solve.q: function to do ...
In mcp.project: Applies different False Discovery Rate controlling procedures

Description Usage Arguments Details Value Note Author(s) References See Also Examples

~~ A concise (1-5 lines) description of what the function does. ~~

1	solve.q(sorted, m, j, r = 0)

`sorted`	~~Describe `sorted` here~~
`m`	~~Describe `m` here~~
`j`	~~Describe `j` here~~
`r`	~~Describe `r` here~~

~~ If necessary, more details than the description above ~~

~Describe the value returned If it is a LIST, use

`comp1`	Description of 'comp1'
`comp2`	Description of 'comp2'

...

~~further notes~~

~Make other sections like Warning with Warning .... ~

~~who you are~~

~put references to the literature/web site here ~

~~objects to See Also as help, ~~~

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--    or do  help(data=index)  for the standard data sets.

## The function is currently defined as
function (sorted, m, j, r = 0) 
{
    a = sorted * (m - r)/(1:m)
    stopifnot(a > 0, j >= 1, j <= m, r >= 0, r <= m)
    adjusted = ifelse(a > 0.5, 1, a/(1 - a))
    temp.min = adjusted[m]
    for (i in m:j) {
        if (adjusted[i] <= temp.min) 
            temp.min = adjusted[i]
        else adjusted[i] = temp.min
    }
    return(adjusted)
  }