[R] Optimization

[Robert A LaBudde]

You don't need optimization for the solution to your problem. You 
just need an understanding of the meaning of qnorm() and some simple algebra.

Try: x<- (0.01-0.0032)/qnorm(0.7,0,1)


At 12:01 PM 6/18/2007, you wrote:

>Hi, I would like to minimize the value of x1-x2, x2 is a fixed value of 0.01,
>x1 is the quantile of normal distribution (0.0032,x) with probability of
>0.7, and the changing value should be x. Initial value for x is 0.0207. I am
>using the following codes, but it does not work.
>
>fr <- function(x) {
>       x1<-qnorm(0.7,0.0032,x)
>       x2=0.01
>       x1-x2
>}
>xsd <- optim(0.0207, fr, NULL,method="BFGS")
>
>It is the first time I am trying to use optimization. Could anyone give me
>some advice?
>--
>View this message in context: 
>http://www.nabble.com/Optimization-tf3941212.html#a11178663
>Sent from the R help mailing list archive at Nabble.com.
>
>______________________________________________
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>PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>and provide commented, minimal, self-contained, reproducible code.

================================================================
Robert A. LaBudde, PhD, PAS, Dpl. ACAFS  e-mail: ral at lcfltd.com
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