search for: bwittner

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2016 Jan 11
2
rgl.snapshot only captures a small portion what's visible in the RGL device window on CentOS 7
.... Please see my replies below. -Ben > Are you using the EPEL R 3.2.3 builds? I'm not sure what the question means, but I'm pretty sure the answer is no. I know I built the versions of R I used from source code (i.e., ./configure followed by make). > What version of Centos 7? 7.2? [bwittner at kagoshima ~]$ cat /etc/redhat-release CentOS Linux release 7.2.1511 (Core) [bwittner at kagoshima ~]$ rpm -q centos-release centos-release-7-2.1511.el7.centos.2.10.x86_64 [bwittner at kagoshima ~]$ uname -rmi 3.10.0-327.3.1.el7.x86_64 x86_64 x86_64 > Is the NVIDIA driver in play? I think s...
2016 Jan 11
2
rgl.snapshot only captures a small portion what's visible in the RGL device window on CentOS 7
Dear R-SIG-Fedora, I'm finding that on CentOS 7, rgl.snapshot (a function in the R package rgl, which provides an R interface to the OpenGL 3-d graphics library) only captures a small portion what's visible in the RGL device window. This does not happen with the same R and rgl versions on CentOS 5.3 (see details below). The maintainer of rgl, Duncan Murdoch, responded (see below) that
2004 Aug 05
8
or of a logical vector
Is there some fast (built-in?) way to get the OR of all the elements in a logical vector? In other words, is there some fast (built-in) version of the function vor below? Thanks. -Ben vor <- function(v) { ans <- v[1] if (length(v) > 1) for (i in 2:length(v)) ans <- ans | v[i] ans }
2008 Jan 03
2
confidence interval too small in nlme?
...and compare Gaussian linear and nonlinear mixed-effects models. Depends: graphics, stats, R (>= 2.4.0) Imports: lattice LazyLoad: yes LazyData: yes License: GPL (>=2) Packaged: Thu Oct 4 23:25:21 2007; hornik Built: R 2.6.0; i686-pc-linux-gnu; 2007-12-26 15:48:00; unix -- File: /home/bwittner/R-2.6.0/library/nlme/DESCRIPTION > version _ platform i686-pc-linux-gnu arch i686 os linux-gnu system i686, linux-gnu status major 2 minor 6.0 year 2007 month 10 day 03 svn rev 43063 languag...
2004 Aug 30
2
suggestions motivated by quest for remainders
Some time ago I tried to find out how to compute remainders in R. I now know that it is done with %%, which is documented in help('+'), but before someone told me that I tried: help('remainder'), help.search('remainder'), apropos('remainder') help('modulo'), help.search('modulo'), and apropos('modulo') all of which yielded nothing. I then