John,
I suspect that Patrick is right.
send us a str(df) to we see how your data frame looks like
kind regards
miltinho astronaura
brazil
On 8/1/08, Kerpel, John <[EMAIL PROTECTED]> wrote:
>
> Hi Folks!
>
>
>
> I used the code below previously with no problems, but now I get:
>
>
>
> DTB3<-read.table("C:\\Program
> Files\\R\\R-2.7.1\\DTB3.csv",header=TRUE,sep=",")
>
> > tail(DTB3)
>
> DATE VALUE
>
> 14233 2008-07-23 1.56
>
> 14234 2008-07-24 1.62
>
> 14235 2008-07-25 1.71
>
> 14236 2008-07-28 1.70
>
> 14237 2008-07-29 1.69
>
> 14238 2008-07-30 1.67
>
> > DTB3<-as.timeSeries(DTB3)
>
> > tail(DTB3)
>
> TS.1
>
> 2008-07-23 100
>
> 2008-07-24 106
>
> 2008-07-25 115
>
> 2008-07-28 114
>
> 2008-07-29 113
>
> 2008-07-30 111
>
>
>
> What might be causing the values to change when I go from read.table to
> as.timeSeries?
>
>
>
> Many thanks.
>
>
>
> John
>
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
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> PLEASE do read the posting guide
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> and provide commented, minimal, self-contained, reproducible code.
>
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