Superpower (version 0.2.0)

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

Description

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

Usage

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<U+2013>66. <https://doi.org/10.1080/00949658208810607>

Examples

# NOT RUN {
## Check it yields .05 for N = 100:
alpha_standardized(alpha = 0.05, N = 100)
## Check it yields .05 for N = 200:
alpha_standardized(alpha = 0.07071068, N = 200)
## Which alpha should we use with N = 200?
alpha_standardized(alpha = 0.05, N = 200)
## You can change the standardization N, repeating the example above:
alpha_standardized(alpha = 0.05, N = 100, standardize_N = 200)
# }