RandomExp: Randomized Experimental Designs

In homerhanumat/tigerstats: R Functions for Elementary Statistics

Description

Randomizes subjects into treatment groups according to specified criteria.

Usage

RandomExp(data,sizes=NULL,groups=NULL,block=NULL,seed=NULL)

Arguments

data	A data frame containing the subjects to be randomized
sizes	a numeric vector indicating the sizes of the treatment groups. Vector must sum to the number of subjects. If not provided, subjects will be randomized into two groups of size as nearly equal as possible.
groups	a character vector giving the names of the groups. Names correspond to sizes specified in previous sizes. Length of groups must equal length of sizes.
block	Variable(s) in the data frame with respect to which blocking is performed. In order to block with respect to more than one variable at once, enter as character vector, e.g.: c("Var1","Var2").
seed	randomization seed, for reproducibility of results.

Value

A data frame: the input frame data augmented with a variable treat.grp indicating the assignment of subjects to groups.

Author(s)

Homer White [e-mail]

Examples

data(SmallExp) #small hypothetical list of subjects

#completely randomized design
RandomExp(SmallExp)  

#Block with reppect to sex:
RandomExp(SmallExp,sizes=c(8,8),groups=letters[1:2],block="sex")

#Block for both sex and athletic status:
RandomExp(SmallExp,sizes=c(8,8),groups=letters[1:2],block=c("sex","athlete"))

homerhanumat/tigerstats documentation built on Sept. 27, 2020, 3:21 a.m.