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 <John.Kerpel@infores.com> 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
>
>
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>
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> and provide commented, minimal, self-contained, reproducible code.
>

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