# R/combnRRepl.R In pi0: Estimating the proportion of true null hypotheses for FDR

```combnRRepl=function (x, n, m, R, FUN, simplify, ...)
{   ## this function should be called from combn2R ONLY,
## which guarantees x,n,m,x2,n2,m2, are all sensible
if(m>n-m && m!=n){
complement=TRUE
m=n-m
}else
complement=FALSE

a <- 1:m
r=FUN(x[a*(if(complement) -1 else 1)],...)
len.r <- length(r)

if (simplify) {
out <- matrix(r, nrow = len.r, ncol = R)
d <- dim(r)
dim.use <- if (length(d) > 1) c(d, R)
else if (len.r > 1) c(len.r, R)
else c(d, R)
}else {
out <- vector("list", R)
}

if (simplify & complement)
{	evalFUN=function() out[,nexttoselect]<<-FUN(x[-a],...)
}else if (simplify)
{	evalFUN=function() out[,nexttoselect]<<-FUN(x[a],...)
}else  if (complement)
{   evalFUN=function() out[[nexttoselect]]<<-FUN(x[-a],... )
}else
evalFUN=function() out[[nexttoselect]]<<-FUN(x[a],... )

for(nexttoselect in 1:R){
a=sample(n,m)
evalFUN()
}

if (simplify) dim(out)=dim.use
attr(out,'sample.method')="replace"
out
}
```

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pi0 documentation built on May 2, 2019, 4:47 p.m.