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]

experDesign_0.4.0.9000.tar.gz
experDesign_0.4.0.9000.zip(r-4.7)experDesign_0.4.0.9000.zip(r-4.6)experDesign_0.4.0.9000.zip(r-4.5)
experDesign_0.4.0.9000.tgz(r-4.6-any)experDesign_0.4.0.9000.tgz(r-4.5-any)
experDesign_0.4.0.9000.tar.gz(r-4.7-any)experDesign_0.4.0.9000.tar.gz(r-4.6-any)
experDesign_0.4.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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/docs site:https://experdesign.llrs.dev

On CRAN:

Conda:

batchexperiment-design

4.70 score 10 stars 1 scripts 238 downloads 29 exports 0 dependencies

Last updated from:2640afcff8. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK139
source / vignettesOK204
linux-release-x86_64OK133
macos-release-arm64OK159
macos-oldrel-arm64OK173
windows-develOK105
windows-releaseOK105
windows-oldrelOK111
wasm-releaseOK84

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

Lluís Revilla Sancho

Rendered fromexperdesign.Rmdusingknitr::rmarkdownon May 05 2026.

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