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Bert Gunter

2015-Apr-05 16:39 UTC

[R] Aggregating daily rainfall raster data to bimontly data

See ?tapply

However, as John said, without knowing the structure of your data, it
is impossible to provide a guaranteed recipe. For example, does the
data structure contain date information? -- it would be difficult (but
not impossible depending on data structure) to aggregate by calendar
(bi-monthly, depending on your meaning of "bi") without knowing the
months. Aggregating by every n days would be easy, but that's probably
not what you want.

Cheers,
Bert

Bert Gunter
Genentech Nonclinical Biostatistics
(650) 467-7374

"Data is not information. Information is not knowledge. And knowledge
is certainly not wisdom."
Clifford Stoll




On Sun, Apr 5, 2015 at 9:13 AM, John Kane <jrkrideau at inbox.com>
wrote:> Someone might if they had any idea of what the data actually looked like
and what you are trying to do. The 'bimonthly' for example, is ambiguous
in English; do you mean every two months or twice a month?
>
> Have a look at https://github.com/hadley/devtools/wiki/Reproducibility and 
http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
with special attention to dput() as a method of supplying sample data to the
help list.
>
> John Kane
> Kingston ON Canada
>
>
>> -----Original Message-----
>> From: johnwasige at gmail.com
>> Sent: Sun, 5 Apr 2015 11:34:30 +0200
>> To: r-help at r-project.org
>> Subject: [R] Aggregating daily rainfall raster data to bimontly data
>>
>> Dear community,
>>
>> I have daily rainfall raster data for 30 years (1982_2011). I would
like
>> to
>> aggregate daily to bimonthly raster data. Could somebody kindly help on
>> how
>> to go about it!
>>
>> Thanks for your help
>>
>> --
>> John
>>
>>       [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>
> ____________________________________________________________
> FREE ONLINE PHOTOSHARING - Share your photos online with your friends and
family!
> Visit http://www.inbox.com/photosharing to find out more!
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

John Wasige

2015-Apr-05 16:52 UTC

head link

[R] Aggregating daily rainfall raster data to bimontly data

Thanks Bert,

The structure of the data is a raster stack with nraw=867, Ncol=995

Rgds John


On Sun, Apr 5, 2015 at 6:39 PM, Bert Gunter <gunter.berton at gene.com>
wrote:
> See ?tapply
>
> However, as John said, without knowing the structure of your data, it
> is impossible to provide a guaranteed recipe. For example, does the
> data structure contain date information? -- it would be difficult (but
> not impossible depending on data structure) to aggregate by calendar
> (bi-monthly, depending on your meaning of "bi") without knowing
the
> months. Aggregating by every n days would be easy, but that's probably
> not what you want.
>
> Cheers,
> Bert
>
> Bert Gunter
> Genentech Nonclinical Biostatistics
> (650) 467-7374
>
> "Data is not information. Information is not knowledge. And knowledge
> is certainly not wisdom."
> Clifford Stoll
>
>
>
>
> On Sun, Apr 5, 2015 at 9:13 AM, John Kane <jrkrideau at inbox.com>
wrote:
> > Someone might if they had any idea of what the data actually looked
like
> and what you are trying to do. The 'bimonthly' for example, is
ambiguous in
> English; do you mean every two months or twice a month?
> >
> > Have a look at https://github.com/hadley/devtools/wiki/Reproducibility
> and
>
http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
> with special attention to dput() as a method of supplying sample data to
> the help list.
> >
> > John Kane
> > Kingston ON Canada
> >
> >
> >> -----Original Message-----
> >> From: johnwasige at gmail.com
> >> Sent: Sun, 5 Apr 2015 11:34:30 +0200
> >> To: r-help at r-project.org
> >> Subject: [R] Aggregating daily rainfall raster data to bimontly
data
> >>
> >> Dear community,
> >>
> >> I have daily rainfall raster data for 30 years (1982_2011). I
would like
> >> to
> >> aggregate daily to bimonthly raster data. Could somebody kindly
help on
> >> how
> >> to go about it!
> >>
> >> Thanks for your help
> >>
> >> --
> >> John
> >>
> >>       [[alternative HTML version deleted]]
> >>
> >> ______________________________________________
> >> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more,
see
> >> https://stat.ethz.ch/mailman/listinfo/r-help
> >> PLEASE do read the posting guide
> >> http://www.R-project.org/posting-guide.html
> >> and provide commented, minimal, self-contained, reproducible code.
> >
> > ____________________________________________________________
> > FREE ONLINE PHOTOSHARING - Share your photos online with your friends
> and family!
> > Visit http://www.inbox.com/photosharing to find out more!
> >
> > ______________________________________________
> > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
>
	[[alternative HTML version deleted]]

