R help - Jan 2009 - using time series

Hello,

I'm trying to analyze the behavior of a series of numbers.
Let's say I have the following data: 0 0 0 20 20 20 50 50 53 56 23 24 21 10
0 4 129 159 30 0 0 0 (for example) - these numbers are some measurements
that are taken on equal interval of times (but the specific moment in time
(e.g. spring or march) is not relevant - just equal intervals of time).
What I want to do is based on the past data to be able to predict what will
happen next.
I've been advised to use time series, but I have no idea how to do that in
R.

Can someone suggest a better method than time series and if not - can you
pls suggest some sample R code for predicting using time series?

Thanks!

Best,
Jana

	[[alternative HTML version deleted]]

Try:

library(forecast)
plot(forecast(auto.arima(x)))

On Wed, Jan 21, 2009 at 4:01 AM, Yana Mileva <yanamileva at
googlemail.com> wrote:
> Hello,
>
> I'm trying to analyze the behavior of a series of numbers.
> Let's say I have the following data: 0 0 0 20 20 20 50 50 53 56 23 24
21 10
> 0 4 129 159 30 0 0 0 (for example) - these numbers are some measurements
> that are taken on equal interval of times (but the specific moment in time
> (e.g. spring or march) is not relevant - just equal intervals of time).
> What I want to do is based on the past data to be able to predict what will
> happen next.
> I've been advised to use time series, but I have no idea how to do that
in
> R.
>
> Can someone suggest a better method than time series and if not - can you
> pls suggest some sample R code for predicting using time series?
>
> Thanks!
>
> Best,
> Jana
>
>        [[alternative HTML version deleted]]
>
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