That info along with drop=FALSE seems to be a reasonable hack.
Thanks again-
David
Gabor Grothendieck wrote:
>
> You can use names using your example ts series like this
>
> x[, "Juan"]
>
>
> On Sat, Oct 3, 2009 at 11:04 AM, David Stoffer
> wrote:
>>
>> Thanks for the help. My basic prob
You can use names using your example ts series like this
x[, "Juan"]
On Sat, Oct 3, 2009 at 11:04 AM, David Stoffer wrote:
>
> Thanks for the help. My basic problem is that I have given my series names,
> but I still have to call them number 1, 2, and so on, to do things with
> them. If I wa
Thanks for the help. My basic problem is that I have given my series names,
but I still have to call them number 1, 2, and so on, to do things with
them. If I want to compare "GNP" with "Private Investment", I have to
remember which columns contains those series.
The concern I have is that I'm
zoo objects can have one column with a heading and convert back
faithfully to ts:
> library(zoo)
> as.zoo(x)[, 1, drop = FALSE]
Juan
1(1) -0.37415224
1(2) -0.30875111
1(3) -0.02617545
1(4) -0.45053564
2(1) 0.15173749
2(2) 1.38545761
2(3) 2.11594058
2(4) -0.84970010
3(1) -0.05944844
Suppose I have multiple time series with names for each one, for example,
x <- ts(matrix(rnorm(30,0,1),10,3), names=c("Juan", "Tuey", "Trey"),
frequency=4)
So now, as I start to explore these series, if I do everything at once, the
names
stay attached to the series. For example,
plot(x) # gives
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