search for: disabused

Hi, folks. I have download the DVD image of CentOS 5.2. Comparing with the DVD image of Upstream OS Provider, I got a surprise: The size of the DVD image of Upstream OS Provider is just 2.87 GB(i386), but the size of the DVD image of CentOS 5.2(i386) is so large that is 3.74 GB! I kown that CentOS's developers did very excellent work on how to make the Upstream OS more availability and add

I have spent a day researching and attempting to debug this issue. I am hoping someone can tell me how (or disabuse me of the delusion that it's possible) to do the following: - Mirror the contents of a directory on one server to a remote server where there are diverse ownership and permissions - File and directory ownership on both the source and destination servers would normally prevent

Hello, Is there a way to compare the relative relevance of fixed and random effects in mixed models? I have in mind measures of effect size in ANOVAs, and would like to obtain similar information with mixed models. Are there information criteria that allow to compare the relevance of each of the effects in a mixed model to the overall fit? Thank you, Bruno

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My apologies if you will receive this twice as I posted it to the RForum forum yesterday. My understanding is that it is a separate forum. Gently disabuse me of this notion if I am mistaken. [paste] Thanks for allowing me to post to your community board. First, let me just say that we are looking to hire someone who is interested in and has been delving into RoR. However, we are not looking

Hi, All: The following identifies apparent inconsistencies and proposed fixes between the documentation and the behavior of 'nls'. Specifically, the help file says 'data' 'Can also be a list'. However, I got an error when I tried it with a list that could not be coerced to a data.frame. This is documented in the first example below. Also, the

Dear all, I am trying to estimate simultaneous equation model concerning growth in russian regions. I run the analysis by means of FIML in R sem package. I am not familiar with SEM yet, but I've just got several suitable estimated specifications. Nevertheless, sometimes R gives the following warning message: Warning message: Negative parameter variances. Model is probably underidentified.

...There's two types of autovectorization, SLP (superword level > parallelism) and ILP (instruction level parallelism). You can do ILP > which is loop-ignorant autovectorization of straight-line code which > turns out to be the code that runs inside the loop. Pardon me. I've been disabused by Owen Anderson for writing the above. SLP is loop-ignorant. ILP is a rather generic term and probably shouldn't be described as a type of autovectorization. Cross-iteration and intra-iteration better describes the distinction. In any event, the paper I was thinking of when I wrote the abo...

Andreas Bolka wrote: > Hi all, > > I'd like to have a first stab at a loop-based auto-vectorization pass as > part of 2009's Google Summer of Code program. As far as I can tell from > searching the mailing list archives, no work on such an auto-vectorizer > seems to be currently in progress. Hi Andreas, Actually, you'd be the third person to try writing one, with

>>>>> "K" == Kasper Daniel Hansen <khansen at stat.Berkeley.EDU> writes: K> On Oct 19, 2005, at 3:43 PM, Jeffrey J. Hallman wrote: K> <SNIP> >> Think about it. Once you have a basic math package that can handle >> matrix >> programming and various mathematical functions, building the various >> statistical modeling

Hi all, I'd like to have a first stab at a loop-based auto-vectorization pass as part of 2009's Google Summer of Code program. As far as I can tell from searching the mailing list archives, no work on such an auto-vectorizer seems to be currently in progress. Whereas auto-vectorization is a well-researched topic, complexity seems to quickly explode once more advanced loop constructs are

http://www.isc.org/sw/bind/view/?release=9.3.4 SECURITY ADVISORIES * CVE-2006-4095 CERT Vulnerability Note VU#915404 NISCC 172003 * CVE-2006-4096 CERT Vulnerability Note VU#697164 NISCC 172003 * CAN-2005-0034 NISCC-UNIRAS 20050125-00059 CERT Vulnerability Note VU#938617 [ODiP] == Dmitry Grigorovich