Why do the integration in Excel instead of using the integrate function in R? The R function will allow integration from -Inf to Inf. What was the correction to the formula? The last one you showed looked like the difference between the average min and average max, but did not take into account the correlation between the max and min (going from memory, don't have my theory books handy). For large n the correlation is probably small enough that it makes a good approximation.
________________________________ From: Spencer Graves [mailto:[EMAIL PROTECTED] Sent: Fri 3/21/2008 3:39 PM To: Greg Snow Cc: r-help@r-project.org Subject: Re: [R] function for the average or expected range?; CORECTION Hi, Greg: Thanks very much for the reply. 1. The 'ptukey' and 'qtukey' function are the distribution of the studentized range, not the range. I tried "sum(ptukey(x, 2, df=Inf, lower=FALSE))*.1" and got 1.179 vs. 1.128 in the standard table of d2 for n = 2 observations per subgroup. 2. I tried simulation and found that I needed 1e7 or 1e8 random normal deviates to get the accuracy of the published table. 3. Then I programmed in Excel the integral over seq(-5, 5, .1) using a correction to the formula I got from Kendall and Stuart and got the exact numbers in the published table except in one case where it was off by 1 in the last significant digit. Thanks again, Spencer Greg Snow wrote: > The "ptukey" and "qtukey" functions may be what you want (or at least in > the right direction). > > You could also easily estimate this by simulation. > > Hope this helps, > > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
