similar to: Package contrast error

Hi All, I've been searching the help archives but haven't found a workable solution to this problem. I'm running an lme model with the following call: >lme.fnl <- lme(Max ~ S + Tr + Yr + Tr:Yr, random = ~1 |TID) > anova(lme.fnl) numDF denDF F-value p-value (Intercept) 1 168 19255.389 <.0001 S 1 168 5.912 0.0161 Tr

On 5/2/07, r-help-request@stat.math.ethz.ch < r-help-request@stat.math.ethz.ch> wrote: > > Send R-help mailing list submissions to > r-help@stat.math.ethz.ch > > To subscribe or unsubscribe via the World Wide Web, visit > https://stat.ethz.ch/mailman/listinfo/r-help > or, via email, send a message with subject or body 'help' to >

Hello, I've hit an assertion in SelectionDAG where we try to merge 2 loads that have the same operands but their MMO flags differ. One is dereferenceable and one is not. I'm not sure what the underlying issue here is: 1) MDSDNode with the same operands should have the same flags set on their respective MMO. The fact the flags differ when the opcode,types,operands and address-space are

> library(contrast) > contrast function (fit, ...) UseMethod("contrast") <environment: namespace:contrast> I guess the above function is S3. Could somebody let me know how to show the function body in an R session?

WinRAR (ver 3.x) cannot create russian filenames on Samba shares - it got error: cannot create ????.rar Access is denied. But it can successfully create filename, contains only english characters. https://bugzilla.samba.org/show_bug.cgi?id=1407 Anybody has the same problem? Thanks a lot!

We run ssh from a program and needed to add port-forwards dynamically. The ~C method turns out to be very cumbersome to use since it reads from /dev/tty. But then I came to think of the master/slave functionality (which we already used) which seemed a perfect place for this functionality. Unfortunately it turned out not to be possible to set up new port forwards in a slave. So I patched openssh

Hi All I downloaded the binary package of Samba 2.2.2 on Friday from one of the Samba mirror sites, I think Belgium, and installed it on a Sun E450 running Solaris 2.6. Today everything has fallen flat on its face. Unfortunately I am on holiday this week so not able to deal with the problem directly, but via telephone calls. Apparently what is happening is that smbd is gobbling up all the

Good Morning. Below I like statement like j<-grep(".r\\b",colnames(mydata),value=TRUE); j with the \\b option which I read long time ago which Ive found useful. Are there more or these options, other than ? grep? Thanks. dstat is just my own descriptive routine. > x ?[1] "age"????????? "sleep"??????? "primary"????? "middle" ?[5]

Hello. Hal, the problem I have is that it doesn't advance at the next available instruction - it always gets the same store. This might be because I did not specify in a file like [Target]Schedule.td the functional units, processor and instruction itineraries. Regarding the Stalls argument to my method [Target]DispatchGroupSBHazardRecognizer::getHazardType() I always get the

Dear R users I have a big matrix like 6021 1188 790 290 1174 1015 1990 6613 6288 100714 6021 1 0.658 0.688 0.474 0.262 0.163 0.137 0.32 0.252 0.206 1188 0.658 1 0.917 0.245 0.331 0.122 0.148 0.194 0.168 0.171 790 0.688 0.917 1 0.243 0.31 0.122 0.15 0.19 0.171 0.174 290 0.474

This command cdmoutcome<- glm(log(value)~factor(year) > +log(gdppcpppconst)+log(gdppcpppconstAII) > +log(co2eemisspc)+log(co2eemisspcAII) > +log(dist) > +fdiboth > +odapartnertohost > +corrupt > +log(infraindex) > +litrate > +africa >

?s 02:10 de 02/08/2024, Steven Yen escreveu: > Good Morning. Below I like statement like > > j<-grep(".r\\b",colnames(mydata),value=TRUE); j > > with the \\b option which I read long time ago which Ive found useful. > > Are there more or these options, other than ? grep? Thanks. > > dstat is just my own descriptive routine. > > > x > ?[1]

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Dear all, I am so ashamed to pollute the list with a trivial question, but it is a long time I have not used R, and I need a result in the next one or two hour... I have a table which I have loaded with read.table, and I want to make the mean of its columns. > slides <- read.table("slides.txt") > slides [1:5,] V1 V2 V3 V4 V5 V6 V7 V8 1

Hi all, I am dealing with a big data frame. When printing something like > allData[[3]] 1 625.364 38.223 21.014 0.216 1.241411 V 1050o 58.38065 -0.06178768 2 383.709 55.811 21.435 0.296 1.241411 V 1050o 58.38308 -0.03328282 3 434.669 58.597 21.207 0.233 1.241411 V 1050o 58.38334 -0.03930350 4 687.306 69.418 20.873 0.171 1.241411 V 1050o 58.38425 -0.06914694 5 759.522

Hi all, First I dont have much experience with R so be gentle. OK, I am dealing with a dataset (~ tens of thousand lines, each line ~ 10 columns of data). I have to create some subset of this data based on some certain conditions (for example, same first column with another dataset etc...). Here is how I did it: # import data dat <- read.table( "test.txt", header=TRUE,

... and the mailing list is picky about attachments... whatever you attached did not conform to the stringent requirements mentioned in the Posting Guide. Pasting the code right into the email is usually safest, though you DO have to post using plain text (as the Posting Guide indicates) or your code may get mangled by the automatic html format removal. On May 15, 2018 7:04:31 AM PDT, Bert Gunter

Hello, I have been getting the following intermittent error from kmeans: >str(cavint.p.r) num [1:1967, 1:13] 0.691 0.123 0.388 0.268 0.485 ... - attr(*, "dimnames")=List of 2 ..$ : chr [1:1967] "6" "49" "87" "102" ... ..$ : chr [1:13] "HYD" "NEG" "POS" "OXY" ... > set.seed(34) >

Unless there is good reason not to, always cc the list -- there are lots of smarter folks than I on it who can help. I may or may not have time to look at this. Hopefully someone else will. -- Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip

Dear all, I have an annual time-series of population numbers and I would like to estimate the auto-correlation. Can I use acf() function and judge whether auto-correlation is significant by the plots? The acf array, eg: Autocorrelations of series 'x$log.s.r', by lag 0 1 2 3 4 5 6 7 8 9 10 11 12 1.000 0.031 -0.171