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 have the following problem. Inside R, I am trying to run a loop on several files. The data are stored in these files in a peculiar way, thus, at the same time I load the data, I would like to invoke a utility. I do this with "pipe". (The utility I am using is gbget from the package gbutils. It works correctly from shell, and it is not the problem.) The problem is that from

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???

Dear friends of R, I want to produce a pdf file with the contents of a matrix. I employ the latex command in combination with dvi, both contained in the Hmisc package. It seems to me that the function does not correctly set the directory. > tbl.loc <- matrix(1:4, nc=2) > latex.obj <- latex(tbl.loc) > dvi(latex.obj) warning: extra args ignored after 'cd' H:\PROJECTS\data

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.

Finally, I'm getting to a point in working with R where I would like to start to add some smart and custom error handling. Specifically, I would like to add custom error handling to my code for source(...), read.table(...), and readLines(...) For example, right now I have the following: > postprocesspath<-c("C:/") > postprocess_scriptname<-c("Bob.R") >

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.

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"

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" }

We have a service that clients use to upload files. We have a couple of clients that are on slow links and so their upload times out. We get errors in the logs that I''d like to get rid of. I was hoping that the recent commit 24b9f66dcdda44378b4053645333ce9ce336b413 would help us, but it does not. After digging in a bit, I have some ideas about why and a patch I''d like comments

Package: xen-3 Severity: important Tags: patch Cheers, Marco Sinhoreli -- System Information: Debian Release: lenny/sid APT prefers testing APT policy: (500, 'testing') Architecture: amd64 (x86_64) Kernel: Linux 2.6.18.8-xen (SMP w/2 CPU cores) Locale: LANG=en_US.UTF-8, LC_CTYPE=en_US.UTF-8 (charmap=UTF-8) Shell: /bin/sh linked to /bin/bash -------------- next part --------------

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]

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")