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:Lluís Revilla Sancho [aut, cre], Juanjo Lozano [ths], Azucena Salas Martinez [ths]

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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'))

Peer review:

Bug tracker:https://github.com/llrs/experdesign/issues

On CRAN:

batchexperiment-design

29 exports 9 stars 1.82 score 0 dependencies 1 scripts 260 downloads

Last updated 4 months agofrom:118ad3143a. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 19 2024
R-4.5-winOKAug 19 2024
R-4.5-linuxOKAug 19 2024
R-4.4-winOKAug 19 2024
R-4.4-macOKAug 19 2024
R-4.3-winOKAug 19 2024
R-4.3-macOKAug 19 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:

exprDesign

Rendered fromexperdesign.Rmdusingknitr::rmarkdownon Aug 19 2024.

Last update: 2023-03-22
Started: 2018-07-27