[R] doubt in climate variability analysis in R!

[Daniel Nordlund]

> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
> On Behalf Of govindas at msu.edu
> Sent: Friday, October 29, 2010 8:33 AM
> To: r-help at r-project.org
> Subject: [R] doubt in climate variability analysis in R!
> 
> 
> 
> Hello all,
> 
> I  am trying to use "clim.pact" package for my work, but since this is
> the  beginning for me to use gridded datasets in "R", I am having some
> trouble.
> 
> I want to do seasonal analyses like   trends, anomalies, variograms, EOF
> and probably kriging too to   downscale my 1 degree gridded data to 0.5.
> So, as a first step, I   compiled my entire dataset (with 25 yeears of
> daily dataset which were   present as 25 files) into a single netcdf file.
> 
> Then, I downloaded clim.pact to do further analysis, which works but
> seems  to change dataset's original dimensions' order for  "retrieve.nc"
> function (i.e. original lon, lat, time order was changed  to time,  lat,
> lon after using this function to get a subset). I am not  sure as  to why
> this happened and not able to get any plots such as box  plot  (showing
> trend in "lon", "lat", "time"), variogram (or variance),   correlation
> analysis done because of this conversion problem.
> 
> Further, basic "R"  functions seem to work well with objects such as
> dataframe, matrix ..etc  with time in a separate column, and the data
> values (precipitation, or  temperature) in a separate coulmn with
> corresponding station values  (lon/lat). So, now I have very little idea
> about what I have to do. Can anyone suggest me a better (probably  more
> refined way) way than what I am currently doing to analyze these  data?
> 
> 
> 
> --
> Regards,
> Mahalakshmi
> Graduate Student
> #20, Department of Geography
> Michigan State University
> East Lansing, MI 48824
> 	[[alternative HTML version deleted]]

You should read the posing guide referenced at the bottom of every email.  It will tell you how to ask questions and what information you need to provide in order to get useful help.  At a minimum, we need a self-contained reproducible example that demonstrates the problem you are having.  Provide say 10 observations and the code you used to subset the data, and maybe someone can help you with a solution.

Dan

Daniel Nordlund
Bothell, WA USA