adaptive.bh: ~~function to do ... ~~

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

View source: R/adaptive.r

Description

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

Usage

1
adaptive.bh(sorted, q, m)

Arguments

sorted

~~Describe sorted here~~

q

~~Describe q here~~

m

~~Describe m here~~

Details

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

Value

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

comp1

Description of 'comp1'

comp2

Description of 'comp2'

...

Note

~~further notes~~

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

Author(s)

~~who you are~~

References

~put references to the literature/web site here ~

See Also

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

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
##---- 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, q, m) 
{
    cat("Calling Adaptive BH \n")
    flush.console
    stage.one = bh(sorted, q, adjust = T, m = m)
    r = sum(stage.one$Pvals[["rejected"]])
    if (r == 0) 
        return(stage.one)
    else m0 = bh.m0.estimate(sorted = sorted, m = m)
    output = bh(sorted = sorted, q = q, m0 = m0, m = m)
    output$Pvals[["adjusted.pvals"]] = bh.adjust(sorted, m = m, 
        m0 = m0)
    return(output)
  }

mcp.project documentation built on May 31, 2017, 2:26 a.m.