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Hello, I have a general question about combining imputations as well as a question specific to the rms and Hmisc packages. The situation is multiple regression on a data set where multiple imputation has been used to give M imputed data sets. I know how to get the combined estimate of the covariance matrix of the estimated coefficients (average the M covariance matrices from the individual

Dear LLVMers, I am trying to fold memory operands in the way that is done in RegAllocLocal.cpp, or in LiveIntervalAnalysis.cpp, but I am getting errors that I don't know how to fix. Could someone tell me which steps should I take in order to correctly fold memory operands? The code that I am using is: const TargetMachine & target_machine = this->machine_function->getTarget();

On Aug 13, 2006, at 11:16 PM, Fernando Magno Quintao Pereira wrote: > > Dear LLVMers, > > I am trying to fold memory operands in the way that is done in > RegAllocLocal.cpp, or in LiveIntervalAnalysis.cpp, but I am getting > errors > that > I don't know how to fix. Could someone tell me which steps should I > take > in order > to correctly fold memory

> Hi Fernando, > > It's hard to say exactly what's happening because I don't know your > code (though, from the stack trace, it seems like there's some sort > of memory debacle), but looking at the comment in the > LiveVariableAnalysis.cpp file where it's folding memory operands, it > might explain somethings better: > > // Folding the

Hi! Does anyone know how to do the test for goodness of fit of a logistic model (in rms package) after running fit.mult.impute? I am using the rms and Hmisc packages to do a multiple imputation followed by a logistic regression model using lrm. Everything works fine until I try to run the test for goodness of fit: residuals(type=c("gof")) One needs to specify y=T and x=T in the fit. But

On Mon, 14 Aug 2006, Fernando Magno Quintao Pereira wrote: > I reload spilled code. If I am doing something evidently wrong, I would > appreciate if someone tells me. With the comment on vrm->virtFolded, I am > passing all the tests that I have. I haven't had a chance to look at the code you have below, but I would guess that you are leaving a dangling pointer in some map

Hello, I have confirmed that the recently-reported vulnerability in Elm is also present in Elm-ME+ and thus also in Debian GNU/Linux version 1.2, prerelease version 1.3, and development tree "unstable". Below is a short diff to correct the problem. Debian GNU/Linux 1.2.x uses stock Elm 2.4pl25. Users of that version of Elm should upgrade to Elm-ME+ as detailed below. Debian 1.3

Hello R-help, Thanks for everyone's very helpful suggestions so far. I am now trying to use aregImpute for my missing data imputation. Here are the code and error messages. Any suggestions would be very much appreciated. Sincerely, Anders Corr ######################################## #Question for R-Help on aregImpute ######################################## #DOWNLOAD DATA (61Kb)

Dear LLVMers, I need help with one error in my register allocator. I am getting errors when folding instructions for the x86 (it does not happen when I use the PowerPC as target). The problem is that, when I execute something like: mi = mbb->insert(mbb->erase(mi), fmi), where mbb is a MachineBasicBlock, valgrind gives this error message: Address 0x42C62B0 is 24 bytes inside a block

Hi, I have an account server with many users. It uses pam_limits module to limit memory usage etc. The problem is that sometimes SSH rejects connection after the password is entered. In syslog it prints something like "fork: Resource temporary unavailable". After killing some root processes it works perfectly. Perhaps the daemon first sets process limits and then switches to

Hello, I am using R.12.2.0. I am trying to generate bootstrap confidence intervals using bootcov from the rms package. I am able to impute the missing data using aregImpute and to perform a linear regression on the imputed datasets using fit.mult.impute, but I am unable to use bootcov to generate the confidence intervals for the R-squared. Here is a small example that should duplicate the

Hi, I am trying to aggregate the sum of my test data.frame as follow: testDF <- data.frame(v1 = c("a", "a", "a", "a", "a", "b", "b", "b", "b", "b", "c", "c", "c", "c", "c", "d", "d", "d", "d",

I recently started trying to use rspec-puppet and puppetlabs-rspec-helper. When I ran ''rspec-puppet-init'' in one o fmy modules, it created a series of symlinks. Now, when I run puppet doc (via a rake task supplied by The Foreman, but also when I call it directly) I get the following error: Could not generate documentation: Definition ''mongodb::addmongouser'' is already defined at /etc/puppet/...

