similar to: read.csv

Hi, is there are reason for not supporting NULL or "NULL" values for argument colClasses in read.table(), much like you can use NULL values for argument 'what' in scan()? This would help quite a bit when reading large data files where only a few columns are of interest. I've modfied read.table() to so it calls scan(what=...) also with NULLs for the fields to be skipped.

I've spent some time trying to wrap my head around reading in large csv files with the ff-package. I think I know how to do it, but am bumping into some problems. I've tried to recreate the issues as best as I can with a smaller example and maybe someone can help explain the problems. The following code just creates a csv file with an integer column, character column and logical column.

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 <-

Hi! It seems that read.table() in R 3.0.1 (Linux 64-bit) does not consider quoted integers as an acceptable value for columns for which colClasses="integer". But when colClasses is omitted, these columns are read as integer anyway. For example, let's consider a file named file.dat, containing: "1" "2" > read.table("file.dat",

Hi, I'm using R version 3.0.2. While I executed the following command filedata <- read.csv(file, header=TRUE, colClasses="character") I got the warning message: In scan(file, what, nmax, sep, dec, quote, skip, nlines,  ... : EOF within quoted string I'd like to know what this means? And how shall I fix the problem? Thank you for your help. Best, Chia-Chieh Lin

Hola, Estoy tratando de leer una base de datos: tengo 39 columnas, de las cuales 38 son variables y una es el nombre de las empresas. Por lo que escribo el siguiente codigo: Variables <- read.csv("C:/Users/usuario/Documents/variables2.csv", header=TRUE, sep=";", comment.char="" , colClasses=c(Empresas="character",

Estimados Tengo un archivo CSV con 1.200.000 registros separados por ";" y cuando quiero abrirlo me da el siguiente error: form<-read.csv("Usr1.csv" , sep=';' , na.strings = "NA", header=T) Mensajes de aviso perdidos In scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : entrada inválida encontrada en la conexión de entrada

Hola, sin indicar los tipos de variables si los lee, pero el problema está en que necesito calcular una matriz de correlaciones y genera el siguiente error: Error in cor(Variables) : 'x' must be numeric Date: Tue, 10 Nov 2015 20:35:40 +0100 Subject: Re: [R-es] Problema con la lectura de datos From: cof en qualityexcellence.es To: valeagui en outlook.es CC: r-help-es en r-project.org

Hi all, I'm trying to read a data set into R, but the file is messy, so I have to do it partially. The whole data is in a .txt file, and the values are separated by a space. So far ok. The problem is that in this file, not all the lines have the same number of elements, and the reading stops. And I loose the reading of the previous lines. ex. of data set: 11 12 13 21 22 23 31 32

Hi List, when supplying a vector of atomic vector classes to read.table, I get: # column classes colClasses=c("character", "character","numeric", "numeric", "numeric", "numeric", "numeric", "numeric", "numeric", "numeric", "numeric",

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 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

con as.numeric tampoco me van los cálculos y no conozco otra manera, pues son alrededor de 40 variables las que tiene la tabla. To: valeagui en outlook.es; cof en qualityexcellence.es; r-help-es en r-project.org From: javier.ruben.marcuzzi en gmail.com Subject: RE: [R-es] Problema con la lectura de datos Date: Tue, 10 Nov 2015 16:43:05 -0300 Estimada Valentina as.numeric(...) Mira mi correo

I have a file in stata format, which I have read in, and I am trying to create a text file. I have exported the data using various delimiters, but I'm unable to read it back in. I originally read in the file with: library(foreign) myData <- read.dta("mydata.dta") I then exported it with write.table using comma, tab, and exclamation marks as a delimiter. When I was unable to

Dear, When I try to to execute the following command, R don't read all lines (reads only 57658 lines when the file has 814125 lines): dados2<-read.table("C:\\Documents and Settings\\mgoncalves\\Desktop\\Tbua

Valentina, Si entiendo bien la primer columna de Variables es el nombre de Empresas (un character), no uses esta columna en la función cor, sólo las columnas numéricas. cor(Variables[ , -which( names(Variables) == "Empresas")]) Si no es ese el problema envía str(Variables) para entender mejor la estructura de los datos, y si puedes dput(Variables). Suerte, Daniel Merino El 10 de

It seems to me that colClasses = "logical" in read.table produces incorrect results when the input file has `1' and `0' in it. Although, it is perhaps just as likely that I am misunderstanding the documentation. Here is a simple example: > file.show("test.txt") x 1 0 1 > read.table("test.txt", header = TRUE) x 1 1 2 0 3 1 This result is fine. >

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

Hola, En orden de lo anterior y en tratar de convertir los datos a númericos para poder sacar los estadísticos he hecho lo siguiente generando error: library(xtable) variables <- read.csv("C:/Users/usuario/Documents/Investigacion.csv", header=TRUE, sep=";", comment.char="" , colClasses=c(EMPRESAS="character",

Hola. He estado viendo los datos que adjuntas en el correo. Al ser un fichero Excel xlsx ¿por qué no lo abres directamente? Te aconsejaría la librería openxlsx (si no la has usado nunca , instálala con install.packages(?openxlsx?)) Este es el código que he ejecutado y los resultados que obtengo: library(openxlsx) dat <- read.xlsx("Variables.xlsx") str(dat) Que produce: