similar to: Unable to install packages in R: Error in if (any(diff)) { : missing .....

Hi, I am trying to minimize a rather complex function of 5 parameters with gafit and nlm. Besides some problems with both optimization algorithms (with respect to consistantly generating similar results), I tried to run this optimization about a hundred times for yet two other parameters. Unfortunately, as the log below shows, during that batch process R starts to eat up all my RAM,

Hai, Not really a question for samba technical, but i can share this. No need for setting things on samba, that wont help a lot. Below is my setup and its just how you configure your pc's. This and almost all other "malware" is EASY to block, but it wil have impact on how your work. First, start with NEVER work/run as user with administrator rights. If one needs it, then not

Hi, I have a problem with a large data set wrapped in a reference class. I do that to access the data by reference from within various functions in a script. # The class definition: setRefClass("data", fields = list(h5_df = "list", training_data = "array",

Dear Juan, I don't see what is the problem from your report. Please try to create a minimal but complete reproducible example that does not use the renv package. Perhaps you could use the R debugger (e.g. via options(error=recover)) to find out what is the argument that file.exists() has been called with. And then you could try just to call file.exists() directly with that argument to

Hi, I'm using R to collect data for a number of exchanges through a socket connection and constantly running into memory problems even though task I believe is not that memory consuming. I guess there is a miscommunication between R and WinXP about freeing up memory. So this is the code: for (x in 1:length(exchanges.to.get)) { tickers<-sqlQuery(channel,paste("SELECT Symbol

Hello, I can't think of an explanation for this memory allocation behaviour and was hoping someone on the list could help out. Setup: ------ R version 2.8.1, 32-bit Ubuntu 9.04 Linux, Core 2 Duo with 3GB ram Description: ------------ Inside a for loop, I am passing a list to a function. The function accesses various members of the list. I understand that in this situation, the entire

Hi Yihui, list.files() returns file names converted to native encoding by Windows, so one needs to use only characters representable in current native encoding for file names. If one wants to be safe, it makes sense to be much stricter than that (only ASCII, and only a subset of it, there is a number of recommendations that can be found online). Using more than that is asking for trouble.

Dear R Developers, I am having an issue with the renv package and R 4.0.1, which I suspect is related to base R and not the renv package itself, as with R 3.6.3 such an "error" does not appear. The error is raised by a file.exists() path, and path "C:\Users\J-tel\Documents", which in R 3.6.3 is read correctly, but in R 4.0.1 fails (Probably because of the "-"

Hi Tomas, I received a report about R 4.0.0 in the knitr package (https://github.com/yihui/knitr/issues/1840), and I think it is related to the issue here. I created a minimal reproducible example below: owd = setwd(tempdir()) z = 'K\u00e4sch.txt' file.create(z) list.files() file.exists(list.files()) setwd(owd) Output: > owd = setwd(tempdir()) > z = 'K\u00e4sch.txt' >

Hi Tomas, Sorry for the false alarm! I did some further testing, and you were right. There was no regression. I suspected it was a regression because the user who reported the issue said his code worked in R 3.6 but not 4.0. I should have tested it more carefully by myself. After I tested it again with the German locale and Chinese locale, respectively, I found that the code worked for both

Hello, I can build packages with R-2.8.0 but I cannot run the code: R CMD Rd2dvi --pdf --no-clean <pkg_name> =20 Error message: .: Can't open C:/Apps/R/R280/share/sh/dcf.sh: No such file or directory The system cannot find the path specified. =20 The above code works fine in R-2.7.2. =20 Comparing the bash script Rd2dvi.sh between R-2.7.2 and R-2.8.0 makes me think that the script is

Hello, I am trying to do an ANOVA on a microarray data set consisting of 22690 elements. The ANOVA is fine, but when I try to put the data in a frame in order to exporting it, I get a stack overflow. I have found documentation on dynamic memory in R, but not on how to increase the stack size. The code I'm using is below. If anyone has any suggestions for a workaround here, I'd

Thanks Dirk! I wrongly thought the R-3.5.0 Binary was NOT default R for Ubuntu 18.04 as some of my R packages requires updated R version. Anyway, with your suggestion all went well like charm. Thank you very much! Back to the problem, actually I saw different versions of libicu* such as: /home/yifang/anaconda3/lib/libicudata.so.58

Dear all: I have a problem with calling R from Java, It was ok at the first time,but the error message "An unexpected exception has been detected in native code outside the VM. " will appear. What is the issue of "native code"? Could somebody help me ? Thanks, ken This is the log I obtained: executing: source('/export/home/users/ruser/java/Rmain.R') Loading

Hi, All I have a problem of R memory space. I am getting "Error: cannot allocate vector of size 198.4 Mb" ------------------------------ I've tried with: > memory.limit(size=2047); [1] 2047 > memory.size(max=TRUE); [1] 12.75 > library('RODBC'); > Channel<-odbcConnectAccess('c:/test.MDB'); # inputdata:15 cols, 2000000

Hi I have a large R progress that that is constently running into memory issues, I am trying to rewrite some of the code to make more efficeint However, one thing I have found is that the memory usage shown by gc() is very different from what i see from unix termilnal Garbage collection 2047 = 1398+243+406 (level 2) ... 12.4 Mbytes of cons cells used (3%) 998.6 Mbytes of vectors used (23%)

Hi, I am running R version rw2010 on a Windows 2000 desktop. I am invoking R from Java via the JGR JRI tools. My process consists of repeated calls to R in order to create linear models and process the resulting statistics. I find, however, that the process often dies due to memory allocation errors: lm command:

Hello, First of all I am new to the Puppet technology. I am trying to get my puppet agent (windows) to reach my puppet master (Linux) server. In this tutorial: http://docs.puppetlabs.com/learning/agent_master_basic.html It claims to test your puppet agent you need to use the ''puppet agent --test'' command. My result when I tried this is: C:\Program Files (x86)\Puppet

hi, I have been attempting to run this script and am getting some strange results. The script connects to a database and retrieves a series of tables, using sequential sql statements. I have tested all of the sql statements in the PostGreSQL terminal and they all return the desired results. I place each table into a list and run a FOR loop for 'i' in the list. The script generates

I have a data set of roughly 700MB which during processing grows up to 2G ( I'm using a 4G linux box). After the work is done I clean up (rm()) and the state is returned to 700MB. Yet I find I cannot run the same routine again as it claims to not be able to allocate memory even though gcinfo() claims there is 1.1G left. At the start of the second time ===============================