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..., like the x label, y label, and the title, it uses the native font. pdf seems use the above approach and is very fast, but I have to use pdf2ps to convert the pdf file to ps file. It is still slow. If you know other good converter of pdf file to ps file, i will also very appreciate it. Thanks, Yongchao x<-1:2000 y<-matrix(rnorm(2000*12),2000,12) for(i in 1:12){ y[,i]<-sort(y[,i]+i*0.5) } postscript("try.ps") matplot(x,y,type="l",lwd=5) dev.off()

...s I found through Google: http://stackoverflow.com/questions/14943447/llvm-line-number-of-an-instruction http://stackoverflow.com/questions/23089316/getmetadatadbg-returns-null-despite-producing-ir-with-clang-g-s-emit-llv but neither of them works. Does anyone have any idea about this? Thanks, Yongchao. -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm.org/pipermail/llvm-dev/attachments/20140424/4b396886/attachment.html>

Full_Name: Yongchao Ge Version: 1.8 OS: Windows XP profesional Submission from: (NULL) (146.203.2.152) The R installation is fine on Windows XP, but when I started to open the R program, then it pops out this message: "R for Windows GUI front-end has encountered a problem and needs to close. We are sorry for...

...and apply gc() function, the unclaimed memory can reach 150M bytes. I tried gc(reset=TRUE), and it doesn't seem to make difference. Can someone suggest what caused this problem and what the solution will be? When you reply the email, please cc to me as I am not on the help list. Thanks, Yongchao ------------------------------------------------ > dyn.load("crossprod2.so") > cp <- function(a, b) .Call("crossprod2", a, b) > gctorture() > a<-1:10000 > b<-1:1000 > gc() #i used (Mb) gc trigger (Mb) max used (Mb) Ncells 173527 4.7 4...

...and apply gc() function, the unclaimed memory can reach 150M bytes. I tried gc(reset=TRUE), and it doesn't seem to make difference. Can someone suggest what caused this problem and what the solution will be? When you reply the email, please cc to me as I am not on the help list. Thanks, Yongchao ------------------------------------------------ > dyn.load("crossprod2.so") > cp <- function(a, b) .Call("crossprod2", a, b) > gctorture() > a<-1:10000 > b<-1:1000 > gc() #i used (Mb) gc trigger (Mb) max used (Mb) Ncells 173527 4.7 4...

...have the same random seed? I searched the R help and google and I didn't find answers. The reason for to ask is that if both of the above answers are right, then I'd better off use the method 1, which is the fastest as I have to generate hundreds thousands of normal numbers. Thanks! Yongchao p.s. please cc to me as I am not on the online list, only on the daily digest list.

...meshed with R codes. If we can also profile the C functions called by the R codes, then it will much be productive to write useful C codes. Any suggestions how to use Rprof and gprof to help me to spot a C function which I can work on to speed up my program will be much appreciated. Thanks, Yongchao