similar to: Rprof fails in combination with RMySQL

Hello everybody, I found that queries (send by "dbExecStatement" ) with more than 4000 characters length produces an error in ROracle (ver 0.3-3). Maybe there is a limitation of 4kB.... Is this a bug? If yes, is this problem solved in the latest version of ROracle (ver 0.5-0)? My system information: platform sparc-sun-solaris2.8 arch sparc os solaris2.8

Hello everybody, if I try to (r)bind a number of large dataframes I run out of memory because R wastes memory and seems to "forget" to release memory. For example I have 10 files. Each file contains a large dataframe "ds" (3500 cols by 800 rows) which needs ~20 MB RAM if it is loaded as the only object. Now I try to bind all data frames to a large one and need more than

Hello everybody, if I'm running a R-script on a command line R-session which uses the function "try" and I'd like to interrupt the execution of my R-script pressing "CTRL-C" than R ignores the first "CTRL-C" key stroke and after I pressed "CTRL-C" second time R by itself is interrupted and I fall back to the (UNIX-) command prompt. Without using

Hello everybody, if I'm using par(xpd=NA) gridlines will plotted outside the plotting region. This is "new" (and, in my opinion, unaesthetic) in version 1.4 - compared to version 1.3. Is this a bug or a feature? Example: ------------------ par(xpd=NA) plot(1:11) grid() ------------------ platform sparc-sun-solaris2.6 arch sparc os solaris2.6

Hello everybody, Could anybody give me a hint how I can use "layout" and "filled.contour" (or "image" plot with a color legend) together, please? What I want to do is something like the following example (Two or more plots with a legend for each at one page): data(volcano) layout(matrix(1:2, 1, 2, byrow = TRUE)) for (i in 1:2) { filled.contour(i*volcano, color =

Hello everybody, is there a possibility to install and use multiple versions of a R library at the same time? A few words regarding the background of this question: If I change functions of an already developed package, I have to verify complex functions in a lot of R applications. So it would be useful to use different versions of a function/library and switch to the newer function/library

Hello everybody, could anybody give me a hint, who I can use rbind on a list of data.frames, please? I have a list with a large number of data.frames of the same structure, like: LIST <- list(X1=data.frame(a=1,b=2), X2=data.frame(a=3,b=4), X3=data.frame(a=5,b=6), ...., XN=data.frame(a=i,b=k)) I would like to bind all data.frames very fast to a single data.frame, something like that: DF <-

Hi, Is it possible to add a subtitle that appears directly below the main title? I tried the "sub" parameter, but it adds sub-title to the bottom of the plot. Cheers, Kevin ------------------------------------------------------------------------------ Ko-Kang Kevin Wang Postgraduate PGDipSci Student Department of Statistics University of Auckland New Zealand Homepage:

Hello everybody, is there a way to get the file name of the source file from which I read and execute my R code? In other words: If I'm executing "source('myRfile.r')" I'd like to have a statement inside myRfile.r like "src.file<-$0" (in unix csh style) which assigns th variable src.file to 'myRfile.r' . Thanks in advance! Best regards, Lutz

Hello everybody, I have following string type and try to convert it to float: > a<-"20020104.123456" > str(as.numeric(a)) num 20020104 > str(as.real(a)) num 20020104 > str(as.double(a)) num 20020104 How can I get an float instead of an integer? How can I set the desired precision? Thanks in advance Lutz Thieme Lutz Thieme AMD Saxony Manfacturing GmbH Product

Hi All, Sorry to bother everyone again.Ofcourse Prof Ripley ,Yihui and Uwe had replied to my email.But this segmentation fault error was not solved.I agree with Prof Ripley,as he said my R and all other configurations,are very old.But what i don't understand is ,i was able to run analysis till few days before,and why suddenly this error. *The configuartions i use:---* *R-version * *>

Hi All, Can anyone help me please?I don't know much about segmentation faults.I understand what it is,but why my script's throwing the error i don't know. This is my main function:---- *main<-function()* *{* * dbName<-"xyz_database"* * hostName<-"xyz.com"* * con<-myDbconnect(dbName,hostName) * *

Rprof seems to ignore all time spent inside system() calls. E.g., this simple example actually takes about 10 seconds, but Rprof thinks the total time is only 0.12 seconds: > Rprof("sleep-system.out") ; system.time(system(command="sleep 10")) ; Rprof(NULL) user system elapsed 0.000 0.004 10.015 > summaryRprof("sleep-system.out")$by.total

Hello, Appending information to the profiler's output seems to generate problems. Here is a small example of code : <code r> require(boot) Rprof( memory.profiling = TRUE) Rprof(NULL) for(i in 1:2){ Rprof( memory.profiling = TRUE, append = TRUE) example(boot) Rprof(NULL) } </code> The problem is that the file Rprof.out contains more than once the header information: $ grep

This looks like a bug? Unable to use scan(pipe()) while profiling. I have no idea whether this version of R violates the "do not use `Rprof' in an executable built for profiling" warning in ?Rprof. Thanks -Don > version _ platform powerpc-apple-darwin1.4 arch powerpc os darwin1.4 system powerpc, darwin1.4 status Patched major 1 minor 3.1 year

I'm trying to use Rprof() to identify bottlenecks and speed up a particullary slow section of code which reads in a portion of a tif file and compares each of the values to values of predictors used for model fitting. I've written up an example that anyone can run. Generally temp would be a section of a tif read into a data.frame and used later for other processing. The first portion

I am using Rprof() to help find ways to improve performance. I found a function whose total seconds and self seconds were large. I replaced it with something else. The something else had a small number of total seconds and self seconds. But the total time did not decrease. I don't understand how that could be, and would appreciate any suggestions. Thanks -Don Details, unfortunately

I noticed this oddity about R profiling and setMethod. First, I "test out" Rprof. > require(methods) Loading required package: methods [1] TRUE > > Rprof("test.out") > data.frame("a") X.a. 1 a > Rprof(NULL) So far, so good. Next, I define myClass. > setClass("myClass", representation(mySlot = "numeric")) [1]

I find it difficult to find Rprof using the usual search tools... could I suggest that it be cross-referenced to profile Rprofile Profile to make this easier? url: www.econ.uiuc.edu/~roger/my.html Roger Koenker email rkoenker@uiuc.edu Department of Economics vox: 217-333-4558 University of Illinois fax: 217-244-6678 Champaign, IL 61820

Sorry, this might be a really basic question, but I'm trying to interpret the results from memory profiling, and I have a few questions (marked by *Q#*). From the summaryRprof() documentation, it seems that the four columns of statistics that are reported when setting memory.profiling=TRUE are - vector memory in small blocks on the R heap - vector memory in large blocks (from malloc) - memory