qgausschaos: function to do ...
In quaddisc: Quadratic discrepancies

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

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

1	qgausschaos(dP, vLambda, lArgsUniroot = list(interval = c(0, 100)), ...)

`dP`	~~Describe `dP` here~~
`vLambda`	~~Describe `vLambda` here~~
`lArgsUniroot`	~~Describe `lArgsUniroot` here~~
`...`	~~Describe `...` 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 (dP, vLambda, lArgsUniroot = list(interval = c(0, 100)), 
    ...) 
{
    if ((dP <= 0) | (dP >= 1)) 
        return("wrong argument (should be in (0, 1))")
    fnObj <- function(dC) {
        lP <- pgausschaos(dC, vLambda)
        if (lP$iFault != 0) 
            print("warning: error in computation of pgausschaos")
        return(lP$dResult - dP)
    }
    lArgsUniroot <- c(f = fnObj, lArgsUniroot)
    return(do.call("uniroot", lArgsUniroot))
  }