similar to: import csv file problem

Hey, I am having problems with importing a csv file to R. I could read the file by typing: read.csv(file="/Users/kama/Desktop/skatter.csv", header=TRUE, sep=";") However, i can not analyze the "skatter" - for ex, when i type: skatter = read.csv("skatter.csv") i get this message: Error in file(file, "rt") : cannot open the connection

I am just beginning to learn R, using _R for Dummies_ by Andrie de Vries and Joris Meys. I am using Windows 7, and RGui (64-bit) version 3.0.2. I have reached the chapter on "Getting Data Into and Out of R." But the code they use for importing data doesn't seem to be working for me. Their example is:> elements <- read.csv(file.path("f:", "elements.csv"))

On 24/04/2016 4:30 PM, Jason Hernandez via R-help wrote: > I am just beginning to learn R, using _R for Dummies_ by Andrie de Vries and Joris Meys. I am using Windows 7, and RGui (64-bit) version 3.0.2. I have reached the chapter on "Getting Data Into and Out of R." But the code they use for importing data doesn't seem to be working for me. > > Their example is:> elements

Duncan, What about converting your anova results in R ?back into csv or excel? Thanks Charles ? From: Duncan Murdoch <murdoch.duncan at gmail.com> To: Jason Hernandez <jason.hernandez74 at yahoo.com>; "r-help at r-project.org" <r-help at r-project.org> Sent: Sunday, April 24, 2016 2:05 PM Subject: Re: [R] Using read.csv() to import data On 24/04/2016 4:30

Hello, I'm trying to read a file rows at a time, so as to not read the entire file into memory.? When reading the "connections" and "readLines" help, and "R help archive," it seems this should be possible with read.csv and a file connection, making use of the "nrows" argument, and checking where the "nrow()" of the new batch is zero rows.

Hey, I am having some problems with importing a csv file into R and then saving it for analyzing. I got a csv file ( skater.csv) which i could read by typing: read.csv(file="/Users/kama/Desktop/skatter.csv", header=TRUE, sep=";") However, when i enter: skatter.csv<-read.csv("skatter.csv", header=TRUE) i get this message: Error in file(file,

Hi, I am trying to import csv file in R console I have saved my data in a file on the desktop named R and here is my problematic script > load("C:\\Users\\Anthi\\Desktop\\R\\A.csv") Error: bad restore file magic number (file may be corrupted) -- no data loaded In addition: Warning message: file ‘A.csv’ has magic number ';Abra' Use of save versions prior to 2 is deprecated

Hello all, I wish to use read.csv to read a google doc spreadsheet. I try using the following code: data_url <- " http://spreadsheets0.google.com/spreadsheet/pub?hl=en&hl=en&key=0AgMhDTVek_sDdGI2YzY2R1ZESDlmZS1VYUxvblQ0REE&single=true&gid=0&output=csv " read.csv(data_url) Which results in the following error: Error in file(file, "rt") : cannot open

Dear R helpers   Some particular analysis leads me to various number of output csv files depending on some conditions. Say e.g. I have output files variable1.csv, variable2.csv, .............. Problem is I don't know how many csv files been generated. They could be 4, 5 or even 10. Each file will have a column called amount.   My problem is to find filewise mean(amount) and sd(amount). I need

I have been trying to import a csv file to r. but I get the same message everytime. the message is Error in file(file, "rt") : cannot open the connection In addition: Warning message: In file(file, "rt") : cannot open file 'Users:/sezginozcan/Downloads/beer.data.csv': No such file or directory I use mac. I tried this command also

My friend sent an Excel file: http://msemac.redwoods.edu/~darnold/temp/cyu01_iqscores.xls http://msemac.redwoods.edu/~darnold/temp/cyu01_iqscores.xls I opened it in Excel, saved is as cyu01_iqscores.csv, then imported it into R with: iqscores=read.csv('cyu01_iqscores.csv',header=TRUE) The result was: > head(iqscores) IQ.Scores X 1 145 NA 2 101 NA 3 123 NA 4

Buen día para todos. Tengo un pequeño problema en el quisiera que me colaboraran. Estos días estoy trabajando en la lectura de una gran cantidad de archivos de extención .csv, se trata de una lista de documentos de 11 estaciones meteorologicas. Cada estación esta clasificada por meses y cada mes por dias, asi que tengo un archivo cada día. Por ejemplo tengo un archivo .csv para el día uno del

I am very new to R and have been struggling trying to read a basic ".csv" file from a password protected site with the following code: myURL ="http://www.frontierweather.com/degreedays/L15N15PowerRegionAverages_10weeks.txt" test2=read.table(url(myURL),header=TRUE,sep=",") A 'data.frame' is returned into the workspace, however it is not the data contained in

I try to load a file myData <- read.csv(file="C:\\myfolder\\mysubfolder\\mydata.csv", head=TRUE, sep=";") and get this error: Error in file(file, "rt") : cannot open the connection In addition: Warning message: In file(file, "rt") : cannot open file 'C:\myfolder\mysubfolder\mydata.csv: No such file or directory am I overlooking something? I am

Can anyone suggest why this file http://www.mediafire.com/?afeyhhpacaq is refusing to open for me.? I must admit I don't know all its history but the original data was taken from an OOo spreadsheet that I edited (good bit of copying and pasting and the month variable added by hand in OOo Calc) and, then,saved as a csv file. It was not originally an English language file as far as I can

Hola. Una manera puede ser tomar una lista de todos los archivos de un directorio y trabajar con ellos, puesto que ciertamente existen. ¿Cómo? Supongamos que tienes una carpeta llena de archivos csv. Entonces, puedes guardar el nombre de tus archivos en un objeto con lista_archivos<-dir() > y esto te dará todos los csv de esa carpeta (si tienes otros archivos también estarán allí, pero

Hi, We at 0xdata use Java and R together, and the new behavior for read.csv has made R unable to read the output of Java?s Double.toString(). This, needless to say, is disruptive for us. (Actually, it was downright shocking.) +1 for restoring old behavior. Thanks, Tom

I've been trying to figure out how to read in a large file for a few days now, and after extensive research I'm still not sure what to do. I have a large comma delimited text file that contains 59 fields in each record. There is also a header every 121 records This function works well for smallish records getcsv=function(fname){ ff=file(description = fname) x <- readLines(ff)

I tried to read a CSV file in R. The file has about 100,000 records and 75 columns. When used read.delim, I got this error. I am using R ver 10.1. > los<-read.delim("file.csv",header=T,sep=",") Warning message: In scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : Reached total allocation of 1535Mb: see help(memory.size) Thanks -- View this message

Hello, I am a complete beginner to R. I use a mac and want to import and read a .csv dataset stored as .csv file. I understand I eventually enter <- read.csv("size.csv", header=T) , but I can't get R to find my file, which is called size.csv and located /Users/davidoconnor/Desktop/Eart-125/size.csv Thank you very much! David -- View this message in context: