[R] Spatial & Temporal Analysis of Daily Rainfall, Temperature Data

[Bert Gunter]

There are many good R tutorials on the web. Some are listed here:
https://www.rstudio.com/online-learning/#R

But you can search around for others.

If you are unable or unwilling to put in the time and effort to learn
R, there's not much we can do.

Cheers,
Bert


Bert Gunter

"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Tue, Nov 8, 2016 at 10:04 PM, Henry Utila <heutila at gmail.com> wrote:
> Dear R experts,
> I have a problem which I don't seem to get to pass. I want to analyze daily
> rainfall & temperature data with a lot of missing or unavailable points. I
> have been asked to use evd, evir, ismev and geoR packages. I have not used R
> before neither do I know any computer languages let alone programming.
> I was asked to put my data in excel spreadsheet then convert it into tab
> delimited or txt format. The problem am having is importing it into R. it
> says factors are not numeric or something like that with a lot of warnings.
> Would someone kindly advise how I can solve this problem, please.
> Looking forward to your support as R experts.
> Thanks.
> Henry Utila
> MALAWI
>
> -----Original Message-----
> From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Spencer
> Graves
> Sent: Tuesday, 8 November, 2016 2:24 PM
> To: r-help at r-project.org
> Subject: Re: [R] a book recommendation, please [O/T]
>
>        Have you considered Box and Draper (2007) Response Surfaces,
> Mixtures, and Ridge Analyses, 2nd Edition?
>
>
>        You probably know that George Box invented the field of Response
> Surfaces with  Box, G. E. P. and Wilson, K.B. (1951) On the Experimental
> Attainment of Optimum Conditions (with discussion). Journal of the Royal
> Statistical Society Series B13(1):1-45.
>
>
>        This book describes how to design experiments to get the data to
> optimize a physical process.  I haven't been teaching in academia for
> the past 25 years, but I taught an advanced course from the first
> edition of this book when I did.
>
>
>        Still, any title "with R" sounds like it's worth reviewing and
> maybe using.
>
>
>         Spencer Graves
>
>
> On 11/8/2016 12:36 AM, Erin Hodgess wrote:
>> I like BH^2 as well as a reference book!  I actually think I will go with
>> the DOE with R by Larson.  Thanks to all for the help!
>>
>> Sincerely,
>> Erin
>>
>>
>> On Mon, Nov 7, 2016 at 10:59 PM, Bert Gunter <bgunter.4567 at gmail.com>
> wrote:
>>
>>> Have you looked here:
>>>
>>> https://www.amazon.com/s/ref=sr_pg_2?rh=n%3A283155%2Ck%
>>> 3Aexperimental+design&page=2&keywords=experimental+design&
>>> ie=UTF8&qid=1478580868
>>>
>>> I would think your choice depends strongly on the arena of application.
>>>
>>> Of course I like BH^2, but that was because I was taught by them.
>>>
>>> Cheers,
>>> Bert
>>> Bert Gunter
>>>
>>> "The trouble with having an open mind is that people keep coming along
>>> and sticking things into it."
>>> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
>>>
>>>
>>> On Mon, Nov 7, 2016 at 8:13 PM, Erin Hodgess <erinm.hodgess at gmail.com>
>>> wrote:
>>>> Hello!
>>>>
>>>> Could someone recommend a good book on Design of Experiments for a
>>> Master's
>>>> in Data Analytics, please?
>>>>
>>>> I use Montgomery's book for my undergrad course, but was thinking about
>>>> something a little more advanced for this one.
>>>>
>>>> Any help much appreciated, particularly with R-related texts.
>>>>
>>>> Sincerely,
>>>> Erin
>>>>
>>>>
>>>> --
>>>> Erin Hodgess
>>>> Associate Professor
>>>> Department of Mathematical and Statistics
>>>> University of Houston - Downtown
>>>> mailto: erinm.hodgess at gmail.com
>>>>
>>>>          [[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 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.
>