Message-ID: <200903132032.n2DKWe3I649873@pollux.msu.montana.edu>
Date: 2009-03-13T20:32:03Z
From: jatwood
Subject: different outcomes using read.table vs read.csv
Good Afternoon
I have noticed results similar to the following several times as I
have used R over the past several years.
My .csv file has a header row and 3073 rows of data.
> rskreg<-read.table('D:/data/riskregions.csv',header=T,sep=",")
> dim(rskreg)
[1] 2722 13
> rskreg<-read.csv('D:/data/riskregions.csv',header=T)
> dim(rskreg)
[1] 3073 13
>
Does someone know what could be causing the read.table and read.csv
functions to give different results on some occasions? The
riskregions.csv file was generated with and saved from MS.Excel.
Joe A