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'))

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

Pkgdown site:https://experdesign.llrs.dev

On CRAN:

Conda:

batchexperiment-design

5.48 score 10 stars 1 scripts 229 downloads 29 exports 0 dependencies

Last updated 3 months agofrom:de2ec9ea1a. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 23 2025
R-4.5-winOKMar 23 2025
R-4.5-macOKMar 23 2025
R-4.5-linuxOKMar 23 2025
R-4.4-winOKMar 23 2025
R-4.4-macOKMar 23 2025
R-4.4-linuxOKMar 23 2025
R-4.3-winOKMar 23 2025
R-4.3-macOKMar 23 2025

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 Mar 23 2025.

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