Last active
August 29, 2015 14:28
-
-
Save explodecomputer/4bf1b57dde4b8f29cef8 to your computer and use it in GitHub Desktop.
Power calculation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# Use this library - it handles linear regression instead of assuming balanced ANOVA | |
library(pwr) | |
# Just gonna simulate some data but you can obviously use the actual allele frequencies, effect sizes and phenotypic variances | |
# Allele frequencies: | |
nsnp <- 29 | |
p <- runif(nsnp) | |
# Effect sizes: | |
eff <- rnorm(nsnp) | |
# Variance of the SNP effects | |
snpvar <- 2 * p * (1-p) * eff^2 | |
# Phenotypic variance | |
# e.g. if all SNPs explain 2% of variance then | |
totvar <- sum(snpvar) / 0.02 | |
# Variance explained by all SNPs (R^2) | |
r2_total <- sum(snpvar) / totvar | |
r2_each_snp <- snpvar / totvar | |
# Other parameters | |
samplesize <- 5800 | |
multiple_tests <- 50 | |
# Test for all SNPs | |
pwr.f2.test( | |
u = 1, | |
v = samplesize - 2, | |
f2 = r2_total / (1 - r2_total), | |
sig.level = 0.05 / multiple_tests | |
) | |
# Test for each SNP | |
pwr.f2.test( | |
u = 1, | |
v = samplesize - 2, | |
f2 = r2_each_snp / (1 - r2_total), | |
sig.level = 0.05 / multiple_tests | |
) | |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment