similar to: Error message in lmer

On Thursday 04 October 2007 04:27:47 you wrote: > Sir, you need to provide more information. What kind of errors? What > is not working? What exactly are you trying to do? What compiler are > you using? H IV0, we are using a lot of different cross-compiler (mainly based on GCC 3.4.x) When I tried to cross-compile FLAC for non-i386 platforms (such as ARM), I use use

Hi list ... I just observed a stange segfault: It seems tinc doesn't like my surname. # tincd -n Sattler -K Segmentation fault I tried several other netnames, there is no problem. The segfault only hap- pens with "Sattler" (capital "S"). I'm using tinc-1.0.22-r2 from Gentoo. Thomas

I have two Windows 2003 Standard Edition Server with 2x 3,0 GHz P4 and 4 GB RAM. On each server rsync runs as cygwin daemon (rsync version 2.6.6; protocol version 29). The two servers are connected through a 2 MBit VPN link. When I sync a single large file or a whole directory, rsync only uses 50% of the available bandwidth. When I do the same between windows and linux server, rsync takes the

Due to limitations of equipment, I have need of using the isolinux boot loader with .iso files generated by roxio. After trying (and of course failing) with an off the shelf version of isolinux, I grabbed the source for isolinux (syslinux 2.11 package) and started looking. It took a few hours to orient myself, but I ended up doing the modification below to isolinux.asm. I then had to write

Ilia Mirkin <imirkin at alum.mit.edu> writes: > Fixes assertions when trying to attach textures to fbs with formats not > supported by the render engines. > > See https://bugs.freedesktop.org/show_bug.cgi?id=73459 > > Signed-off-by: Ilia Mirkin <imirkin at alum.mit.edu> > --- Hi Ilia, > > In a perfect world I'd have separate callbacks for depth and

Hello, I have a set of data with two columns: "Target" and "Actual". A http://n4.nabble.com/file/n1584647/Sample_table.txt Sample_table.txt is attached but the data looks like this: Actual Target -0.125 0.016124906 0.135 0.120799865 ... ... ... ... I want to be able to break the data into tables based on quantiles in the "Target" column. I can see (using

I am trying to run a confirmatory factor analysis using the SEM package. My data are ordinal. I have read http://socserv.mcmaster.ca/jfox/Misc/sem/SEM-paper.pdf. When I apply the hetcor function, I receive the following error: Error in checkmvArgs(lower = lower, upper = upper, mean = mean, corr = corr, : at least one element of 'lower' is larger than 'upper' Example:

Hello Everyone, My name is Thomas and I have been using R for one week. I recently found your site and have been able to search the archives of posts. This has given me some great information that has allowed me to craft an initial design to an inquiry I would like to make into the breakdown of McNemar's test. I have read an intro to R manual and the posting guides and hope I am not violating

Dear r user, please find my attached sample of the dataset i? am using to create a crosstable and eventually plot a histogram from the output. I am using? the cut2 function to create bins, about 7 of them using the code after reading the data: cluster <- cut2(cross_val$value, g=7) I get the warning: Warning message: In min(xx[xx > upper]) : no non-missing arguments to min; returning Inf

Fixes assertions when trying to attach textures to fbs with formats not supported by the render engines. See https://bugs.freedesktop.org/show_bug.cgi?id=73459 Signed-off-by: Ilia Mirkin <imirkin at alum.mit.edu> --- In a perfect world I'd have separate callbacks for depth and color, but given the list of supported values, I don't think this matters. Also I used

Hello, I'm using the Hmisc cut2 function to bin a set of data. It produces bins that I like with results like this: [96,270]:171 [69, 96): 54 [49, 69): 40 [35, 49): 28 [28, 35): 14 [24, 28): 8 (Other) : 48 I would like to take a second set of data, and assign it to bins based on factors defined by my call to cut 2. Does anyone know how I can do this? Thank you, -S -- View this message

Say, I just picked this up on my messages! There are a whole host of these requests! Anyone know whow there people are? Is there a way to report them? Any suggestions as to how to block them? [Aug 23 10:34:16] NOTICE[1010] chan_sip.c: Registration from '"912" <sip:1 at 41.1.1.1>' failed for '184.106.217.112' - Wrong password [Aug 23 10:34:16] NOTICE[1010]

To R users, I am trying to use cut2 function from the 'Hmisc' library. However, when I try and run the function on the following variable, I get an error message (displayed below). I suspect it is because of the NA but I have no idea how to address the error. Many thanks to any insights. structure(list(var1 = c(97, 97, 98, 98, 97, 99, 97, 98, 99, 98, 99, 98, 98, 97, 97, 98, 99, 98,

Hi, I've been running some simulations for a while and the performance of R has been great. However, I've recently changed the code to perform a sort of chi-square goodness-of-fit test. To get the observed values for each cell I've been using table() - specifically I've been using cut2 from Hmisc to divide up the range into a specified number of cells and then using

Dear R Users, I want to fit GLMM with lmer with binomial data and a one-way random effects model with an overall mean and random effects. From R help, Laplace is slower than PQL, but more accurate. When I fit my model with Laplace method with control = list (usePQL = FALSE)), for most data sets it works well, but for some I get an error message (Error in if (any(sd < 0))

R Users, Emine Bayman sent this out earlier and we do not think it went through. Appologies if it did. We want to fit GLMM with lmer with binomial data and a one-way random effects model (overall mean is a fixed effect and there are random effects for each binomial). We are using the Laplace method. We are simulating multiple data sets and use the Laplace method with control = list

Greetings R users, My goal is to generate quartile groups of each variable in my data set. I would like each experiment to have its designated group added as a subsequent column. I can accomplish this individually with the following code: brks <- with(data_variables, cut2(var2, g=4)) #I don't want the actual numbers, I need a numbered group data$test1=factor(brks,

Hello R-users, I have a data frame with a factor of ages in 5 year increments, and various count data for each age group. I only have this summary information in R at the moment. I want to create a new factor that aggregates the age factors if the existing factors have insufficient counts. Then I can use aggregate to build a new data set. I figured out I can get the cut values I want using cut2

Hello, I am trying to do contrasts after applying a binomial mixed effect model with the function lmer. I have to extract the fix effect values, but as I write fixef(model), I get this error message: Error in UseMethod("fixef") : no method for 'fixef' with objects of class "mer" Has anybody some ideas why? And how can I then post-hoc testing my data if I cannot do

I am having a problem extracting from "mer" objects.    I have constructed my problem using existing datasets.   Using the following commands:   require(lme4) fm1 <- lmer(Yield ~ 1 + (1 | Batch), Dyestuff) fixef(fm1) I get the following error message: "Error in UseMethod("fixef") : no applicable method for "fixef""   I know that "fixef" is in