| theta = log(rep(c(1,2.7),c(9900,100))) # log fold change for each gene |
| mu = rep(5,10000) # read depth |
| sig = rep(0.6,10000) # coefficient of variation |
| res = n.fdr.negbin(fdr = 0.1, pwr = 0.8, log.fc = theta, |
| mu = mu, sig = sig, pi0.hat = “BH”) |
| res |
| ## $n |
| ## [1] 20 |
| ## |
| ## $computed.avepow |
| ## [1] 0.8087842 |
| ## |
| ## $desired.avepow |
| ## [1] 0.8 |
| ## |
| ## $desired.fdr |
| ## [1] 0.1 |
| ## |
| ## $input.pi0 |
| ## [1] 0.99 |
| ## |
| ## $alpha |
| ## [1] 0.0008879023 |
| ## |
| ## $n0 |
| ## [1] 19 |
| ## |
| ## $n1 |
| ## [1] 20 |
| ## |
| ## $n.its |
| ## [1] 6 |
| ## |
| ## $max.its |
| ## [1] 50 |