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
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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:

batchexperiment-design

5.54 score 10 stars 1 scripts 261 downloads 29 exports 0 dependencies

Last updated 2 months agofrom:de2ec9ea1a. Checks:7 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 22 2025
R-4.5-winOKJan 22 2025
R-4.5-linuxOKJan 22 2025
R-4.4-winOKJan 22 2025
R-4.4-macOKJan 22 2025
R-4.3-winOKJan 22 2025
R-4.3-macOKJan 22 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

Lluís Revilla Sancho

Rendered fromexperdesign.Rmdusingknitr::rmarkdownon Jan 22 2025.

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