similar to: Help on read in a txt file

I'm trying to import a table into R the file is about 700MB. Here's my first try: > DD<-read.table("01uklicsam-20070301.dat",header=TRUE) Error: cannot allocate vector of size 15.6 Mb In addition: Warning messages: 1: In scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : Reached total allocation of 1535Mb: see help(memory.size) 2: In scan(file, what,

Dear all, I have a tab-delimited text (.txt) file which I'm trying to read into R. This file is of column format - there are in fact 3 columns and 259201 rows (including the column headers). I've been using the following commands, but receive an error each time which prevents the data from being read in: > Jan <- read.table("JanuaryAvBurntArea.txt", header=TRUE) Error in

Hello R-User I have a table as tab-delimited textfile (291 rows, 83 columns). The first row are labels and the first line the variable names. I used the following code several times with different similar tables and it always worked. But now: setClass("of") setAs("character", "of", function(from) as.ordered(from)) Classe82<-cclasses <-

Dear R-users, I have encountered the following problem every now and then. But I was dealing with a very small dataset before, so it wasn't a problem (I just edited the dataset in Openoffice speadsheet). This time I have to deal with many large datasets containing commuting flow data. I appreciate if anyone could give me a hint or clue to get out of this problem. I have a .dat file

Hello, Here is a link to some data: http://www.epa.gov/emap/html/data/surfwatr/data/mastreams/9396/wchem/chmval.txt I am trying to read this in, and want to use: chmval <- read.table("http://www.epa.gov/emap/html/data/surfwatr/data/mastreams/9396/wchem/chmval.txt", sep=",", skip= 84, header=T) the # 84, for 84 lines skipped needs to be derived from the 5th line of the

I found it easy to use R when typing data manually into it. Now I need to read data from a file, and I get the following errors: > refdata = > read.table("K:\\MerchantData\\RiskModel\\refund_distribution.csv", header > = TRUE) Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : line 1 did not have 42 elements > refdata = >

Hi, I am mediocre at R, maybe 1000 hours experience, but I received an 8GB dataset and I don't know what to do with it. I have to do extensive analysis over it for my Honours thesis. I can't even import it. I've tried; - Splitting it up using the free csv-splitter-1.1.zip that seems to be working for everyone else (it doesn't work for me, it just outputs 1 single line). -

Hi! I have to import some TXT files into R, but the separation between the columns are made with different blank spaces, but each file use the same separation. Example: 31 104 5 0 11RUA SAO SEBASTIAO 25 BAIRRO FILETO 01

Dear Experienced R Practitioners, I have 4GB .txt data called "dataset.txt" and have attempted to use *ff, bigmemory, filehash and sqldf *packages to import it, but have had no success. The readLines output of this data is: readLines("dataset.txt",n=20) [1] " "

Hola Jorge, Algo pasa con el fichero... He abierto el link de Dropbox, y he salvado el texto como "txt.txt" en local. Pruebo a abrirlo en R y...: > scan(file="txt.txt")Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : scan() expected 'a real', got 'ÿþM'> getwd()[1] "C:/Users/xIs12136/Downloads" Pruebo a abrirlo

Hola. Con r <- scan(txt, character(0)) creo que debiera montarse el texto carácter a carácter. He comprobado que funciona pero no he validado la importación del texto. Igual es un camino que lleva a alguna parte.... Un Saludo, Miguel. -----Mensaje original----- De: r-help-es-bounces en r-project.org [mailto:r-help-es-bounces en r-project.org] En nombre de Carlos Ortega Enviado el:

Dear list, I need to read a big txt file (around 130Mb; 23800 rows and 49 columns) for downstream clustering analysis. I first used "Tumor <- read.table("Tumor.txt",header = TRUE,sep = "\t")" but it took a long time and failed. However, it had no problem if I just put data of 3 columns. Is there any way which can load this big file? Thanks for any suggestions!

Hi, I am looking for an efficient way of skipping big chunks of lines on a connection (not necessarily at the beginning of the file). One way is to use read lines, e.g. readLines(1e6), but a) this incurs the overhead of construction of the return char vector and b) has a (fairly remote) potential to blow up the memory. Another way would be to use scan(), e.g. scan(con, skip=1e6, nmax=0)

Hello, I have a problem to read a csv table. To read it I used this syntax > donParCara <- read.table("C:/Documents and Settings/melyakhlifi/Mes documents/feuilles excel/calcul2.csv",header=TRUE,sep=";",quote="",dec=",") I don't understand my errors Erreur dans scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : la

Hi, I'm running into the error below when doing "R CMD INSTALL MyPackage.tar.gz". This didn't use to be this way and I am at a loss as to where this might be coming from. Any pointers where to look? Joh ** building package indices ... Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : line 1 did not have 8 elements ERROR: installing package

Hola a todos, Me gustaria leer el texto que se encuentra en http://dl.dropboxusercontent.com/u/9601860/txt.txt He intentado txt <- 'http://dl.dropboxusercontent.com/u/9601860/txt.txt' r <- scan(txt) #Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : # invalid multibyte string at '<ff><fe>M' r <- read.table(txt, header = FALSE)

It seems to me the following should work (in fact, it comes from someone's SPlus file). Instead, it reads the first 8 lines and then spits out syntax errors. Using nlines=36 works. Using nmax does not. Intel RH5.2 with R90.0. Debugging shows it must be internal. Jim junk <- scan(file="",list(i=0,r1=0,r2=0,lull="",day=""),n=5*36) 1 3 5 no 1 2 1

No matter how I´ve tried o find a solution for this simple question, I can´t. Sorry for bothering with such a matter. I have an excel-files with some empty cells=missing values. How do I tell R that these should be NA´s? > TRFLP1 <-(read.table(file="S://SEDIM//Kokeilu//TRFLP1.txt",col.names= c("Dye_Sample Peak", "Sample_File_Name", "Size",

Full_Name: Juho Vuori Version: 2.7.0 (2008-04-22) OS: Linux poseidon.fimr.fi 2.6.23.17-88.fc7PAE #1 SMP Thu May 15 00:22:53 EDT 2008 i686 i686 i386 GNU/Linux Submission from: (NULL) (193.166.188.194) Calling read.table() twice the following way causes a segmentation fault in R. Run R and type the following commands: > read.table(stdin()) 0: 1 2 3 1: 3 2: Error in scan(file, what, nmax, sep,

Dear R-users, When i try - Data1<-read.table("/Users/kama/Analysis/GDP10.csv",header=TRUE,sep=";") i am getting this error: Warning message: In scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : number of items read is not a multiple of the number of columns I wonder what Iam doing wrong. i guess it is something simple, however, i do not understand