blockRand: Random Treatment Assignments for Randomized Block Designs

In randomizationInference: Flexible Randomization-Based Inference

Random Treatment Assignments for Randomized Block Designs

Description

Randomly draws a specified number of assignment vectors or matrices according to a randomized block design.

Usage

blockRand(w, nrand, block)

Arguments

w	a vector or matrix of assignments.
nrand	a number specifying the desired number of random assignments.
block	a vector of block designations.

Details

Assignments are randomly permuted within each block.

If w is a matrix, the permutations occur by row.

Value

A list of random assignment vectors or matrices.

Author(s)

Joseph J. Lee and Tirthankar Dasgupta

See Also

completeRand, latinRand

Examples

w1 <- c(0, 1, 0, 1, 0, 1, 0, 1)
block <- c(0, 0, 0, 0, 1, 1, 1, 1)
blockRand(w1, nrand = 5, block)

w2 <- c(0, 0, 1, 1, 0, 0, 1, 1)
blockRand(w = cbind(w1, w2), nrand = 5, block)

randomizationInference documentation built on May 18, 2022, 1:06 a.m.