compExclusionFraction: Compute fraction of cells with category selective response...
In PsumtSim: Simulations of grouped responses relative to baseline.

Description Usage Arguments Value Note Author(s) References Examples

Computes fraction of simulated cells, with Poisson responses to background and varying rates to different categories, which will have an effect of category but be excluded by pre-testing.

1 2	compExclusionFraction(bkg, resps, numTrialsPerCat, pretestP, anovaP, showProgress = FALSE, numCells = 1000)

`bkg`	Mean firing rate during a background interval, unrelated to stimulus presentation.
`resps`	Mean firing rates during a response period, one for each category.
`numTrialsPerCat`	Number of repetitions (presentation of stimuli) in each category.
`pretestP`	Significance level applied in pre-tests for effect of each category.
`anovaP`	Significance level applied in ANOVA for effect of category.
`showProgress`	TRUE if should list cell number as calculating. Default is FALSE.
`numCells`	Number of cells to simulate. Default is 1000.

`exclusionFrac`	Fraction of cells which were not rejected by the first t-test; thus fraction of those ignored for the second test.
`catSelectiveFrac`	Fraction of all cells determined to have an effect of category on responses.
`catSelExclFrac`	Fraction of cells with a significant response to category which are excluded because they were not rejected by the first t-test.

The t-test which is performed for pre-selection is two-sided.

Peter N. Steinmetz <PeterNSteinmetz@steinmetz.org>

Steinmetz, P.N. & Thorp, C.K. (2013) Testing for effects of different stimuli on neuronal firing relative to background activity. Journal of Neural Engineering, Sept. 2013.

# This set of rates and alphas will exclude approximately 62% of neurons with 
# an effect of category on firing rates.
compExclusionFraction(10,c(10,9.5,10.5),5,
	pretestP=0.01,anovaP=0.05,showProgress=TRUE)