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)