Apply the safe corrections found by check_data | fix_data |
| Principal component analysis of numeric variables | pca_data print.doepro_pca |
| Linear regression of one numeric variable on one or more others | print.doepro_regression regress_data |
| Analyse several responses from a designed experiment | run_all |
| Run the DOEpro application | run_DOEpro |
| The transformations DOEpro offers | TRANS |