• API
• FAQ
• Tools
• Archive
SHARE
TWEET

# Untitled

a guest Mar 17th, 2018 117 Never
Not a member of Pastebin yet? Sign Up, it unlocks many cool features!
1. sim1 = function(n=40, mu=0.6343) {
2.   a  = rnorm(n,   0.0, 1)
3.   b1 = rnorm(n/2, mu - mu/4, 1)
4.   b2 = rnorm(n/2, mu + mu/4, 1) # interaction is mu/2
5.
6.   dat = data.frame(Group = c(rep("C", n), rep("T", n)),
7.                    Sex   = rep(c(rep("F", n/2), rep("M", n/2)), 2),
8.                    Val   = c(a, b1, b2))
9.   fit   = lm(Val ~ Group*Sex, dat)
10.   return(summary(fit)\$coefficients)
11. }
12.
13. sim2 = function(n=40, mu=0.6343) {
14.   a  = rnorm(n,   0.0, 1)
15.   b1 = rnorm(n/2, mu - mu/4, 1)
16.   b2 = rnorm(n/2, mu + mu/4, 1) # interaction is mu/2
17.
18.   dat = data.frame(Group = c(rep("C", n), rep("T", n)),
19.                    Sex   = rep(c(rep("M", n/2), rep("F", n/2)), 2),  # we only exchange labels M & F
20.                    Val   = c(a, b1, b2))
21.   fit   = lm(Val ~ Group*Sex, dat)
22.   return(summary(fit)\$coefficients)
23. }
24.
25. n = 40
26. d = power.t.test(n=n, power=0.8)\$delta
27.
28. # variation 1
29. res1=sapply(1:1000, function(x) sim1(n, d))
30. mean(res1[14,]<0.05) # power main effect
31.
32. # variation 2
33. res2=sapply(1:1000, function(x) sim2(n, d))
34. mean(res2[14,]<0.05) # power main effect
RAW Paste Data
We use cookies for various purposes including analytics. By continuing to use Pastebin, you agree to our use of cookies as described in the Cookies Policy.
Not a member of Pastebin yet?