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

alpha_standardized(alpha, N, standardize_N = 100)

Arguments

alpha: The unstandardized alpha level (e.g., 0.05), independent of the sample size.
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).

References

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>

Examples

## Check it yields .05 for N = 100:
alpha_standardized(alpha = 0.05, N = 100)
#> [1] 0.05
## Check it yields .05 for N = 200:
alpha_standardized(alpha = 0.07071068, N = 200)
#> [1] 0.05
## Which alpha should we use with N = 200?
alpha_standardized(alpha = 0.05, N = 200)
#> [1] 0.03535534
## You can change the standardization N, repeating the example above:
alpha_standardized(alpha = 0.05, N = 100, standardize_N = 200)
#> [1] 0.07071068