Bolstad: xdesign – R documentation

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xdesign

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
`...`	additional parameters which are passed to `Bolstad.control`

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)

Bolstad

Functions for Elementary Bayesian Inference

v0.2-41

GPL (>= 2)

Authors

James Curran [aut, cre]

Initial release

2020-09-25