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I'm trying to use a contributed package (rmetasim) to generate simulated genetic datasets. My scripts work fine when I run them on a Sun workstation running Solaris 7 and when I run them on a ~4 year old laptop PC that I have. However, when I run them on my new laptop (Dell Latitude D410 purchased in August 2005), the simulation will run for a short (variable) period of time, then R

> Looking for a simple, effective a minimum execution time solution. > > For a vector as: > > c(0,0,1,0,1,1,1,0,0,1,1,0,1,0,1,1,1,1,1,1) > To transform it to the following vector without using any loops: > (0,0,1,0,1,2,3,0,0,1,2,0,1,0,1,2,3,4,5,6) > Appreciate any suggetions. [[alternative HTML version deleted]]

I realized that the script I included in my original post (see below) was written for an older version of rmetasim and will not work with the current version. The only change that need be made to get my script to run with the latest release of rmetasim is to change the command 'simulate.landscape()' to 'sim.landscape()'. My apologies to anyone who tried to use my script and

Hi everyone, Please forgive me if my question is simple and my code terrible, I'm new to R. I am not looking for a ready-made answer, but I would really appreciate it if someone could share conceptual hints for programming, or point me toward an R function/package that could speed up my processing time. Thanks a lot for your help! ## My dataframe includes the variables 'year',

Hi I deal with long vectors almost all of whose elements are zero. Typically, the length will be ~5e7 with ~100 nonzero elements. I want to deal with these objects using a sort of sparse vector. The problem is that I want to be able to 'add' two such vectors. Toy problem follows. Suppose I have two such objects, 'a' and 'b': > a $index [1] 20 30 100000000

Linux 3.11 added respective support, so I think we should follow suit. 1: xen: add LZ4 decompression support 2: libxc: add LZ4 decompression support Signed-off-by: Jan Beulich <jbeulich@suse.com>

Hi, so here it is, LZ4 compression method inside btrfs. The patchset is based on top of current Chris'' for-linus + Andi''s snappy implementation + the fixes from Li Zefan. Passes xfstests and stresstests. I haven''t measured performance on wide range of hardware or workloads, rather wanted to publish the patches before I get distracted again. I''d like to ask

WARNING: This is not compatible with the previous lz4 patchset. If you''re using experimental compression that isn''t in mainline kernels, be prepared to backup and restore or decompress before upgrading, and have backups in case it eats data (which appears not to be a problem any more, but has been during development). These patches add lz4 and lz4hc compression

2. update ZFS in libfsimage from illumos for pygrub diff -r 7c12aaa128e3 -r c2e11847cac0 tools/libfsimage/Rules.mk --- a/tools/libfsimage/Rules.mk Thu Oct 24 22:46:20 2013 +0100 +++ b/tools/libfsimage/Rules.mk Sat Oct 26 20:03:06 2013 +0400 @@ -2,11 +2,19 @@ include $(XEN_ROOT)/tools/Rules.mk CFLAGS += -Wno-unknown-pragmas -I$(XEN_ROOT)/tools/libfsimage/common/