similar to: textConnection

(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 List, I would like to plot the diagnostic plots for an anova object and the anova table in a single window divided into 5 plotting regions. Plotting the diagnostics is simple engough but is there an easy way to plot the formatted table of an anova object in the fifth plotting region? I am using v1.2.1 on RH7. The code I am using follows: ... aov.objects <-

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",

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 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

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?

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 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

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)

Here's an update of my rawConnection() implementation. In addition to providing a raw version of textConnection(), this fixes two existing issues with textConnection(): one is that the current textConnection() implementation carries around unprotected SEXP pointers, the other is a performance problem due to prolific copying of the output buffer as output is accumulated line by line. This new

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

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()

Hi, I am currently writing code to input a few thousand files, run them through the Random Forests package, and then output corresponding results. When I use the code below: zz<-textConnection("ex.lm.out", "w") sink(zz)

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

Hi there, The following data is obtained from a long-term experiments. > mydata <- read.table(textConnection(" + y year Trt + 9.37 1993 A + 8.21 1995 A + 8.11 1999 A + 7.22 2007 A + 7.81 2010 A + 10.85 1993 B + 12.83 1995 B + 13.21 1999 B + 13.70 2007 B + 15.15 2010 B + 5.69 1993 C + 5.76 1995 C + 6.39 1999

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

R developers, I have a first attempt to make an aov function. Eventually I want to build in Error() structure, but first I am trying to get this presentable for balanced data with only a single stratum, just using residual error. I am following R. M. Heiberger's Computation for the Analysis of Designed Experiments, Wiley (1989) I a using a wrapper (aov.bal) to call the

I am using R 1.1 with Redhat 6.2 and RW 1.001 with Win98 (the upkey doesn't work on my IBM either as has been previously reported by others). The function aov doesn't return either the residuals or the residual degrees of freedom for split-plot designs. If you use the following code from Baron and Li's "Notes on the use of R for psycology experiments and questionnaires"