xdesign {Bolstad}R Documentation

Monte Carlo study of randomized and blocked designs

Description

Simulates completely randomized design and randomized block designs from a population of experimental units with underlying response values y and underlying other variable values x (possibly lurking)

Usage

	xdesign(x = NULL, y = NULL, corr = 0.8, size = 20, n.treatments = 4
					, n.rep = 500)

Arguments

x a set of lurking values which are correlated with the response
y a set of response values
corr the correlation between the response and lurking variable
size the size of the treatment groups
n.treatments the number of treatments
n.rep the number of Monte Carlo replicates

Value

If the ouput of xdesign is assigned to a variable, then a list is returned with the following components:
block.means a vector of the means of the lurking variable from each replicate of the simulation stored by treatment number within replicate number
treat.means a vector of the means of the response variable from each replicate of the simulation stored by treatment number within replicate number
ind a vector containing the treatment group numbers. Note that there will be twice as many group numbers as there are treatments corresponding to the simulations done using a completely randomized design and the simulations done using a randomized block design

Examples

# Carry out simulations using the default parameters 
xdesign()
# Carry out simulations using a simulated response with 5 treaments, groups of size 25, and a correlation of -0.6 between the response and lurking variable
xdesign(corr=-0.6,size=25,n.treatments=5)

[Package Bolstad version 0.2-17 Index]