search for: textconnections

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 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

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

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

Dear list, In my experiments in reading in text data, I have?obtained some peculiar results.?I would appreciate any help in understanding these results. Consider the following code : ## Reading in text data from a text file ### the first line of file f1.txt contains the text :??? c:\Rtools\bin;c:\Rtools\perl\bin;c:\Rtools\MinGW\bin; f1<-file("C:\\Ex\\f1.txt") c1<-readLines(f1,1)

Jeff, Thank you for your reply. The intent was to construct a minimum reproducible example. The same warning occurs when the 'file' argument points to a file on disk with a million lines. But you are correct, my example was slightly malformed and in fact gives an error under R version 3.2.2. Please allow me to try again; in older versions of R, ?? > read.table(file =

>>>>> Benjamin Tyner <btyner at gmail.com> >>>>> on Tue, 24 Oct 2017 07:21:33 -0400 writes: > Jeff, > Thank you for your reply. The intent was to construct a minimum > reproducible example. The same warning occurs when the 'file' argument > points to a file on disk with a million lines. But you are correct, my >

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

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()

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

(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 R-helpers, I know of two ways to reading data within an R program, using textConnection and stdin (demo program below). I've Googled about and looked in several books for comparisons of the two approaches but haven't found anything. Are there any particular advantages or disadvantages to these two approaches? If you were teaching R beginners, which would you present? Thanks, Bob

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

...quot;, n=2) +sprintf("\%04x", readBin(zz, "integer", n=2, size=2)) +sprintf("\%08x", readBin(zz, "integer", endian="swap")) +readBin(zz, "numeric", n=1, size=4) +close(zz) +} +\keyword{file} +\keyword{connection} --- ./src/library/base/man/textconnections.Rd.orig 2005-09-03 13:55:48.274305900 -0700 +++ ./src/library/base/man/textconnections.Rd 2005-09-18 11:37:03.457530300 -0700 @@ -45,16 +45,11 @@ } \value{ - A connection object of class \code{"textConnection"} which inherits - from class \code{"connection"}. + A text-mod...

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

Dear list, This is a bit of an off-topic question, but I'm hoping to get some advice from more experienced people. I've used the website "Web of Science" to manually collect publication counts responding to several keywords as a function of date, since the 1960s. http://apps.isiknowledge.com/RAMore.do?product=UA&search_mode=&SID=P1g9lFJp9 at

If I have a text with 7 words per line and I would like to put first and second word joined in a vector and the rest of words one per column in a matrix how can I do it? First 2 lines of my text file: "2008/12/31 12:23:31 numero 343.233.233 Rodeo Vaca Ruido" "2010/02/01 02:35:31 palabra 111.111.222 abejorro Rodeo Vaca" Results: Vector: 2008/12/31 12:23:31 2010/02/01 02:35:31

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