search for: rivest

Hi all, I would like to set the following configuration : - A Samba / LDAP PDC (name : rivest). - A NFS / Samba filer (name : brahms). Brahms is a member of my domain. I would like to store my windows profiles in brahms (into [profile] share). Here is brahms setup : [global] workgroup = MAPMO security = domain netbios name = brahms server string...

...#39;s recent inquiries about the efficiency of the R 'quantile' function: http://tolstoy.newcastle.edu.au/R/devel/05/11/3305.html http://tolstoy.newcastle.edu.au/R/devel/06/03/4358.html I decided to try to revive an old project to implement a version of the Floyd and Rivest (1975) algorithm for finding quantiles with O(n) comparisons. I used to have a direct translation from FR's algol68 in my quantreg package, but was forced to remove it when it encountered g77 compilers that didn't like the way I had handled recursion. Fortunately, in the interim, I...

I can't figure out how to verify flac md5 signatures. The docs say flac does an md5 over the unencoded audio data, but I can't reproduce it. I'm using flac 1.0.2 and Ron Rivest's reference md5 implementation. $ md5 temp.wav MD5 (temp.wav) = a7c92c4a656b2be2582f77c51b68a623 $ flac temp.wav $ metaflac temp.flac file: temp.flac METADATA block #0 ... MD5 signature: b315969d432443845ce93eac8355534b ... $ flac -d -c temp.flac | md5 ... a7c92c4a656b2be2582f77c51b68a623...

Hi, I was wondering whether there is any Fortran function or associated library for evaluating the quantiles of a set of values (something which the R-function quantile() does). Any help will be much appreciated. Thanks and regards, Dhiman Bhadra [[alternative HTML version deleted]]

Hi, I've got two suggestions how to speed up median() about 50%. For all iterative methods calling median() in the loops this has a major impact. The second suggestion will apply to other methods too. This is what the functions look like today: > median function (x, na.rm = FALSE) { if (is.factor(x) || mode(x) != "numeric") stop("need numeric data")

Is there a weighted median function out there similar to weighted.mean() but for medians? If not, I'll try implement or port it myself. The need for a weighted median came from the following optimization problem: x* = arg_x min (a|x| + sum_{k=1}^n |x - b_k|) where a : is a *positive* real scalar x : is a real scalar n : is an integer b_k: are negative and positive scalars

How 'bout PAM? /usr/ports/security/pam_ldap. If you have machines that can't do PAM, perhaps NIS is the way to go (assuming, of course, you're behind a firewall). You can store login information in LDAP like you want, then use a home-grown script to extract the information to a NIS map. Or, if you have a Solaris 8 machine lying around, you can cut out the middle step and use

Hi group, I found a module for adaptive kernel density estimation for Stata users, but unfortunetly I don't have access to Stata, can I find a similar approach using R? Thank u so much 4 ur time. [[alternative HTML version deleted]]