xdesign {Bolstad} | R Documentation |
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)
xdesign( x = NULL, y = NULL, corr = 0.8, size = 20, n.treatments = 4, n.rep = 500, ... )
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 |
... |
additional parameters which are passed to |
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 |
# 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)