designit-package: designit: Blocking and Randomization for Experimental Design
| designit-package | R Documentation |
designit: Blocking and Randomization for Experimental Design
Description
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, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1186/1471-2164-13-689")}).
Author(s)
Maintainer: Iakov I. Davydov iakov.davydov@roche.com (ORCID) [copyright holder]
Authors:
Juliane Siebourg-Polster juliane.siebourg-polster@roche.com (ORCID) [copyright holder]
Guido Steiner guido.steiner@roche.com [copyright holder]
Jitao David Zhang jitao_david.zhang@roche.com (ORCID) [copyright holder]
Balazs Banfai balazs.banfai@roche.com (ORCID) [copyright holder]
Other contributors:
Konrad Rudolph konrad.rudolph@roche.com (ORCID) [contributor]
F. Hoffman-La Roche [copyright holder, funder]
See Also
Useful links:
