Package: experDesign 0.4.0.9000
experDesign: Design Experiments for Batches
Distributes samples in batches while making batches homogeneous according to their description. Allows for an arbitrary number of variables, both numeric and categorical. For quality control it provides functions to subset a representative sample.
Authors:
experDesign_0.4.0.9000.tar.gz
experDesign_0.4.0.9000.zip(r-4.5)experDesign_0.4.0.9000.zip(r-4.4)experDesign_0.4.0.9000.zip(r-4.3)
experDesign_0.4.0.9000.tgz(r-4.4-any)experDesign_0.4.0.9000.tgz(r-4.3-any)
experDesign_0.4.0.9000.tar.gz(r-4.5-noble)experDesign_0.4.0.9000.tar.gz(r-4.4-noble)
experDesign_0.4.0.9000.tgz(r-4.4-emscripten)experDesign_0.4.0.9000.tgz(r-4.3-emscripten)
experDesign.pdf |experDesign.html✨
experDesign/json (API)
NEWS
# Install 'experDesign' in R: |
install.packages('experDesign', repos = c('https://llrs.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/llrs/experdesign/issues
Last updated 6 months agofrom:118ad3143a. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 17 2024 |
R-4.5-win | OK | Nov 17 2024 |
R-4.5-linux | OK | Nov 17 2024 |
R-4.4-win | OK | Nov 17 2024 |
R-4.4-mac | OK | Nov 17 2024 |
R-4.3-win | OK | Nov 17 2024 |
R-4.3-mac | OK | Nov 17 2024 |
Exports:batch_namescheck_datacheck_indexcompare_indexcreate_subsetdesigndistributionentropyevaluate_entropyevaluate_independenceevaluate_indexevaluate_madevaluate_meanevaluate_naevaluate_origevaluate_sdextreme_casesfollow_upfollow_up2inspectoptimum_batchesoptimum_subsetposition_nameqcSubsetreplicatessizes_batchesspatialuse_indexvalid_followup
Dependencies: