crd: Completely Randomized Design (CRD)

In FSM: Finite Selection Model

Description

Generates an assignment under completely randomized design (CRD).

Usage

crd(data_frame, n_treat, treat_sizes, control = FALSE)

Arguments

data_frame	A data frame corresponding to the full sample of units.
n_treat	Number of treatment groups.
treat_sizes	A vector of treatment group sizes. If control = TRUE, the first element of treat_sizes should be the control group size.
control	If TRUE, treatments are labeled as 0,1,...,g-1 (0 representing the control group). If FALSE, they are labeled as 1,2,...,g.

Value

The original data frame augmented with the column of the treatment indicator.

Author(s)

Ambarish Chattopadhyay, Carl N. Morris and Jose R. Zubizarreta.

References

Chattopadhyay, A., Morris, C. N., and Zubizarreta, J. R. (2020), “Randomized and Balanced Allocation of Units into Treatment Groups Using the Finite Selection Model for R”.

Examples

# Consider N = 12, n1 = n2 = n3 = 4.
df_sample = data.frame(index = 1:12, x = c(20,30,40,40,50,60,20,30,40,40,50,60))
# Draw a random assignment from CRD.
fc = crd(data_frame = df_sample, n_treat = 3, treat_sizes = c(4,4,4))
# Get vector of treatment assignments.
Z_crd = fc$Treat

FSM documentation built on March 11, 2021, 1:06 a.m.