Nothing
rPval <- function(n, u, theta, sigma2, seed = 1){
## generate a random number from the p-value distribution
## note: u is the trial-specific standard error, not a uniform random number!
## note that the sign of the effect sizes depends on theta!
set.seed(seed)
rn <- rep(NA, n)
yn <- rep(NA, n)
runi <- runif(n)
for (i in 1:n){
rn[i] <- qPval(runi[i], u, theta, sigma2)
y <- - u * qnorm(rn[i] / 2)
yn[i] <- y
sign_i <- sign(runif(1, -1, 1))
if (sign_i == -1){yn[i] <- 2 * theta - y}
if (round(i / 100) == i / 100){print(paste("random number: ", i, " of ", n, " generated", sep = ""))}
}
res <- list("rn" = rn, "yn" = yn)
return(res)
}
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