similar to: textConnection taking a long time to open a big string

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 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 <-

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

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

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)

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 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?

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",

(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()

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

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

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 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

Hi list, I have a function that detects saccadic eye movements in a time series of eye positions sampled at a rate of 250Hz. This function needs three vectors: x-coordinate, y-coordinate, trial-id. This information is usually contained in a data frame that also has some other fields. The names of the fields are not standardized. > head(eyemovements) time x y trial 51

I am still trying to troubleshoot my problem of not being able to join computers to the domain. I have found this comment by John Terpstra:- >Newsgroups: linux.samba >From: John H Terpstra <j...@samba.org> - Find messages by this author >Date: Wed, 14 Jan 2004 00:00:17 +0100 >Curtis, >Do not set the UID of Administrator to 0, it will break winbind use. >Instead, use the

Hello, I'm running SuSE 9.1 Linux, with Samba 3.04. All of the computers are able to print to this one printer, except for this one computer. I can't seem to resolve the problem, and I'm pretty sure it's not Win XP SP2, because another computer at my workplace has the same exact setup, and is able to print. Any help is really appreciated, thank you. Aizat Faiz Oct 20 12:37:09

Dear R community, I have the following two zoo objects: MONTHLY CPI > plot(z) > par("usr") [1] 1977.76333 2011.15333 70.39856 227.03744 > z=zooreg(cpius$Value,as.yearmon("1979-11"),frequency=12) > str(z) ?zooreg? series from Nov 1979 to Oct 2010 Data: num [1:372] 76.2 77 77.8 78.5 79.5 80.3 81.1 82 82 82.6 ... Index: Class 'yearmon' num [1:372]

code path: ocfs2_ioctl_move_extents ocfs2_move_extents ocfs2_defrag_extent __ocfs2_move_extent + ocfs2_journal_access_di + ocfs2_split_extent //sub-paths call jbd2_journal_restart + ocfs2_journal_dirty //crash by jbs2 ASSERT crash stacks: PID: 11297 TASK: ffff974a676dcd00 CPU: 67 COMMAND: "defragfs.ocfs2" #0 [ffffb25d8dad3900] machine_kexec at ffffffff8386fe01

Hello List, My goal is to create a 5 category variable (p1_st_data$ob_mrj_cat), based on the p1_st_data$obt_mrj_p variable, using the following code for 50 States and District of Columbia (N=51). p1_st_data$ob_mrj_cat <- cut (p1_st_data$obt_mrj_p, quantile (p1_st_data$obt_mrj_p, (0:5/5), include.lowest=TRUE)) The issue is that, for Utah, I am getting an <NA> instead of (42,48.7] in