| sample_with_prev_treatment {minMSE} | R Documentation |
Sample Under Consideration of an Already Treated Subset of Units
Description
Given a previous treatment assignment vector for a subset of all observations that treatment assigment is desired for, the function computes a treatment assignment vector for which the previously assigned units are not changed. At a later step, the previously assigned units are also taken into consideration for computation of the score value, the min MSE function, to achieve balanced treatment groups.
Usage
sample_with_prev_treatment(prev_treatment, n_treatments, n_per_group)
Arguments
prev_treatment |
takes a numerical vector of partial treatment assignment as argument, and – for a start – assigns the missing units (where the value is NA) to a random treatment group, while maintaining the same proportions in the groups. |
n_treatments |
specifies the number of treatment groups desired (in addition to the control group). They might be more than the ones already defined in prev_treatment. |
n_per_group |
specifies the distribution of participants per experimental group. It is either an integer, which produces even-sized groups, or a vector which has the same length as the number of experimental groups. |
Value
Returns a treatment assignment vector where the observations given by prev_treatment are unmodified, and the others are assigned to a group.
Author(s)
Sebastian Schneider sschneider@coll.mpg.de; sebastian@sebastianschneider.eu, Giulia Baldini giulia.baldini@uni-bonn.de
Examples
sample_with_prev_treatment(prev_treatment = c(0, NA, NA, NA, 1, NA, NA, NA, NA, NA),
n_treatments = 2,
n_per_group = c(2, 4, 4))