catEffectBootAdaptor: Adaptor for testing category effects in simulations using the...
In PsumtSim: Simulations of grouped responses relative to baseline.

Description Usage Arguments Value Author(s) See Also Examples

Adaptor for testing category effects in simulations using the boot package and function.

1	catEffectBootAdaptor(df, index, testFnc = sumSqCat, useResp = TRUE, ...)

`df`	dataframe structured as that returned by simCatResp, with category, bkg, resp columns.
`index`	index for rearrangement of data as provided by boot function
`testFnc`	function to calculate test statistic based its first argument, using the category labels in the second argument, and passed the other arguments (...) given to this adaptor function.
`useResp`	true if the statistic should be calculated for the rearranged resp column of the dataframe, otherwise false to use the bkg column.
`...`	other arguments to pass to the testFnc

value of the test statistic

Peter N. Steinmetz <PeterNSteinmetz@steinmetz.org>

boot

  # Simulate 4 categories of responses and then compute the number of times
  # there would be a significant effect of a change in the categories relative
  # to background using the CBT. This would form a rough estimate of the power
  # of the CBT to detect such changes.
  library(boot)
  library(EffectsRelBaseline)
  simCatResp(1,c(1,1.5,2,1),6)->sim3
  boot(sim3,catEffectBootAdaptor,100,backMean=mean(1,1.5,2,1))->boot3
  sum(boot3$t0>boot3$t)