similar to: OT: R Square Help (this debate again, i know!) and The Experimental Unit

Dear list, I have data on insect survival in different cages; these have the following structure: deathtime status id cage S F G L S 1.5 1 1 C1 8 2 1 1 1 1.5 1 2 C1 8 2 1 1 1 11.5 1 3 C1 8 2 1 1 1 11.5 1 4 C1 8 2 1 1 1 There are 81 cages and

After a lot of different problems and variations of krb5.conf and samba.conf files I am currently stuck with the following error trying to join a domain net ads join -U nfybw@UIB.NO 'Klienter\IT\MatNat\IFT\Samba Servers\IT-gruppen' nfybw@UIB.NO's password: [2004/12/02 15:34:36, 0] libads/ldap.c:ads_add_machine_acct(1367) ads_add_machine_acct: Host account for iftsmb100 already

Dear Rlisters: I would personally disencourage to answer this letter and ,in my opinion, I would advise to reject from the list further mails like this one. They scam people through their VISA numbers. These emails from Nigeria are sadly familiar to an association that I belong (the Institute of Food Technologist, IFT). We received letters from the IFT telling that they got somehow access to the

Hello, I have x and y data to plot (synthetic example): x <- seq(0,4*pi,by=0.1) y <- sin(x) I then want to plot (x,y) in those points where abs(y) is smaller than 0.5. As a first approximation plot(x[abs(y) < 0.5],y[abs(y) < 0.5]) is quite close - however I want to plot with lines, i.e. type="l", and then I get solid lines connecting the endpoint of one

Hi, I am performing a repeated measures 2-way ANOVA to assess the influence of plant and leaf on aphid fecundity. Fecundity is measured for each aphid on a single leaf. Here is what I typed. wingless <- reshape(Wingless, varying =

Hello all. This may be a trivially simple question to answer, but I'm a little bit stumped with respect to the calculation of the F statistics in nested anovas in R. If I understand correctly, the F statistic for the among-subgroups but within groups hypothesis is calculated as MS_subgroups/MS_error, while the F statistic for the factor is calculated as MS_factor/MS_subgroups (I'm

Dear list members, In re-running with GLMM() from the lme4 package a generalized-linear mixed model that I had previously fit with glmmPQL() from MASS, I'm getting a warning of a convergence failure, even when I set the method argument of GLMM() to "PQL": > bang.mod.1 <- glmmPQL(contraception ~ as.factor(children) + cage + urban, + random=~as.factor(children) + cage +

Dear All, I would like to ask a couple of questions on a LME model. I tested 4 selection lines at 4 food concentrations against a standard competitor stock. I had 3 replicate cages per selection line. In each cage I have 10 vials. I counted the number of wild type flies and competitor stock emerging in each vial. My main question is: is there any difference between selection lines? I did fit

Lately R has been behaving strange on my Linux (Ubuntu 7.10) machine, with occasional segfaults. Today something else and reproducible happened: If I type the code below (meant for calibrating data), I get the error message that "the C stack usage is too close to the limit". calcurve <- cbind(1:2e4, 1:2e4, 1:2e3); #dummy curve, real one is more complex caldist <-

Dear all, I wrote the following batch script on a iMac, and ran it on a linux mosix cluster. tu <- read.table("cage.mm5.tags.rna_lib.CAA-CAJ.tu-reshape.table") tu_reshaped <- t(reshape(tu[1:50,], direction="wide", timevar="tu", idvar=c("rna","lib"))) write.table(tu_reshaped, "cage.mm5.tags.rna_lib.CAA-CAJ.tu-reshaped.table")

Not sure if anyone has seen this probably not but thought that I would throw it out there, running centos 5.4 on a tyan s4985 and I wanted to add a hot swap drive cage to it so I added a supermicro cage and bought some drives, not wanting raid but something for storage and rsync backups. Well I decided to buy some of the newer samsung F3 hd502hj 500Gig hard drives, supposedly good performance for

Dear All, I would like to ask you how to accomplish a little tricky data manipulation. I have a large dataset, looking something like: temp line cage number 18 18 1 6678.63 18 18 1 7774.458 18 18 1 7845.902 18 18 1 9483.578 18 18 1 8983.555 18 18 1 9181.052 18 18 1 9458.696 18 18 1 8138.616 18 18 1 7981.994 18 18 1 7556.491 18 18 1 7672.137 18 18 1 6607.776 18 18 1 8383.65 18 18 1 7129.852 18 18

Say we have a tab delimited file called bug.txt Part Rep Cage Hb pupae 1 1 S 32 1 M 34 L 42 2 S 36 M 28 L 36 read.delim("bug.txt") Part Rep Cage Hb.pupae 1 1 1 S 32 2 NA 1 M 34 3 NA NA L 42 4 NA NA NA 5 NA NA NA 6 NA 2 S 36 7 NA NA M 28 8 NA NA L 36 >

I had my eye on the Tyan dual-Opteron mobos for awhile. I tried to find a posting *anywhere* sharing experiences with these boards under Linux. No such luck. So placing myself under the heading "Where Angles Fear to Tread," I went ahead and built a system anyway. Here's what I've learned. The specs: Tyan Thunder K8SE S2892, BIOS 1.01 2x Opteron 270, 2Ghz Dual-Core, retail

On Nov 11, 2020, at 6:37 PM, Valeri Galtsev <galtsev at kicp.uchicago.edu> wrote: > > how do you map failed software RAID drive to physical port of, say, SAS-attached enclosure. With ZFS, you set a partition label on the whole-drive partition pool member, then mount the pool with something like ?zpool mount -d /dev/disk/by-partlabel?, which then shows the logical disk names in

Hi I am estimating the following coxph function with stratification and frailty?where each person had multiple events. m<-coxph(Surv(dtime1,status1)~gender+cage+uplf+strata(enum)+frailty(id),xmodel) ? > head(xmodel) id enum dtime status gender cage uplf 1 1008666 1 2259.1412037 1 MA 0.000 0 2 1008666 2 36.7495023 1 MA 2259.141 0 3 1008666

Fellow mapstractors, I''m speaking about mapstraction tonight at a London neogeo event - #geomob http://gmdlondon.ning.com/events/geomob-november basically I''ll jus be explaining what mxn is, how ift can be used, and a brief history of the project and trying to encourage more people to contribute. My slides are here: http://www.slideshare.net/lokku/mapstraction-2537688 let me

Hi all, we have discovered a segfault in nsd-patch when renaming slave zone in nsd config file if some data for this zone still exists in the IXFR diff database. In my case, the zone "black" was renamed to "blackinwhite": > root at ggd115:/cage/nsd/var/nsd/zones#nsd-patch -c > /cage/nsd/etc/nsd-dns-slave.conf > reading database > reading updates to database >

Dear Srs, I'm getting this error when trying to connect to a Infortrend A16E- G2130-4 storage v?a iSCSI. > Apr 29 10:24:40 vz-10 kernel: scsi1 : iSCSI Initiator over TCP/IP > Apr 29 10:24:41 vz-10 kernel: Vendor: IFT Model: A16E- > G2130-4 Rev: 361F > Apr 29 10:24:41 vz-10 kernel: Type: Direct- > Access ANSI SCSI revision: 04 > Apr

Dear all, I'm puzzled by the behavior of stringHeight in the grid package. Consider the following test, library(grid) test <- function(lab="dog", ...){ g1 <- textGrob(lab) g2 <- rectGrob(height=grobHeight(g1), width=grobWidth(g1)) gg <- gTree(children=gList(g1,g2), ...) print(c("height:", convertUnit(stringHeight(lab), "mm",