similar to: CRAN task views work only once per session (PR#9330)

SUMMARY: I'm proposing that R assert that 'connection' options have not changed since first created such that R will produce the following error: > fh <- file("a.txt", open = "w+") > cat("hello\n", file = fh) > close(fh) > fh2 <- file("b.txt", open = "w+") > cat("world\n", file = fh2) >

I noticed the following file descriptor leak when I couldn't remove a package unless I shut down the R session that had loaded and used it. The function that triggered the problem printed the output of a call to parse(). Each time one prints a srcref a connection is opened and not closed. It looks like it happens in as.character.srcref's call to getSrcLines, which has some logic I

On Thu, Dec 14, 2017 at 7:56 PM, Gabriel Becker <gmbecker at ucdavis.edu> wrote: > Gabor, > > You can grab the connection and destroy it via getConnection and then a > standard close call. Yeah, that's often a possible workaround, but since this connection was opened by readLines() internally, I don't necessarily know which one it is. E.g. I might open multiple

Consider this code. This is R 3.4.2, but based on a quick look at the NEWS, this has not been fixed. tryCatch( readLines(tempfile(), warn = FALSE)[1], error = function(e) NA, warning = function(w) NA ) rm(list=ls(all.names = TRUE)) gc() showConnections(all = TRUE) If you run it, you'll get a connection you cannot close(), i.e. the last showConnections() call prints: ?

Dear all, I've noticed by trying to download gz files from here : https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM907811 At the bottom one can download GSM907811.CEL.gz . If I download this manually and try oligo::read.celfiles("GSM907811.CEL.gz") everything works fine. (oligo is a bioConductor package) However, if I download using download.file("

This may be more of an OS question ... I have this call r = get.hist.quote(symbol, start= format(start, "%Y-%m-%d"), end= format(end, "%Y-%m-%d")) which does a url request in a loop and my program runs out of file handlers after few hundred rotations. The error message is: 'Too many open files'. Other than increasing the file handlers assigned to my process, is there

> # creating a file > cat("sddfasdf", file="tempfile") > showConnections() class description mode text isopen can read can write > con <- file("tempfile", "r") > readLines(con) [1] "sddfasdf" Warning message: incomplete final line in: readLines(con, n, ok) > showConnections() class description mode text isopen

This is not a major issue, but is there any way to get the full directory name out when dir.create issues a warning? I am running R 2.8.0 patched on Windows Vista - full details below. With the following code: dir.create("test") obscure<-"test" dir.create(obscure) I get the warning message: In dir.create(obscure) : 't' already exists Session details: R

Hello, I'm having a problem in R. I'm getting an error message that reads, "Too many open files". I'm opening files and closing them (and unlinking them), but when I go through that process 509 times, the program halts and I get this error message: "cannot open the connection" with warning messages: "Too many open files". I've been working on

Hi all, Is there any chance that readRDS and saveRDS might one day become read.rds and write.rds? That would make them more consistent with the other reading and writing functions. Hadley -- Assistant Professor / Dobelman Family Junior Chair Department of Statistics / Rice University http://had.co.nz/

Hi, I am dealing with very large datasets and it takes a long time to save a workspace image. The options to save compressed data are: "gzip", "bzip2" or "xz", the default being gzip. I wonder if it's possible to include the pbzip2 (http://compression.ca/pbzip2/) algorithm as an option when saving. "PBZIP2 is a parallel implementation of the bzip2

I hardly know anything about the format used in (non-compressed) serialization/RDS, but hoping someone with more knowledge could give me some feedback; Consider two R processes running in parallel on the same unknown file system. Both of them write and read to the same RDS file foo.rds (without compression) at random times using saveRDS(object, file="foo.rds", compress=FALSE) and

Hi there, I faced a weird problem doing a seemingly simple task in R. Specifically, when trying for reading an RDS file from the working directory, the following error is appeared. Code: records <- readRDS("tweets.rds") Error: Error in readRDS("tweets.rds") : error reading from connection In addition: Warning message: In readRDS("tweets.rds") : invalid or

Dear all I was thinking about efficient reading data into R and tried several ways to test if load(file.Rdata) or readRDS(file.rds) is faster. The files file.Rdata and file.rds contain the same data, the first created with save(d, ' file.Rdata', compress=F) and the second with saveRDS(d, ' file.rds', compress=F). First I used the function microbenchmark() and was a astonished

The documentation for recordPlot says the following: > As of R 3.3.0, it is possible (again) to replay a plot from another R session using, for example, saveRDS and readRDS. However, I haven't been able to save and restore a plot displaylist and have it work within the same R session, using R 3.4.3 or 3.3.3. Here's an example: # Save displaylist for a simple plot

Thanks for tracking this down. Yeah, I should use suppressWarnings(), you are right. Although, readLines() might throw another warning, e.g. for incomplete last lines, and you don't necessarily want to suppress that. TBH I am not sure why that warning is given: ? con <- file(tempfile()) ? open(con) Error in open.connection(con) : cannot open the connection In addition: Warning message: In

Hello, I looked in the R-help but could not find an archive addressing the following. I would like to convert a character to numeric after reading a file with RDS extension. After using as.numeric, I checked if it is numeric. It was not converted. Please help. Here is my code >Report <- readRDS(file="RDS/Report.RDS") > Report[1:2,] dive_id date

Wouldn't the obvious problem be that your data file is corrupted or was never created using saveRDS in the first place? Can you show us a complete example of creating and attempting to read what was just created? On April 22, 2018 10:20:05 AM CDT, mohammad moradi <mri.moradi at gmail.com> wrote: >Hi there, > >I faced a weird problem doing a seemingly simple task in R.

I've tried to re-experiment the tutorial presented at http://www.rdatamining.com/docs/twitter-analysis-with-r and specifically aimed to use rds files (tweet records) at http://www.rdatamining.com/data/. On Sun, Apr 22, 2018 at 9:16 PM, Jeff Newmiller <jdnewmil at dcn.davis.ca.us> wrote: > Wouldn't the obvious problem be that your data file is corrupted or was > never created

Note that if you force a garbage collection each iteration the times are more stable. However, on the average it is faster to let the garbage collector decide when to leap into action. mb_gc <- microbenchmark::microbenchmark(gc(), { x <- as.list(sin(1:5e5)); x <- unlist(x) / cos(1:5e5) ; sum(x) }, times=1000, control=list(order="inorder")) with(mb_gc,