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different outcomes using read.table vs read.csv

jatwood 
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

Thread (3 messages)

jatwood different outcomes using read.table vs read.csv Mar 13 Barry Rowlingson different outcomes using read.table vs read.csv Mar 13 Jason Rupert different outcomes using read.table vs read.csv Mar 13