getParamRanges: Data-generating parameter ranges for one-factor design

In dalejbarr/simgen: Monte Carlo Simulations of Simultaneous Generalization

Description

Get the default list of parameter ranges used in the Monte Carlo simulations for one-factor design. These parameter ranges can then be modified by the user.

Usage

getParamRanges()

Value

An environment object, containing the following variables:

evar.range	range of error variance (default [0,3])
icept.range	range of intercept (default [-3, 3])
pmissing.range	range of proportion missing obs (default [0, .05])
r01.item.range	range of by-subject intercept/slope correlation (default [-.8, .8])
r01.subj.range	range of by-item intercept/slope correlation (default [-.8, .8])
slope	treatment effect, when h0 TRUE, 0; when h0 FALSE, .8
t00.range	range of by-subject random intercept variance (default [0, 3]
t11.range	range of by-subject random slope variance (default [0, 3])
w00.range	range of by-item random intercept variance (default [0, 3])
w11.range	range of by-item random slope variance (default [0, 3])

See Also

createParamMx

Examples

# display all the parameter ranges
print(as.list(getParamRanges()))

# how to alter one of the values
p.env <- getParamRanges()
p.env$pmissing.range <- c(0, .25)
assign("pmissing.range", c(0, .25), env=p.env) # alternate way
print(as.list(p.env))

dalejbarr/simgen documentation built on May 14, 2019, 3:32 p.m.