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I have some binaries I would like to distribute with a package (I am not the original author; I have the source code but can't distribute it because it contains _Numerical Recipes_ code. The long-term solution is to replace the code with new code written in R, or in clean C, but in the meantime ...) I'm uncertain both where they ought to go and where they will work (and hoping there is someplace that will satisfy both). I had them in the exec/ directory: according t...

Good morning to all, I should find the zero of a specific function with respect to a vector of arguments. Does it exist something similar in R? Thank you very much, Enrico Foscolo

Dear R-users, I am trying to port to R something that I wrote in Matlab to perform model parameter optimization using the Nelder-Mead simplex method (fminsearch). I read the help on ?optim (which seems to be the way to go) as well as a bunch of posts on the topic, but I would like to make sure about something before I spend to much time trying to reproduce something that is not possible. The

All, I need to put authentication into my app, but I also need to integrate with a pre-existing user/password table. Can I use acts_as_authenticated or does that only work with a specific schema? I''m thinking I''ll just modify the authentication recipe in _Rails Recipes_ to meet my needs. Any other advice? Thanks, Wes -- Posted via http://www.ruby-forum.com/.

Hi, I'm a newcomer to R, having previously used SPSS. One problem I have run into is computing kurtosis. A test dataset is here: http://www.whinlatter.ukfsn.org/2401.dat > library(moments) > data <- read.table("2401.dat", header=T) > attach(data) > loglen <- log10(Length) With SPSS, I get Skewness -0.320 Kurtosis -1.138 With R: > skewness(loglen) [1]

Dear all, I think I must be going crazy.... If I do > mean(rpois(1000000, 14)) I get: [1] 13.50420 and again: > mean(rpois(1000000, 14)) [1] 13.49896 > mean(rpois(1000000, 14)) [1] 13.50161 > mean(rpois(1000000, 15)) [1] 14.49250 > mean(rpois(1000000, 15)) [1] 14.49897 > mean(rpois(1000000, 14.5)) [1] 13.99689 > mean(rpois(1000000, 14.5)) [1] 13.9963 This was on a platform