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designit  

Blocking and Randomization for Experimental Design
View on CRAN: Click here


Download and install designit package within the R console
Install from CRAN:
install.packages("designit")

Install from Github:
library("remotes")
install_github("cran/designit")

Install by package version:
library("remotes")
install_version("designit", "0.5.0")



Attach the package and use:
library("designit")
Maintained by
Iakov I. Davydov
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-03-21
Latest Update: 2024-03-21
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, ).
How to cite:
Iakov I. Davydov (2024). designit: Blocking and Randomization for Experimental Design. R package version 0.5.0, https://cran.r-project.org/web/packages/designit. Accessed 07 Nov. 2024.
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