From 1ef54f326b8461fbfb44222e9b1807dcefde90a5 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Llu=C3=ADs?= Date: Sat, 13 Apr 2024 12:24:23 +0200 Subject: [PATCH] Specifically mention randomizr --- README.Rmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.Rmd b/README.Rmd index 1ee25ec..3bd2da8 100644 --- a/README.Rmd +++ b/README.Rmd @@ -125,7 +125,7 @@ It doesn't work for our data. - The [Omixer](https://bioconductor.org/packages/Omixer/) package handles both numeric and categorical data (converting categorical variables to numeric). But both the same way either Pearson's Chi-squared Test if there are few samples or Kendall's correlation. It does allow to protect some spots from being used. -If you are still designing the experiment and do not have collected any data [DeclareDesign](https://cran.r-project.org/package=DeclareDesign) might be relevant for you. +If you are still designing the experiment and do not have collected any data [DeclareDesign](https://cran.r-project.org/package=DeclareDesign) might be relevant for you. But specially the [randomizr](https://cran.r-project.org/package=randomizr) packages which makes common forms of random assignment and sampling. Question in [Bioinformatics.SE](https://bioinformatics.stackexchange.com/q/4765/48) I made before developing the package.