Description Usage Arguments Value See Also Examples
run_test
runs a userdefined function iteratively. This function is
intentionally kept general and flexible, to allow for a wide variety of
applications. This function is the generalpurpose function called by
functions such as grid_search
and random_search
, which provide
different methods for generating the parameters to be tested.
1 2 3 
func 
A userdefined function. The first argument to this function will be the iteration number. 
params 
A list or data frame of parameters to be passed to 
n.iter 
Number of iterations (per set of params). 
output 
Specifies how 
boot 
Whether or not to use bootstrapped data to pass along to

bootParams 
If 
parallel 
The type of parallel operation to be used (if any). 
ncpus 
Integer: the number of processes to be used in parallel operation. 
cl 
An optional 
beep 
Include a numeric value or character vector indicating the sound you wish to play once the tests are done running. If set to TRUE, a random sound will be played. Requires the 'beepr' package, and information about supported values is available in the documentation for that package. 
... 
Additional arguments to be passed to 
Returns a list (by default) with one element per iteration. If
output
is specified as "data.frame", then func
must
return a (named) vector with the results you wish to capture.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18  lm_test < function(iter, N, b0, b1) {
x < rnorm(N, 0, 1)
y < rnorm(N, b0 + b1*x, sqrt(1  b1^2))
data < data.frame(y, x)
model < lm(y ~ x, data)
# capture output from model summary
est < coef(summary(model))['x', 'Estimate']
se < coef(summary(model))['x', 'Std. Error']
p < coef(summary(model))['x', 'Pr(>t)']
return(c(xm=mean(x), xsd=sd(x), ym=mean(y), ysd=sd(y), est=est, se=se, p=p,
sig=est > 0 & p <= .05))
}
# test power for sample size N=200 and N=300, with 500 iterations for each
power_sim < run_test(lm_test, params=data.frame(N=c(200, 300)),
n.iter=500, b0=0, b1=.15)

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