Blocking and Randomization for Experimental Design R package designit version 0.5.0 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>). Software 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 Iakov I. Davydov <iakov.davydov@roche.com> Comprehensive R Archive Network (CRAN) Iakov I. Davydov [aut, cre, cph] (ORCID: <https://orcid.org/0000-0003-3510-3926>), Juliane Siebourg-Polster [aut, cph] (ORCID: <https://orcid.org/0000-0002-1759-3223>), Guido Steiner [aut, cph], Konrad Rudolph [ctb] (ORCID: <https://orcid.org/0000-0002-9866-7051>), Jitao David Zhang [aut, cph] (ORCID: <https://orcid.org/0000-0002-3085-0909>), Balazs Banfai [aut, cph] (ORCID: <https://orcid.org/0000-0003-0422-7977>), F. Hoffman-La Roche [cph, fnd] MIT + file LICENSE (https://CRAN.R-project.org/package=designit/LICENSE) 2024-03-21 application/tgz https://CRAN.R-project.org/package=designit doi:10.32614/CRAN.package.designit