Hi folks, I have recently installed rsync.2.6.9. on CentOS4.x boxes. That was my first backup yesterday. But I notice that some hidden (or dot files) are not copied to the other host on the network. And group and ownership of the files are changed to ?nobody? while files and folders permission are copied properly. So what am mission here can anybody shed light please? Here is the result;

Hi, I'm testing/debuging the migration from mbox to maildir in a mailserver running Dovecot 1.0alpha5. I migrated all 472715 emails(in a test server) and later noted that dovecot could not get the same flags/status of the emails as in the mbox. I was using perfect_maildir.pl and I think its not dovecot fault. Seems to me that perfect_maildir.pl convert the emails in a way that dovecot could

...t establish the connections. *Debug logs:* ---------------------------------------------------- Dec 5 14:32:07 mktst4 dovecot: auth: Debug: auth client connected (pid=16554) Dec 5 14:32:22 mktst4 dovecot: auth: Debug: client in: AUTH#0111#011OAUTHBEARER#011service=imap#011secured#011session=QPwA/fmY+tqCx5Tr#011lip=130.199.148.187#011rip=10.0.2.1#011lport=993#011rport=56058#011resp=bixhPW1penVraQFob3N0PW1rdHN0NC5zZGNjLmJubC5nb3YBcG9ydD05OTMBYXV0aD1CZWFyZXIgZXlKaGJHY2lPaUpTVXpJMU5pSXNJblI1Y0NJZ09pQWlTbGRVSWl3aWEybGtJaUE2SUNKcmRHeE5TSFZtYkc1NFZUUmlSR1pLTm5kSGRteFBNVVYxWWxWd2FreEZVVmhIY25GTU5UYzNh...

Dear R users, Suppose I have the following data.frame: myID myType myNum1 myNum2 myNum3 a Single 10 11 12 b Single 15 25 35 c Double 22 33 44 d Double 4 6 8 and I want to have new records: myID myType myNum1 myNum2 myNum3 e Single 12.5 18

I am doing multiple imputation with Hmisc, and can't figure out how to replace the NA values with the imputed values. Here's a general ourline of the process: > set.seed(23) > library("mice") > library("Hmisc") > library("Design") > d <- read.table("DailyDataRaw_01.txt",header=T) > length(d);length(d[,1]) [1] 43 [1] 2666

I think I understood the problem you're trying to solve. I didn't, however, understand the problems you are having (maybe you're not running mem2reg?). I do have a little piece of code that I think does (more or less) what you want. Take a look at it, try understanding it, and see if it helps you out. You might have to change it a bit since you're replacing uses after an

...ctions. > > Debug logs: > ---------------------------------------------------- > Dec 5 14:32:07 mktst4 dovecot: auth: Debug: auth client connected (pid=16554) > Dec 5 14:32:22 mktst4 dovecot: auth: Debug: client in: AUTH#0111#011OAUTHBEARER#011service=imap#011secured#011session=QPwA/fmY+tqCx5Tr#011lip=130.199.148.187#011rip=10.0.2.1#011lport=993#011rport=56058#011resp=bixhPW1penVraQFob3N0PW1rdHN0NC5zZGNjLmJubC5nb3YBcG9ydD05OTMBYXV0aD1CZWFyZXIgZXlKaGJHY2lPaUpTVXpJMU5pSXNJblI1Y0NJZ09pQWlTbGRVSWl3aWEybGtJaUE2SUNKcmRHeE5TSFZtYkc1NFZUUmlSR1pLTm5kSGRteFBNVVYxWWxWd2FreEZVVmhIY25GTU5UYzNh...