search for: cebitec

...atrixes? I already found a graph package as part of "Bioconductor". Are there more? If anyone knows and would tell me, I appreciate very much! Cheers, Andre -- Dipl.-Inform. Andre Skusa (PhD student) NRW Graduate School in Bioinformatics and Genome Research Center of Biotechnology (CeBiTec) University of Bielefeld Postfach 10 01 31 D-33501 Bielefeld Germany home: http://www.cebitec.uni-bielefeld.de/~askusa email: andre.skusa at cebitec.uni-bielefeld.de

I have been using the package vioplot to make boxplot/densityplots. Now I am looking for a variation of this, and I was wondering if someone could give me any tips on how to do what I want. I have nine groups of values, each group containing two sets of numbers which show the difference between two values, such as this: Start dev Stop dev -1 10 5 -2 0

Hi, is there a way to restrict the set of admissible functions for an eval() statement to a possibly 'safe' set, excluding all potentially dangerous functions like 'system', 'open', etc.(like, for instance, in the 'Safe' module for Perl)? The background for this question is, that this would be run in a CGI-environment. The user should be able to input some

Hi, Im currently trying to debug a 'error in unprotect: stack imbalance' problem and I am curious about two basic questions on the use of PROTECT and UNPROTECT, which I could not figure out: - which objects have to be protected, namely, if the code is something like: SEXP fun, e; /* get the expression e ... */ fun = eval(e, R_GlobalEnv); /* or like this?: PROTECT(fun = eval(e,

I''m still trying to find a fix/workaround for the problem described in Unable to mount root pool dataset http://opensolaris.org/jive/thread.jspa?messageID=492460 Since the Blade 1500''s rpool is mirrored, I''ve decided to detach the second half of the mirror, relabel the disk, create an alternative rpool (rpool2) there, copy the current BE (snv_134) using beadm

Dear all, I would like to use the Levenberg-Marquardt algorithm for non-linear least-squares regression using function nls.lm. Can anybody help me to find a a way to compute confidence intervals on the fitted parameters as it is possible for nls (using confint.nls, which does not work for nls.lm)? Thank you for your help Michael