Intelligently assign samples to batches in order to reduce batch effects. Batch effects can have a significant impact on data analysis, especially when the assignment of samples to batches coincides with the contrast groups being studied. By defining a batch container and a scoring function that reflects the contrasts, this package allows users to assign samples in a way that minimizes the potential impact of batch effects on the comparison of interest. Among other functionality, we provide an implementation for OSAT score by Yan et al. (2012, <doi:10.1186/1471-2164-13-689>).
Version: 0.5.0 Depends: R (≥ 4.1.0) Imports: rlang (≥ 0.4.0), dplyr (≥ 1.0.0), purrr, ggplot2, scales, tibble, tidyr, assertthat, stringr, R6, data.table, stats Suggests: testthat, roxygen2, pkgdown, knitr, markdown, rmarkdown, gt, bench, OSAT, tidyverse, printr, devtools (≥ 2.0.0), ggpattern, cowplot, bestNormalize, here Published: 2024-03-21 DOI: 10.32614/CRAN.package.designit Author: Iakov I. Davydov [aut, cre, cph], Juliane Siebourg-Polster [aut, cph], Guido Steiner [aut, cph], Konrad Rudolph [ctb], Jitao David Zhang [aut, cph], Balazs Banfai [aut, cph], F. Hoffman-La Roche [cph, fnd] Maintainer: Iakov I. Davydov <iakov.davydov at roche.com> BugReports: https://github.com/BEDApub/designit/issues License: MIT + file LICENSE URL: https://bedapub.github.io/designit/, https://github.com/BEDApub/designit/ NeedsCompilation: no Materials: README NEWS CRAN checks: designit results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=designit to link to this page.
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