similar to: Must be a better way to collate sequenced data

Hello, I have logging information for multiple machines, which I am trying to summarize and graph. So far, I process each host individually, but I would like to summarize the user count across multiple hosts. I want to answer the question "how many unique users logged in on a certain day across a group of machines"? I'm not quite sure how to scale the data frame and analysis to

Hi, There is an opportunity in instCombine for following instruction pattern: %mul = mul nsw i32 %b, %a %cmp = icmp sgt i32 %mul, -1 %sub = sub i32 0, %a %mul2 = mul nsw i32 %sub, %b %cond = select i1 %cmp, i32 %mul, i32 %mul2 Source code for above pattern: return (a*b) >=0 ? (a*b) : -a*b; Currently, llvm(-O3) can not recognize this as abs(a*b). I initially think we could do this in

Hi Roman, Thanks for your good idea. I think it can solve the abs issue very well. I can continue with my work now^-^. But if it is not abs and there is no select, %res = OP i32 %b, %a %sub = sub i32 0, %b %res2 = OP i32 %sub, %a theoretically, we can still do the following transform for the above pattern: %res2 = OP i32 %sub, %a ==> %res2 = sub i32 0, %res Not sure whether we can do it

When attempting to install the ?colorspace? package on RedHat Linux I get the following error. Any help would be appreciated. Rob Rob Kabacoff, Ph.D. Professor, Quantitative Analysis Center Wesleyan University > install.packages("colorspace") Installing package into ?/home/rkabacoff/R/x86_64-redhat-linux-gnu-library/3.3? (as ?lib? is unspecified) trying URL

Hi all, I'm trying to build a package on Windows 7 (64 bit) and although R cmd build worked fine and I got pkg.tar.gz with no errors, but when I tried doing R CMD check everything turns out ok except for the warning: "checking whether package 'pkg' can be installed ... ERROR. Installation failed." It then refers me to the error file "00install.out" which reads as

Dear R Users, I am attempting to write a new netCDF file (using the ncdf) package, using 120 grids I've created and which are held in R's memory. I am reaching the point where I try to put the data into the newly created file, but receive the following error: > put.var.ncdf(evap_file, evap_dims, unlist(noquote(file_list))) Error in put.var.ncdf(evap_file, evap_dims,

Hello! I'm looking for an easy way to filter data frames. Some rows in my data frame needs to be left out, for instance, rows with invalid data. Right now, if I want to pair two columns of this data frame, I have to do this: > pairs(as.data.frame(list(tstart=df$tstart[valid],tend=df$tend.sdr[valid]))) or this: >

Hi everyone, I was trying to mode the following exercise using R. The question: Set up a one pool model using numericintegration. The model will run from time 1 to time 30 using a time step of 1.The pool (A) will be fed by flux "inA" at a rate of 5 units per hour anddrained by flux "outA" at a rate of 20% per hour. At time 0, A has 5units. At time 30, what is the pool size of

in wine/dlls/qcap/v4l.c: ReadThread() --> OutputPin_GetDeliveryBuffer((OutputPin *)capBox->pOut, &pSample, NULL, NULL, 0); --> IMediaSample_SetTime(*ppSample, tStart, tStop); in wine/dlls/quartz/memallocator.c: StdMediaSample2_GetTime(IMediaSample2 * iface, REFERENCE_TIME * pStart, REFERENCE_TIME * pEnd) --> if tstart/stop is NULL, leave pStart/pEnd not setted. in

  Hi there,   I am beginner in R and I have some basic question. Suppose I run a common procedure such as a t test or cox model like below:   out<-coxph( Surv(tstart,tstop, death1) ~ x1+x1:log(tstop+1) , test1,method=c("breslow"))    Which yields the following result:   Call: coxph(formula = Surv(tstart, tstop, death1) ~ x1 + x1:log(tstop +     1), data = test1, method =

