designit
Blocking and Randomization for Experimental Design
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,
- Version0.5.0
- R version≥ 4.1.0
- LicenseMIT
- Licensefile LICENSE
- Needs compilation?No
- Last release03/21/2024
Documentation
- VignetteBasic example
- VignetteUsing custom shuffle schedule
- VignetteIn-vivo study design
- Vignettedesignit: a flexible engine to generate experiment layouts
- VignetteNested dimension example
- VignetteOptimizer examples
- VignetteOSAT and scoring functions
- VignettePlate layouts
- VignetteShuffling with constraints
- MaterialREADME
- MaterialNEWS
Team
Iakov I. Davydov
Juliane Siebourg-Polster
Guido Steiner
Show author detailsRolesAuthor, Copyright holderKonrad Rudolph
Jitao David Zhang
Balazs Banfai
F. Hoffman-La Roche
Show author detailsRolesCopyright holder, fnd
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- Depends1 package
- Imports12 packages
- Suggests16 packages