similar to: The try() function with read.delim().

Dear Rs: Hi, I am trying to read a big text file (nrows=243440, ncols=144). It seems the computational time of all the read methods (scan,readtable,read.delim) is not linear to the number of rows I want to read in: things became really slow once I tried to read in 100000 lines compare to 10000 lines). If I am reading the profiling result right, I guess scan wouldn't help either. My

Hello, I used read.xlsx to read in Excel files but for large files it turned out to be not very efficient. For that reason I use a programme which writes each sheet in an Excel file into tab-delim txt files. After that I tried using read.table and read.delim to read in those txt files. Unfortunately, the results are not as expected. To show you what I mean I created a tiny Excel sheet with some

Hi, It would be great if someone would add write.delim() as an adjunct to write.table(), just as with write.csv(). I store a lot of data in tab-delimited files and can read it in easily with: read.delim("text.txt", as.is=TRUE) and would love to be able to write it out as easily when I create these files. The obvious setting needed for write.delim() is sep = "\t", but in

Is there a better way to do the following? I have data in a number of tab delimited files. I am using read.delim() to read them, in a loop. I am invoking my code on Linux Fedora 20, from the BASH command line, using Rscript. The code I'm using looks like: arguments <- commandArgs(trailingOnly=TRUE); # initialize the capped_data data.frame capped_data <- data.frame(lpar="NULL",

I am reading in a very large file with names in it and R is truncating the number of rows it reads in. The separator in this file is a pipe '|' and so I use dat <- read.delim('pathToMyFile', header= TRUE, sep='|') It turns out that it is reading up to row 61145 and stopping and I think I see why, but am not sure of the best solution to this problem. I see the name of

Hi, I have a tab seperated file with 206 rows and 30 columns. I read in the file into R using read.table() function. I checked the dim() of the data frame created in R, it had only 103 rows (exactly half), 30 columns. Then I tried reading in the file using read.delim() function and this time the dim() showed to be 206 rows, 30 columns as expected. Reading the read.table() R-help documentation, I

Hi all, I am running 64-bit R 2.15.0 on windows 7. I am trying to use read.delim to read from a file that has 2-byte unicode (CJK) characters. Here is an example of the data (it is tab-delimited if that gets messed up): HITId HITTypeId Title 2Q69Z6KW4ZMAGKKFRT6Q4ONO6MJF68 2LVJ1LY58B72OP36GNBHH16YF7RS7Z 看看句子，写写想法 请看以下的句子，再回答问 So read.delim (code below) doesn't read in correctly. It reads

I am trying to read a tab-delimited 1.25 GB file of 4,115,119 records each with 52 fields. I am using R 2.11.0 on a 64-bit Windows 7 machine with 8 GB memory. I have tried the two following statements with the same results: d <- read.delim(filename, as.is=TRUE) d <- read.delim(filename, as.is=TRUE, nrows=4200000) I have tried starting R with this parameter but that changed

Full_Name: Liam Gretton Version: 2.9.2 OS: openSUSE 11.1 (x86_64) Submission from: (NULL) (143.210.13.77) Reading a large number of rows of delimited data via the clipboard results in a segfault or double free error. I've tested copying from various applications, but gedit will do. This problem exists in the openSUSE-supplied 2.8.1, I've just built 2.9.2 to see if it's still there,

Dear friends, I stumbled into beheaviour of read.delim which I would consider a bug or at least an inconsistency that should be improved upon. Recently we had to work with data that used "", two double quotes, as symbol to start and end character input. Essentially the data looked like this data.csv ======== V1, V2, V3 ""data"", 3, """" The

Hi, I am trying to read a tab-delimited file into R (Ver. 2.8). The machine I am using is 64bit Linux with 16 GB. The file is basically a matrix(~600x700000) and as large as 3GB. The read.delim() ran extremely slow (hours) even with a subset of the file (31 MB with 6x700000) I monitored the memory usage, and found it constantly only took less than 1% of 16GB memory. Does read.delim()

Dear list, I hope this is the right place to post a feature request. If there's exists a more formal channel (e.g. as for bug reports), I'd appreciate a pointer. I work a lot with named nested lists with arbitrary degrees of "nestedness". In order to retrieve the names and/or values of "bottom layer/bottom tier", I love the functionality of 'unlist()', or

Hi people, I have a text file like this one posted: snp_id gene chromosome distance_from_gene_center position pop1 pop2 pop3 pop4 pop5 pop6 pop7 rs2129081 RAPT2 3 -129993 "upstream" 0.439009 1.169210 NA 0.233020 0.093042 NA -0.902596 rs1202698 RAPT2 3 -128695 "upstream" NA

Hi I have a huge data-set with one column being of type date. Of course I can import the data using this column as "factor" and then convert it later to dates, using: sws.bezuege$FaktDat <- dates(as.character(sws.bezuege$FaktDat), format = c(dates = "d.m.y")) But the conversion requires a huge amount of memory (and time), therefore I would

I'm trying to read a comma delimited dataset that uses '.' for NA. I found that if the last field on a line was a missing '.' it was not read as NA, but just a '.', and the life variable was made a factor. The data looks like this, income,imr,region,oilexprt,imr80,gnp80,life Afghanistan,75,400.0,4,0,185.0,.,37.5 Algeria,400,86.3,2,1,20.5,1920,50.7

In R 1.9.0, make.names will accept "_" as a valid character for a syntactically valid name. I would appreciate to have an option in ``read.delim'' (etc.) that would change "_" in headers of input files to "." for compatibility with code and data written for R 1.8.1 and before. Wolfram Fischer

Hi R folks, Can anyone tell me how to read in a pipe ("|") delimited text file? I've tried the following: read.delim("c:/junk/junk.txt",sep="|", skip=7, check.names=FALSE,quote = "", header=F) The file looks something like the following: RD|I|04|013|9997|68103|5|7|017|830|20000221|00:00|12.6||6|||||||||||||

I am the proud owner of a new laptop since my old one died the other day. Currently I have a dual-boot Windows 7 Home and Ubuntu 12.04 . I'll leave the Windows problems for another post. I know practically nothing about Linux so I am probably doing something stupid but ... at the moment I cannot seem read or write files in Ubuntu. I am not having any problem saving other documents to the

Hello, I would like to read sets of files within a folder, perhaps using recursive methods. Right now, I rename the files before import. It would be even better to do this without renaming files, without providing explicit filenames, perhaps by importing files based on chronology, and translating each filename into a header? Please excuse my ignorance, and help cure my clunky programming

Hi - I'm reading in a tab delimited file that is causing issues with read.delim. Specifically, for a specific set of lines, the last entry of the line is misread and considered to be the first entry of a new row (which is then padded with 'NA's' ). Specifically: tmp <- read.delim( "trouble.txt", header=F ) produces a data.frame, tmp where if I call tmp[,1],