Description Usage Arguments Value Note Author(s) References Examples

View source: R/compExclusionFraction.R

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.

1 2 3 4 | ```
# 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)
``` |

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