similar to: need help on nlme()

data from multilevel units,first sample the class ,and then the student in calss.following is the 2-level model. and the level-1 model deals with the student,and the level-2 model deals with the class level the students belong to. Level-1 Model Y = B0 + B1*(ZLEAD) + B2*(ZBUL) + B3*(ZSHY) + R Level-2 Model B0 = G00 + U0 B1 = G10 + G11*(ZWARMT) + U1 B2 = G20 + G21*(ZWARMT) + G22*(ZABLET) +

I'm currently using rsync to backup home directories using this: rsync -avx --delete --backup --backup-dir=/u1/home.bak /u0/home/ /u1/home >> ${log} I'm trying to move to snapshot backups using this: rsync -avx --delete --backup --backup-dir=/u1/home.bak --link-dest=../home.current /u0/home/ /u1/home_${datetime} >> ${log} This works except I no longer get deleted source

Hello, I'm having an odd problem that I can't find a resolution to. I have a Freebsd 6.2 server with recently upgrade samba software (from 3.0.26a) and an WinXP client. There's a single file: 1015280 -rw-r--r-- 1 userid staff 991M Jan 7 09:13 fbsdusb.img shared from \\server\tmp, that appears twice when browsed from WinXP. If I rename it (i.e. fbsdUSB.img or fbsdusb.iso) or

Hello all, It seems that it is insufficient to rely on MemorySSA to correctly reorder load/stores. For example, we have this following code: v = load q store 10, p => store 10, p v = load q // This is incorrect if p and q may alias In the MemorySSA representation however, there's no syntactic dependency between load/store, because MemorySSA before transformation would look like this:

Everyone, Is there a way to manually assign usb drives to a specified device label. Is there a way to force two usb drives to be labeled as /dev/sdc and /dev/sdd? I decided to build an archive server for the purpose of backing up other fedora/centos desktops at the office. I built a machine and have installed Centos 7.3 on it with all updates current. I also purchased a 3.0 usb sata drive

[my original message to s-news & r-help is attached ] No one possessed or knew of any S/R code for the sequential t-test. Also it doesn't appear in the SAS index. One or two suggested obtaining the S+ seqtrial software which may (or may not) cover this, but this seemed to be a bit of a "hammer to crack a nut". I have written a function based on the treatment in Wetheril

On Tue, Oct 2, 2018 at 4:44 AM Juneyoung Lee <juneyoung.lee at sf.snu.ac.kr> wrote: > > Hello Daniel, > > Thank you for the reply. > My impression was that embedding such information into MemorySSA > would be helpful for shorter compilation time > as well as people who needs this kind of information for writing optimizations, > but building time of MemorySSA also

Hi all, I want to fit data called "metal" with a polynominal function as dP ~ a.0 + a.1 * U0 + a.2 * U0^2 + a.3 * U0^3 + a.4 * U0^4 The data set includes, the independant variable U0 and the dependant variable dP. I've seen that the combination of lm() and poly() can do that instead of using the nls() function. But I don't get how to interpret the results from the linear

On Tue, Nov 08, 2005 at 06:08:25PM +0800, illiminable wrote: > Why not just make it OggRawFOURCC, do we really need one stream format for > rgb, and one for yuv ? [snip] > I just meant oggRaw, not fourcc. Oh, thank god you corrected this. :-) I was contemplating an "OggVid" format, and here is why I'm steering against it (though, yes, this has been a topic of

On Tue, Nov 08, 2005 at 06:08:25PM +0800, illiminable wrote: > Why not just make it OggRawFOURCC, do we really need one stream format for > rgb, and one for yuv ? [snip] > I just meant oggRaw, not fourcc. Oh, thank god you corrected this. :-) I was contemplating an "OggVid" format, and here is why I'm steering against it (though, yes, this has been a topic of

> But chroma subsampling? no. And this is where much of the complexity > comes. > > If we were to combine them, we would be, essentially, doing it something > like > this: > Value Meaning > 0 RGB > 1 YUV444 > 2 YUV422 > 3 YUV420 > 4 YUV411 > ..... Yes. > And then spend an additional field on bits/channel, whereas both chroma

> But chroma subsampling? no. And this is where much of the complexity > comes. > > If we were to combine them, we would be, essentially, doing it something > like > this: > Value Meaning > 0 RGB > 1 YUV444 > 2 YUV422 > 3 YUV420 > 4 YUV411 > ..... Yes. > And then spend an additional field on bits/channel, whereas both chroma

On 2016-11-02, Aki Tuomi <aki.tuomi at dovecot.fi> wrote: > If the standard way works, I am happy to include the original patch I > sent, amended so that it checks for presence of LIBRESSL_VERSION_NUMBER. > If they keep this promise, then we should have no worries about things > breaking up. Diff below is what I've added to OpenBSD ports. The libressl API is not cast in

Hello all, Simple version of my problem: I've got a list of data frames, where each data frame has the same number of columns and the same column names. I'd like to flatten the list into one large data frame. Is there an easy way to do this? Quick example code: a <- data.frame(x=c(1,2,3),y=c(5,7,9) b <- data.frame(x=c(2,4,7,9),y=c(2,3,5,4)) z <- list(a,b) # Do

Hey- I''m using ROR 1.0 and script.aculo.us 1.5.1. I''ve been trying unsuccessfully to render a partial in a DIV, but can''t seem to get the right combination of stuff to make it work. There seems to be a few different ways of going about it. Right now I can render a partial. What do I need to to render the partial in a div? Here is what it looks like so far: #

I can't seem to find just what I'm looking for in R help, Everitt and Hothorn HSAUR, Murrell's book, or the R graphics gallery at http://addictedtor.free.fr/graphiques/. Probably not looking efficiently, but anyway, If my data look like this: > head(data) cat startyear studentid 1 other 2001 12 2 UHS 2001 17 3 Lourdes 2001 10 4

I use sieve-filter for postprocessing misclassified mail. For false positives I use the following script: require [ "variables", "include", "fileinto" ]; global [ "FORCENOSPAM", "ext", "ext1" ]; set "FORCENOSPAM" "YES"; fileinto "JUNK-PRENOUCE"; if header :matches "Delivered-To"

Hi All, The data set that I have is a cluster data, and I want to run a HLM mixed model with multi-level response. Here is my data set: response: - Level (num: 1, 2, 3, 4, 5 - 5 levels) Covariates: - Type (Factor: A, B, C - 3 levels) - yr (num: 2006, 2007, ...) - Male (num: 0=not Male, 1=Male - 2 levels) - Ethnicity (Factor: A, B, H, ..., - 7 levels) - ELL (num: 0, 1, - 2

Hello, Does anyone have experience using a 3ware 9650SE series raid controller on CentOS 6.0? I am getting very sporadic throughput with moderately sized files (0.5-2GB) on ext3. I have tried most of the mount time tuning options: * noatime * trying different journal types * setting commit=120 - helped a little Even after these optimizations it doesn't seem like the raid array is working

I currently have a data frame whose rows correspond to each student and whose columns are different variables for the student, as shown below: Lastname Firstname CATALOG_NBR Email StudentID EMPLID Start 1 alastname afirstname 1213 *@uark.edu 10295236 # 12/2/2008 2 anotherlastname anotherfirstname 1213 **@uark.edu ## 10295236 9/3/2008 Xattempts Q1