I would have assumed it was just an artifact of the fact Prof Stevens specified the omegahat repos in his call, though I haven't looked at the innards of install.packages to see when/how the re-route to CRAN extras happens.
Michael On Sun, Jan 22, 2012 at 4:08 PM, Duncan Murdoch <murdoch.dun...@gmail.com> wrote: > On 12-01-22 3:56 PM, R. Michael Weylandt wrote: >> >> CRAN suggests it's not available for windows since the build can't be >> automated: http://cran.r-project.org/bin/windows/contrib/r-release/ReadMe >> >> but it suggests builds are available from Prof Ripley (to whom be >> honor and praise for ever and ever, amen!) here: >> http://www.stats.ox.ac.uk/pub/RWin/bin/windows/contrib/2.14/ > > > That build would normally be found automatically by > > install.packages("XML") > > and it was when I just tried it. Perhaps David has "CRAN (extras)" disabled > in his list of selected repositories? > > Duncan Murdoch > > >> >> Michael >> >> On Sun, Jan 22, 2012 at 3:52 PM, David Stevens<david.stev...@usu.edu> >> wrote: >>> >>> I'm following this thread and got curious about Ryacas. After installing >>> yacas and Ryacas, I was alerted to the missing XML package for Windows. >>> I couldn't find in on a couple of mirrors so I tried >>> http://www.omegahat.org/RSXML/ and >>> >>> install.packages("XML", repos = "http://www.omegahat.org/R";) >>> >>> but got >>> >>> Installing package(s) into 'D:/Users/David >>> Stevens/Documents/R/win-library/2.14' >>> (as 'lib' is unspecified) >>> Warning message: >>> In getDependencies(pkgs, dependencies, available, lib) : >>> package 'XML' is not available (for R version 2.14.1) >>> >>> for my troubles. The date on the omegahat site is 17 Jan 2012. Am I >>> missing something? >>> >>> David Stevens >>> >>> >>> >>> On 1/22/2012 12:39 PM, Gabor Grothendieck wrote: >>>> >>>> On Sun, Jan 22, 2012 at 1:25 PM, Eliano<eliano.m.marq...@gmail.com> >>>> wrote: >>>>> >>>>> People, >>>>> >>>>> I'm researching some Bayesian statistic topics and in the midle of my >>>>> study >>>>> i found a very simple problem and i'm trying to find a simple package >>>>> to >>>>> solve this type of equations: >>>>> >>>>> Lets say that i need to compute beta values for the beta distribution >>>>> and i >>>>> now for example: >>>>> >>>>> E(teta)=a/(a+b) = 0,5 >>>>> Var(teta)=ab/((a+b)^2(a+b+1))=0.05 >>>>> >>>>> So if i want to solve this to non-linear system to find a,b for the >>>>> beta >>>>> distribution wich pack should i use? >>>>> >>>> The equations giving a and b as a function of m and v are: >>>> >>>>> library(Ryacas) >>>>> a<- Sym("a"); b<- Sym("b") >>>>> m<- Sym("m"); v<- Sym("v") >>>>> Solve( List(a/(a+b) == m, a*b/((a+b)^2*(a+b+1)) == v), List(a, b) ) >>>> >>>> expression(list(list(a == m^2 * (1 - m)/v - m, b == a/m - a))) >>>> >>>> Based on the above we write this R function: >>>> >>>> beta.parms<- function(m, v) { >>>> a<- m^2 * (1-m)/v - m >>>> b<- a/m - a >>>> c(a = a, b = b) >>>> } >>>> >>>> and run it: >>>> >>>>> beta.parms(m = 0.5, v = 0.05) >>>> >>>> a b >>>> 2 2 >>>> >>> >>> -- >>> David K Stevens, P.E., Ph.D., Professor >>> Civil and Environmental Engineering >>> Utah Water Research Laboratory >>> 8200 Old Main Hill >>> Logan, UT 84322-8200 >>> 435 797 3229 - voice >>> 435 797 1363 - fax >>> david.stev...@usu.edu >>> >>> >>> >>> >>> [[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. >> >> >> ______________________________________________ >> 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. > > ______________________________________________ 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.