Jeff Newmiller

2015-Apr-05 17:08 UTC

head link

[R] Aggregating daily rainfall raster data to bimontly data

Please stop posting using HTML (as the Posting Guide warns you), and follow John
Kane's advice. Your reply below is not helping us understand as well as you
seem to think it should.
---------------------------------------------------------------------------
Jeff Newmiller                        The     .....       .....  Go Live...
DCN:<jdnewmil at dcn.davis.ca.us>        Basics: ##.#.       ##.#.  Live
Go...
                                      Live:   OO#.. Dead: OO#..  Playing
Research Engineer (Solar/Batteries            O.O#.       #.O#.  with
/Software/Embedded Controllers)               .OO#.       .OO#.  rocks...1k
--------------------------------------------------------------------------- 
Sent from my phone. Please excuse my brevity.

On April 5, 2015 9:52:18 AM PDT, John Wasige <johnwasige at gmail.com>
wrote:>Thanks Bert,
>
>The structure of the data is a raster stack with nraw=867, Ncol=995
>
>Rgds John
>
>
>On Sun, Apr 5, 2015 at 6:39 PM, Bert Gunter <gunter.berton at
gene.com>
>wrote:
>
>> See ?tapply
>>
>> However, as John said, without knowing the structure of your data, it
>> is impossible to provide a guaranteed recipe. For example, does the
>> data structure contain date information? -- it would be difficult
>(but
>> not impossible depending on data structure) to aggregate by calendar
>> (bi-monthly, depending on your meaning of "bi") without
knowing the
>> months. Aggregating by every n days would be easy, but that's
>probably
>> not what you want.
>>
>> Cheers,
>> Bert
>>
>> Bert Gunter
>> Genentech Nonclinical Biostatistics
>> (650) 467-7374
>>
>> "Data is not information. Information is not knowledge. And
knowledge
>> is certainly not wisdom."
>> Clifford Stoll
>>
>>
>>
>>
>> On Sun, Apr 5, 2015 at 9:13 AM, John Kane <jrkrideau at
inbox.com>
>wrote:
>> > Someone might if they had any idea of what the data actually
looked
>like
>> and what you are trying to do. The 'bimonthly' for example, is
>ambiguous in
>> English; do you mean every two months or twice a month?
>> >
>> > Have a look at
>https://github.com/hadley/devtools/wiki/Reproducibility
>> and
>>
>http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
>> with special attention to dput() as a method of supplying sample data
>to
>> the help list.
>> >
>> > John Kane
>> > Kingston ON Canada
>> >
>> >
>> >> -----Original Message-----
>> >> From: johnwasige at gmail.com
>> >> Sent: Sun, 5 Apr 2015 11:34:30 +0200
>> >> To: r-help at r-project.org
>> >> Subject: [R] Aggregating daily rainfall raster data to
bimontly
>data
>> >>
>> >> Dear community,
>> >>
>> >> I have daily rainfall raster data for 30 years (1982_2011). I
>would like
>> >> to
>> >> aggregate daily to bimonthly raster data. Could somebody
kindly
>help on
>> >> how
>> >> to go about it!
>> >>
>> >> Thanks for your help
>> >>
>> >> --
>> >> John
>> >>
>> >>       [[alternative HTML version deleted]]
>> >>
>> >> ______________________________________________
>> >> R-help at r-project.org mailing list -- To UNSUBSCRIBE and
more, see
>> >> https://stat.ethz.ch/mailman/listinfo/r-help
>> >> PLEASE do read the posting guide
>> >> http://www.R-project.org/posting-guide.html
>> >> and provide commented, minimal, self-contained, reproducible
code.
>> >
>> > ____________________________________________________________
>> > FREE ONLINE PHOTOSHARING - Share your photos online with your
>friends
>> and family!
>> > Visit http://www.inbox.com/photosharing to find out more!
>> >
>> > ______________________________________________
>> > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more,
see
>> > https://stat.ethz.ch/mailman/listinfo/r-help
>> > PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> > and provide commented, minimal, self-contained, reproducible code.
>>
>
>	[[alternative HTML version deleted]]
>
>______________________________________________
>R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>https://stat.ethz.ch/mailman/listinfo/r-help
>PLEASE do read the posting guide
>http://www.R-project.org/posting-guide.html
>and provide commented, minimal, self-contained, reproducible code.

R help - Apr 2015 - Aggregating daily rainfall raster data to bimontly data

[R] Aggregating daily rainfall raster data to bimontly data

[R] Aggregating daily rainfall raster data to bimontly data

[R] Aggregating daily rainfall raster data to bimontly data