Li Dongfeng <mavip5 at inet.polyu.edu.hk> writes:
> Suppose we have a data file containing:
>
> "Smith, John", 120, 90
> "Thomson, Peter", 110, 85
>
> there are 3 variables in it. If we use
>
> x <- read.table("tmp.txt", sep=",")
>
> to read the data to a data.frame,
> the result will be 4 columns.
> Splus 4.0 have no problem with this kind
> of data.
Splus 3.4 has:
> read.table("data", sep=",")
V2 V3 V4
"Smith John\" 120 90
"Thomson Peter\" 110 85
i.e. 3 variables but with row.names '"Smith' and
'"Thomson'
Or, closer to what R does:
> read.table("data", sep=",",row.names=NULL)
V1 V2 V3 V4
1 \"Smith John\" 120 90
2 \"Thomson Peter\" 110 85
By its definition, this is what sep=',' must do, but it obviously will
not handle all CSV files properly. Anyone want to write a read.csv()
function or something of the sorts? It would be very useful.
--
O__ ---- Peter Dalgaard Blegdamsvej 3
c/ /'_ --- Dept. of Biostatistics 2200 Cph. N
(*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918
~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk) FAX: (+45) 35327907
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