similar to: apparent problems with the textConnection command

Hello. I don't uderstant when to use textConnection and when not. Some examples do it, some not. I've even seen something like con <- textConnection(rev(rev(ReadLines('data.txt'))[-(1:2])) data <- read.table(con) close(con) -- View this message in context: http://r.789695.n4.nabble.com/when-to-use-textConnection-tp2327132p2327132.html Sent from the R help mailing list

Colleagues, Using R2.7.0 in OS X, I am having trouble understanding the command textConnection. My situation is as follows: 1. I am trying to read a lengthy file (45000 lines) that has headers ~ every 1000 lines. read.table (or its variants) fail because of the recurrent headers. 2. My present approach is the following: a. use readLines to read the file, save as an array b. use grep

I need read a table in a string with special format. I used read.csv and textConnection function. But i am confuse about textConnection by follow code. case A: It is OK£¡ str0 <- '{"abc",{"def","X,1&Y,2&Z,3"}}' str1 <- strsplit(str0,'"')[[1]][6] str2 <- gsub("&","\n", str1) con <-

hello, I don't understand what's happen just before the textConnection function runs good but now it doesn't run > Line[1] [1] "if C325=. then C743=(C152/C103)*100| else C743=(C152/C325)*100" > textConnection(Line[1]) Erreur dans textConnection(Line[1]) : toutes les connexions sont utilisées why R display that?

I was using 'textConnection' to read in a file with about 11,000 lines so I could detect lines with incomplete data and delete them and then read them in with 'scan'. I am using 1.7.0 on Windows. Here is the output from the script and it was using 51 seconds just to do the textConnection. Is there a limit on how large a text object can be to be used with

Hello; This is bit long email but hope someone can guide me. I have questions regarding socket, readLines and textConnection. I am not sure if my code is efficient (due to textConnection) and how to handle client disconnect and restart of the socket server in R. I have a huge(3.5+G) text file on machine 'A', which I want to process on machine 'B' using read.table (one line or a

I was trying to read in a file and delete lines that did not have the correct number of fields on them. I was reading the file as one character vector per line using 'scan' with sep='\n'. I was then using 'count.fields' with 'textConnection' to the object I just read in. I thought at first the system was locked up, but further testing showed that the

Some time ago someone asked for things that make R difficult to master. Here I want to record one R behavior that took me off-guard yesterday. Moral of the story: vectorialize, but don't exaggerate. Hope it helps mario ### A very simple data frame tc <- textConnection( "prefix idx val A 1 11 A 2 22 B 1 33 B 2 44") s <- read.table(tc,

Dear All: I encountered and apparently overcame problems following Yan and Rossini?s procedure for "Building Microsoft Windows Versions of R and R packages under Intel Linux" (http://cran.r-project.org/doc/contrib/cross-build.pdf): I have successfully cross-compiled R packages for Windows on a FreeBSD 4.10 i386 system. My revisions to Makefile-rcb (http://cran.r-

(Sorry for not linking to your message; I accidentally deleted the original copy of your message.) Your code > zz = textConnection('tempConnection', 'wb') > saveRDS(c("a", "b", "c"), zz, ascii = TRUE) > serialized_obj = paste(textConnectionValue(zz), collapse='\n') > readRDS(textConnection(serialized_obj)) Error in

dear ALL-R-helper: I modify my question in "textconnection output": I wrote one function in Rgui: output <- function(y){ x <- textConnection("foo","w") sink(x) a <-5 b <-6 z <-a*b z e <-"spss" h <-c(1,2,3) ls() r<-c("s","p","s","s") p<-list(1:10) p y <- foo sink()

Dear all, It seems that textConnection() can trigger a segmentation fault. The following script (using two large loops) makes this bug reproducible: for (i in 1:10000) { z=textConnection(NULL,open='w') for (j in 1:100) { write(runif(1)*1e6,file=z) write('\n',file=z) } close(z) } The bug could be reproduced on R-2.6.1, R-2.7.0 and on the latest R-devel

2009 Wish list for R (no particular order): - some way of placing backslashes in literal strings without escaping them. Useful for latex, regular expressions and Windows file paths. This seems to come up from time to time on the lists. Ruby, python, Perl and other scripting languages have various ways to handle this which might be used as a model. - in Windows, some way to tell

List Members, I am using R 1.3.1 for windows and trying to capture the output of some summaries using textConnection. I then want to incorporate the text with summary graphics output. The code below works (captures the output) when it is not used in a loop or function. When placed in a loop or function, the cat outputs are captured to 'foo' but the summary outputs are not. The

Is this warning given on purpose? > myconn<-textConnection("print(11*11)") > source(myconn) [1] 121 Warning message: In source(myconn) : argument 'encoding = "native.enc"' will be ignored Could it be omitted, since the docs state that encoding is only use if the corresponding argument is a file name or url? -- Erich Neuwirth, University of Vienna

Dear R users, this is a question for R version 1.2.0 under Windows NT 4.0, regarding the documentation of ones own functions. I have ceated a private library for my functions, which works all very well, apart from that I am not able to create appropriate help files. For illustration, here is a simple example of where I'm stuck: > # first, create a simple function f1: > f1 <-

I am trying to load a dll compiled with the latest cygwin into R 2.7.0 R version 2.7.0 (2008-04-22) Copyright (C) 2008 The R Foundation for Statistical Computing ISBN 3-900051-07-0 I have: Sys.getenv("Path") Path

Hi, I have a DF like this: DF = data.frame(read.table(textConnection(" A B C 1 b1 1999 0.25 2 c1 1999 0.25 3 d1 1999 0.25 4 a2 1999 0.25 5 c2 1999 0.25 6 d2 1999 0.25 7 a3 1999 0.25 8 b3 1999 0.25 9 d3 1999 0.25 10 a4 1999 0.25 11 b4 1999 0.25 12 c4 1999 0.25 13 b1 2001 0.5 14 a2 2001 0.5 15 b1 2004 0.33 16 c1 2004 0.33 17 a2 2004 0.33 18 c2 2004

I've noticed that the processing time for the default capture.output() grows exponentially in the number of characters outputted/captured. The default settings sinks to a temporary textConnection(). When instead sinking to a rawConnection(), the processing time becomes linear. See below example and attached PNG figure [also at

Hi All, I had working code under R v3.2 that serialized an object, stored the serialized object in a database, and then successfully retrieved and hydrated that object. I recently updated to R v3.4.1 and the same code now fails. Here is the code in question (simplified), and the resulting error: > zz = textConnection('tempConnection', 'wb') > saveRDS(c("a",