Dear All, I got a warning message "X matrix deemed to be singular" in Cox model with a time dependent coefficient. In my analysis, the variable "SEX" is a categorical variable which violate the PH assumption in Cox. I first used the survSplit() function to break the data set into different time intervals, and then fit the model. The procedures can be described as follows:

tftp-hpa-0.35 and tftp-hpa-0.36 show wrong transmission time. >tftp -V tftp-hpa 0.36, with readline >tftp -m octet -v localhost -c get aaa /tmp/aaa Connected to localhost.localdomain (127.0.0.1), port 69 getting from localhost.localdomain:aaa to /tmp/aaa [octet] Received 33554432 bytes in -3.3 seconds [-81407477 bit/s] ^^^^ ^^^^^^^^^ By the way, why

Hi, I want to read a text file into R with .Call(). So I define some NEW_CHARACTER() to store the chracters read and use SET_STRING_ELT to fill the elements. e.g. PROTECT(qNames = NEW_CHARACTER(10000)); char *foo; // This foo holds the string I want. while(foo = readLine(FN)){ SET_STRING_ELT(qNames, i, mkChar(foo))); } In this way, I can get the desired character from qNames. The only problem

Hi there, I have a rather large data set and perform the following cox model: test1 <- list(tstart,tstop,death1,chemo1,radio1,horm1) out1<-coxph( Surv(tstart,tstop, death1) ~ chemo1+chemo1:log(tstop+1)+horm1+horm1:log(tstop+1)+age1+grade1+grade1:log(tstop+1)+positive1+positive1:log(tstop+1)+size1+size1:log(tstop+1), test1) out1 Up to here everything works fine (with each covariate

Hello, I have a cohort with approx 1,200 patients at the ages of 30-65 that had their first myocardial infarction during 1992: · They were in a follow up until 2005. · About 400 of them died during this period of time (right censored) · Each one of them had up to 4 mi recurrent events. I am using the semi-parametric model in order to assess the relationship of

Hi all, Sometimes the process cdrommon use 99,8% of CPU and the result is that all vms becames very slow. I killed the process and now everything is fine but I can''t live migrate VMS. I found this problem also in this citrix thread: http://forums.citrix.com/thread.jspa?messageID=1475962 <http://forums.citrix.com/thread.jspa?messageID=1475962&tstart=0#1475962>

Hi all, Issue: I merged two zoo objects (a regular and an irregular). After the merge I used the function 'na.approx' to have also values in the resolution of the regular time series. Problem: After approximation some rows at the beginning or at the end of the zoo objects disappear due to the 'na.approx' algorithm. Now I just want to have all the rows of the regular time series

With the upgrade to 1.0.1, I am seeing some errors/warnings dovecot: IMAP(jhorner at arinbe.com): utime(/home/arinbe/Maildir/.info/tmp) failed: Operation not permitted: 1 Time(s) dovecot: IMAP(jhorner at arinbe.com): utime(/home/arinbe/Maildir/.resumes.vabch/tmp) failed: Operation not permitted: 1 Time(s) Different directories on different days. Different users on different days. Always /tmp

Hi , I have a data set with recurrence time (up to four) of myocardial infarction (MI). Part of the file is showing below: Num1 Trt Sex Time T1 T2 T3 T4 1011 1 1 9 1211 0 1 59 3020 1 2 14 3 1245 0 1 18 12 16 3069 1 2 26 6 12 13 2051 0 1 53 3 15 46 51 The data consist of the following eight variables: Num1 , patient number Trt, treatment group (1=placebo and 2=drug) Sex,

Hi, when i run the following code i get this massege: "The instruction at 0x######## reference memory at 0x#######, the memory cannot be "read". and then i have to close R. what is the problem and how can i solve it? thanks in advance Avi my code # frailtypack library(frailtypack) cgd.ag <- read.csv("C:/rfiles/RE/cgd.csv") cgd.nfm <-frailtyPenal(Surv(TStart,