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...oop=0x7fc4a80fc750) at ioloop.c:412 #29 0x00007fc4a668e9e3 in master_service_run (service=0x7fc4a80fc5e0, callback=callback at entry=0x7fc4a6e9ed70 <client_connected>) at master-service.c:571 #30 0x00007fc4a6e89324 in main (argc=1, argv=0x7fc4a80fc390) at main.c:400 Thank you. Best regards, Hongying Liu

Sorry for late response. This issue occurs ran randomly. So I don't know how to run valgrind command. 2017-04-10 17:14 GMT+08:00 Hongying Liu <hongyliu at redhat.com>: > Sorry for late response. > > This issue occurs ran randomly. So I don't know how to run valgrind > command. > > I upload the coredump. > > The version of dovecot is dovecot-2.2.10-7.el7.x86_64. > > 2017-04-07 14:07 GMT+08:00 A...

Please keep responses on list. Can you please run valgrind on this, as it appears to be some sort of memory corruption issue. Aki > On April 7, 2017 at 5:37 AM Hongying Liu <hongyliu at redhat.com> wrote: > > > Thanks for your response. > > (gdb) p cache > $1 = (struct mail_cache *) 0x7fc4a811a320 > (gdb) p cache->hdr > $2 = (const struct mail_cache_header *) 0x7fc4a6ddb000 > (gdb) p cache->hdr->file_seq > Cannot acc...

I am reading dates in Excel2007 into R. Here are the functions I used: library(RODBC) channel<-odbcConnectExcel2007("myfile.xlsx") tmp<-sqlFetch(channel,"1",as.is=T) The dates in myfile.xlsx are all in this format: mm/dd/yyyy. But when I read it to R, some columns look like "yyyy-mm-dd 00:00:00", some columns look like "yyyy-mm-dd", and some

Dear all, I always encounter a crash when running hazard.ratio.plot from rms package with my predictor as a factor. It works fine when the predictor is a continous score. Anyone encounters this too? Is this a bug or something? Thanks, Lilian [[alternative HTML version deleted]]

Dear R users, I'm wondering how I can generate an arbitrary number of loops in R. For instance, I can generate two "for" loops to get ICC among any two-way combination among 10 variables. Here is the code n<-10 for (i in 1:(n-1)) { for (j in (i+1):n) { icc(cbind(DATA[,i],DATA[,j])) } } If I need three-way combination, then a code with three "for" loops will be:

Dear R users, I have a microRNA (similar to microarray) data set with gene expressions and group variables. I'd like to perform (class) prediction analysis to see which genes or gene sets predict the group variable well. I'm at the beginner level. Is there any free software in R or in point/click format that is commonly used and highly recommended? I googled this topic and found

Dear R users, I'm wondering how I can generate an arbitrary number of loops in R. For instance, I can generate two "for" loops to get ICC among any two-way combination among 10 variables. Here is the code n<-10 for (i in 1:(n-1)) { for (j in (i+1):n) { icc(cbind(DATA[,i],DATA[,j])) } } If I need three-way combination, then a code with three "for" loops will be: