similar to: errors handling

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Hi, I'm trying to read data from a PDF file.Is it possible to do it with R? Thanks, Marco [[alternative HTML version deleted]]

Hi, I have a problem: I need to perform a very tough analysis, so I would like to buy a new computer with about 16 GB of RAM. Is it possible to use all this memory under Windows or have I to install other OS? Thanks, Marco

Hi,I want to replace some elements of a dataframe "a", using 2 index vectors ("x" and "y") and a vector of replacement ("z") of the same length of "x" and "y". I've tried a[cbind(x,y)]<-z, but it doesn't work.How can I do it in a simply way?Thanks,

Hi All, I met a problem using readLines function to return the data from Google maps. readLines(url(" http://ditu.google.cn/maps/geo?q=+qianshuichong,+guichi+anhui,+CN&output=csv&key=ABQIAAAAq8Fnd_oUka-7RdS6BrD7GBTqeABoQuNTXS36G_rkiwQnKRW6GBTkns8JpKz6y6dScgB8827dlddUlg"), n=1, warn=FALSE) [1] "200,4,30.6528380,117.4872250" The above code is ok because the

Colleagues, I have encountered a problem in version 2.9 of R, running in both Vista and OS X. My code is quite lengthy but the critical line is: if (file.exists(FILENAME)) readLines(FILENAME)) This triggers the error: Error in file(con, "r") : cannot open the connection Calls: readLines -> file Execution halted The file that it is reading is being created on the fly, then

Hi all, I want to modify a large number of text files (ca 4000) by replacing a value found on a particular line in them with a value from an R object. For a single file I would normally use: con<-file ("foo.txt", open="r+") content<-readLines(con) content[n]<-"test" writeLines(content,con) close(con) For repeating this for several files I can

Hi, I want to extract information from a number of text files in a folder. The files are named as : 82534.txt, 82555.txt, 8282787.txt etc. I give below a sample of the kind of the information in the text file : ######## #(a lot of preceding text) 2008-10-01????? 06:30:12??? ??? ??? ??? 2 of 3 page #(some lines of text - varies from file to file) sekvens??? 890 # lines of text sNo???? start???

I get unexpected behavior from "readLines()" and "scan()" depending on how the file is opened with "gzfile" or "unz". More specifically: > file <- gzfile("file.gz") > readLines(file,1) [1] "a\tb\tc" > readLines(file,1) [1] "a\tb\tc" > close(file) It seems that the stream is rewound between calls to readLines.

I noticed an issue where readChar does not return the correct value after a call to readline. It appears that readChar is not aware of the buffering, so it reads from the end of the buffer, rather than the current position in the file. This is a significant change of behavior from R-3.4.4. Below is a test case that I used to home in on the problem. --- p<-"test2.txt"

Hi, I have an application in perl that prints some output to either stderr or stdout. Here's an example: # tmp.pl print STDERR "starting iterator\n"; for(my $i = 0; $i < 1000000; $i++) { print $i . "\n"; } # tmp.R con <- pipe("perl tmp.pl") r <- readLines(con, n = -1) close(con) However, the second line stalls until the perl for-loop finishes.

Hello, I am using R version 1.8.1 on a linux machine (Suse 8.2.). I have problems to use readLines() with urls. This seems to be a problem with our proxy-server. Downloading files work with download.file() with wget but not without: > download.file(url = "http://cran.r-project.org/src/contrib/PACKAGES", destfile = "test.txt", method = "wget", cacheOK = FALSE)

I am using readLines to read a fairly large ASCII file. readLines reads a fixed number of lines, then other R code processes the data, then readLines reads the same number of lines again, then other R code processes the data, then .... Sort of like: conn<-file('filename','r') for (chunk in 1:100000) { Lines<-readLines(conn,n=25) # process "Lines" }

Tomas, Thank you for the explanation. I see in the documentation: "These functions are intended to be used with binary-mode connections." So I see how using it on a text connection is undefined, and not a bug. An error or warning when attempting to use a it on a text connection would be helpful considering how the behavior has changed in R-3.5. On Tue, May 29, 2018 at 3:09 AM, Tomas

The difference in the return value of close(pipeConnectionObject) seems to depend on whether the pipe connection was opened via the pipe() or open() functions (close() returns NULL) > con <- pipe("ls") > open(con, "r") > readLines(con, n=1) [1] "1032.R" > print(close(con)) NULL > con <- pipe("ls", "r")

Hi again, The unz connection is non-blocking by default. I checked do_unz which calls R_newunz which calls init_con and the only place in any of those functions that sets 'blocking' is init_con which sets it to FALSE: https://github.com/wch/r-source/blob/0c26529e807a9b1dd65f7324958c17bf72e1de1a/src/main/connections.c#L713 I'll open an issue on R-bugzilla and see if they're

When I read a .gz file with readLines() in 3.4.3, it returns text (and a warning). In 3.5.0, it gives a warning, but no text. Is this expected behavior or a bug? 3.4.3: > source_file = "1k_annotation.gz" > readfile_con <- gzfile(source_file, "r") > readLines(readfile_con, n = 5) [1] "#chr\tpos\tref\talt\t <truncated output here> Warning message: In

The issue is that readLines() tries to seek (for reasons I don't understand) in the non-blocking case, but silently fails for "stdin" since it's a stream. This confused the buffering logic. The fix is to mark "stdin" as unable to seek, but I do wonder why readLines() is seeking in the first place. Anyway, I'll get this into patched ASAP. Thanks for the report.

On R 3.5.0 (Mac) The issue appears when using the default (libcurl) method and specifying the encoding Note that using method='internal' causes a segfault if used in conjunction with encoding. (and works when encoding is not set) urlR <- "http://home.versanet.de/~s-berman/source2.R" # works url_default <- url(urlR) scan(url_default, "") # Read 7 items # [1]

I am having problems getting the unz() function to work as a connection to start reading a file... z <- unz("c:/temp/stoxx.zip", "close_tmi_components.txt", "r") readLines(z,2) yields the following problems: > z <- unz("c:/temp/stoxx.zip", "close_tmi_components.txt", "r") Error in unz("c:/temp/stoxx.zip",