n
and block size, where the block size is the number of experimental conditions. The number of Independent Variables and the number of levels in each IV are specified as input. The output is a the block randomized design. This function is intended for planning randomized trails.blockRandomizedDesign(blocksize, n, seed = NULL)
RB Morton, KC Williams (2010). Experimental political science and the study of causality: From nature to the lab. Cambridge University Press.