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dstreg
2009 Mar 13
2
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...