Description Usage Arguments Value Examples
View source: R/linear_power_functions_in_progress.R
Calculates the power to detect an difference in means/effect size/regression coefficient, at a given sample size, N, with type 1 error rate, Alpha
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N |
Vector of the desired sample size(s) |
MAF |
Vector of minor allele frequencies |
ES |
Vector of effect sizes (difference in means) to detect. Either ES or R2 must be specified. |
R2 |
Vector of R-squared values to detect. Either ES or R2 must be specified. |
sd_y |
Standard deviation of the outcome in the population (ignoring genotype). Either sd_y_x or sd_y must be specified. |
Alpha |
the desired type 1 error rate(s) |
True.Model |
A vector specifying the true underlying genetic model(s): 'Dominant', 'Additive1', 'Recessive' or 'All' |
Test.Model |
A vector specifying the assumed genetic model(s) used in testing: 'Dominant', 'Additive', 'Recessive' or 'All' |
A data frame including the power for all combinations of the specified parameters (Case.Rate, ES, Power, etc)
1 2 3 | pw <- power.calc.linear(N=1000,
MAF=0.1, ES=3,sd_y = 1,Alpha=0.05,
True.Model='All', Test.Model='All')
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