Easy to Use Tools for Common Forms of Random Assignment and Sampling

Generates random assignments for common experimental designs and random samples for common sampling designs.


randomizr is designed to make conducting field, lab, survey, or online experiments easier by automating the random assignment process.

Installation from CRAN is easy:

install.packages("randomizr")

If you'd like to install the most current development release, use the following code:

install.packages("devtools")
devtools::install_github("acoppock/randomizr")

There are four functions in randomizr: simple_ra(), complete_ra(), block_ra(), and cluster_ra(), corresponding to common experimental designs.

complete_ra() is the workhorse function that will be most appropriate for a large number of experimental situations: it assigns m of N units to treatment:

library(randomizr)
Z <- complete_ra(N=100, m=50)
table(Z)
#>  0  1 
#> 50 50

A more complicated design that, for example, assigns different numbers of clusters to three different treatments can be accomodated like this:

# This makes a cluster variable: one unit in cluster "a", two in "b"...
clust_var <- rep(letters, times=1:26)
 
Z <- cluster_ra(clust_var=clust_var, m_each=c(7, 7, 12),
                condition_names=c("control", "placebo", "treatment"))
table(Z, clust_var)
#>            clust_var
#> Z            a  b  c  d  e  f  g  h  i  j  k  l  m  n  o  p  q  r  s  t  u
#>   control    0  0  0  4  0  0  0  0  0  0  0 12  0  0  0  0  0 18 19  0  0
#>   placebo    0  2  3  0  5  0  7  0  0  0 11  0  0  0  0 16  0  0  0  0  0
#>   treatment  1  0  0  0  0  6  0  8  9 10  0  0 13 14 15  0 17  0  0 20 21
#>            clust_var
#> Z            v  w  x  y  z
#>   control   22  0 24  0 26
#>   placebo    0 23  0  0  0
#>   treatment  0  0  0 25  0

Happy randomizing!

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Reference manual

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install.packages("randomizr")

0.6.0 by Alexander Coppock, 20 days ago


Browse source code at https://github.com/cran/randomizr


Authors: Alexander Coppock [aut, cre], Jasper Cooper [ctb]


Documentation:   PDF Manual  


GPL-3 license


Suggests knitr, dplyr, blockTools, testthat, rmarkdown


See at CRAN