similar to: Appending strings at the beginning of a text file

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

All, I have a 30 million record text file without header information. I would like to add a header to this file without reading it first. Is this possible? The code below does what I want except that the readLines portion takes quite a long time. Is there a way around reading the lines? I'm working on Windows XP. Zev input<-readLines("c:/junk/forR.csv")

Dear all, I wrote a wrapper to a FORTRAN program using R. The main program uses a text file (~200 lines) as an input describing the simulation to be run. I typically generate the file once with the right parameters using a combination of file(), paste(), cat(). This is fine, and it works well, however I then need to update only a few values in the file many times (~200 times,

Dear list, I need to change a value within a particular line of a plain text file with characters and numbers, and I haven't found any way of doing this by using R. What I have a is a file that doesn't have tabular data (so, I think that 'read.table' or 'read.delim' are not the right tools for this), but some text, and I now exactly the row that has to be modified and the

Colleagues, I am using R 2.7.2 on all three platforms (OS X; Windows; Linux) and I have encountered the following problem: I use R to issue a system call the execute a command in the OS. For example: system("DOSOMETHING TOSOMEFILE") In most situations, this task completes successfully and control returns to R. However, in rare situations, the target file (TOSOMEFILE) is

I am using read.table to import a text file within R.   There are several "errors" in my text file.  An "extra" quotation mark has inadvertently been included within a few text fields.   e.g. for a pipe (|) delimited text file, I have something similar to this:   1|7|30| "dog" 2|6|25| ""cat" 3|4|20|"" 4|5| 56| "mouse" 5|3|56|

Working on Windows I have had to deal with CSV files that, unfortunately, contain embedded Control-Zs, i.e. ASCII character 26 in decimal, and the readLines() function in R on Windows (2.15.2 and 3.0.0) appears to truncate at the control-Z. There is no problem at all on Ubuntu Linux with R 3.0.0. Am I mistaken or is this genuine? # Create a small file with embedded Control-Z h3 <-

Dear all, I just started using R today. What I need to do is find a text string in a (large) text file and than copy the some position related lines (or text) to an other text file. Is this possible with R? Example: Search string is: "Date" write line of <search string> +0, +2, +6, +7, +8, +9 ######################################## 1 Report of measured data 2 - 3 Date: 01-10-03

Tony Plate wrote: > ligges@statistik.uni-dortmund.de wrote: > >> tplate@blackmesacapital.com wrote: >> >> >>> I've noticed that seek(con, 0, "end", rw="r") on a file connection >>> does not always work correctly after a write (R 2.1.0 on Windows). >>> >>> [Is a call to fflush() needed inside file_seek() in

I'm importing a lot of text tables of data (from Latent Gold) that includes hashes in some of the column names ("Cluster#1", "Cluster#2", etc.). Is there an easy way to strip the offending hashes out before pushing the text into a table or data frame? I thought I'd use gsub, e.g., but can't figure out how to read in a text file without reading it into a table or

On 23.02.2016 14:06, Mikko Korpela wrote: > On 23.02.2016 11:37, Martin Maechler wrote: >>>>>>> nospam at altfeld-im de <nospam at altfeld-im.de> >>>>>>> on Mon, 22 Feb 2016 18:45:59 +0100 writes: >> >> > Dear R developers >> > I think I have found a bug that can be reproduced with two lines of code >>

Hi, I am reading a large space-delimited text file into R (41 columns and many rows) and need to do run each row's values through another R object and then write to another text file. So, far using readLines and writeLines seems to be the best bet. I've gotten the data exchange working except each row is read in as one 'chunk', meaning the row has all values between two quotes

Hello I'm fairly new to R. I have a script which produces a 1-column vector (numeric). I can write it to a text file using the write command. What I want to do is to run the script a number of times on different input files, producing a different 1-column vector each time and save all the vectors to a text file so that each vector is one separate column in the text file. I had thought of

There was a discussion on r-help of getting the output from print.packageInfo into a file. Spencer and I have added a file= argument to print.packageInfo for consideration in R. Had this been available it would have simplified the answer to that thread. If the file= argument is used then the packageInfo information is sent to the file specified rather than displayed using file.show .

Recent functionality in jsonlite allows for streaming json to a user supplied connection object, such as a file, pipe or socket. RFC7159 prescribes json must be encoded as unicode; ISO-8859 (including latin1) is invalid. Hence I would like R to write strings as utf8, irrespective of the type of connection, platform or locale. Implementing this turns out to be unsurprisingly difficult on windows.

How can I read a space-delimited file, where the data values for each case are folded before column 80, and so appear on two lines for each case? The first few cases look like this loc type bio H2S sal Eh7 pH buf P K Ca Mg Na Mn Zn Cu NH4 OI DVEG 676 -610 33 -290 5.00 2.34 20.238 1441.67 2150.00 5169.05 35184.5 14.2857 16.4524 5.02381 59.524 OI DVEG 516 -570 35 -268 4.75 2.66 15.591 1299.19

Hello, I am trying to run the following syntax for all cases within the dataframe "data" d1 <- data[1,c("material")] fileConn<-file("TESTI/d1.txt") writeLines(d1, fileConn) close(fileConn) I am trying to use the for function: for (i in 1:nrow(data)){ d[i] <- data[i,c("material")] fileConn<-file("TESTI/d[i].txt")

Hi, all, I pressed Ctrl+C in R process, and found that the child process which was spawned by using "pipe" is terminated due to this. Are there any way to work around it, so that the child process can run happily without being terminated? Or can we block the signal for the child process? 1. I used pipe to spawn one C++ process, which will running in a loop without exiting immediately.

>>>>> nospam at altfeld-im de <nospam at altfeld-im.de> >>>>> on Mon, 22 Feb 2016 18:45:59 +0100 writes: > Dear R developers > I think I have found a bug that can be reproduced with two lines of code > and I am very thankful to get your first assessment or feed-back on my > report. > If this is the wrong mailing list or I

Hello all, I'm a novice R programmer and I don't have a clue as to how to approach this. I have tried many different approaches only to fail and I can't seem to wrap my head around it. So I turn to the experts. I have a text file with patient data that has incorrect dates of service. I need to update the dates of service in the text file with data that's in a dataframe.