View source: R/p_standardized.R

p_standardized | R Documentation |

Compute standardized alpha level based on unstandardized alpha level and the number of observations N.

p_standardized(p, N, standardize_N = 100)

`p` |
The observed p-value. |

`N` |
The number of observations (e.g., the sample size) in the dataset |

`standardize_N` |
The number of observations (e.g., the sample size) you want to use to standardize the alpha level for. Defaults to 100 (base on Good, 1982). |

Good, I. J. (1982). C140. Standardized tail-area probabilities. Journal of Statistical Computation and Simulation, 16(1), 65–66. <https://doi.org/10.1080/00949658208810607>

## Check it yields .05 for N = 100: p_standardized(p = 0.05, N = 100) ## Check it yields .05 for N = 200, p = 0.03535534: p_standardized(p = 0.03535534, N = 200) ## What is a standardized p-value for p = .05 and N = 200? p_standardized(p = 0.05, N = 200) ## You can change the standardization N, repeating the example above: p_standardized(p = 0.05, N = 100, standardize_N = 200)

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