R help - Nov 2011 - Creating Timeseries by manipulating data table

Hi,

I'm new to R and tried a search but couldn't find what I was looking
for.

I have some data as a csv file with columns:-

longditude latitude year month rainfall region

What I need to do is produce a monthly time series for each region, where
region is an integer id and where each time point in the series is the
monthly average of rainfall for each location in that region.

Basically I know how to read the data as:-

raindata<-read.csv("Rainfall.csv")

but have no idea how to create the timeseries using R.

Any help would be appreciated.

Thanks

Chuske

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It's a big subject and various mechanisms exist, but you should
probably start by looking into the zoo package and the read.zoo()
function.

Hope that helps,

Michael

On Tue, Nov 15, 2011 at 8:03 AM, Chuske <jrm212 at ex.ac.uk>
wrote:
> Hi,
>
> I'm new to R and tried a search but couldn't find what I was
looking for.
>
> I have some data as a csv file with columns:-
>
> longditude latitude year month rainfall region
>
> What I need to do is produce a monthly time series for each region, where
> region is an integer id and where each time point in the series is the
> monthly average of rainfall for each location in that region.
>
> Basically I know how to read the data as:-
>
> raindata<-read.csv("Rainfall.csv")
>
> but have no idea how to create the timeseries using R.
>
> Any help would be appreciated.
>
> Thanks
>
> Chuske
>
> --
> View this message in context:
http://r.789695.n4.nabble.com/Creating-Timeseries-by-manipulating-data-table-tp4042875p4042875.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
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> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>