Re: [R] doubt in climate variability analysis in R! - code
Ok I downloaded it and showed you how to get your data out. How to read it into a raster brick, how to plot the data, how to get the mean rainfall of every day.lots more you can do. there is a bad bit of data in the last time step. check my blog. In the future what you should do is write code to emulate your problem. for example, in your problem you had created a ncdf file with a 3D matrix of 65,69,2192. You should just do a subset of that, show the code to create a ncdf with random numbers in it. creating working code that emulates your problem is key if you want help. Off list for the rest. On Sun, Oct 31, 2010 at 10:21 AM, wrote: > > > I am sorry, i think the link was broken..! here is the correct one!!! > > http://www.4shared.com/file/4zV0g3JR/RF_80-85.html > > >[[alternative HTML version deleted]] > > __ > R-help@r-project.org mailing list > 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@r-project.org mailing list 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.
Re: [R] doubt in climate variability analysis in R! - code
I am sorry, i think the link was broken..! here is the correct one!!! http://www.4shared.com/file/4zV0g3JR/RF_80-85.html [[alternative HTML version deleted]] __ R-help@r-project.org mailing list 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.
Re: [R] doubt in climate variability analysis in R! - code included!
--- Begin Message --- I am sorry, i think the link was broken..! here is the correct one!!![1] http://www.4shared.com/file/4zV0g3JR/RF_80-85.html -- Regards, Mahalakshmi Graduate Student #20, Department of Geography Michigan State University East Lansing, MI 48824 Quoting "Nordlund, Dan (DSHS/RDA)" : >> -Original Message- >> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r- >> project.org] On Behalf Of govin...@msu.edu >> Sent: Friday, October 29, 2010 11:56 AM >> To: r-help@r-project.org >> Subject: Re: [R] doubt in climate variability analysis in R! - code >> included! >> >> >> >> the following code was used >> >> library(akima) >> library(clim.pact) >> nc.1 <- "RF_80-05.nc" >> nc.rf.in <- open.ncdf(nc.1) >> >> x1 <- retrieve.nc(nc.1, v.nam="Rainfall",l.scale=FALSE, x.rng=c(70, >> 80), y.rng=c(10, 13.5)) >> >> #dimension is checked for the subset. (lon, lat, time) is changed as >> (time, lat, lon) >> >dim(x1$dat) >> #[1] 2192   8  20 >> >> My question is - how can i convert this array into a dataframe so that >> i have "lat", "lon", "precipitation values" in 3 different columns >> (note, I will have it for just a single day). So, my expected dataframe >> will have rainfall values for each given pair of "lon" and "lat". >> >> Or is there any other better way to do my spatial variogram analysis >> for a single day given the above dataset? >> >> here is the link for the dataset. >> [2]HTTP://WWW.4SHARED.COM/FILE/4ZV0G3JR/RF_80-85.HTML >> > > The link to the data did not work, so we still don't have a > self-contained, reproducible example. > > Dan > > Daniel J. Nordlund > Washington State Department of Social and Health Services > Planning, Performance, and Accountability > Research and Data Analysis Division > Olympia, WA 98504-5204 > > > References 1. http://www.4shared.com/file/4zV0g3JR/RF_80-85.html 2. http://WWW.4SHARED.COM/FILE/4ZV0G3JR/RF_80-85.HTML --- End Message --- __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] doubt in climate variability analysis in R! - code included!
> -Original Message- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r- > project.org] On Behalf Of govin...@msu.edu > Sent: Friday, October 29, 2010 11:56 AM > To: r-help@r-project.org > Subject: Re: [R] doubt in climate variability analysis in R! - code > included! > > > > the following code was used > > library(akima) > library(clim.pact) > nc.1 <- "RF_80-05.nc" > nc.rf.in <- open.ncdf(nc.1) > > x1 <- retrieve.nc(nc.1, v.nam="Rainfall",l.scale=FALSE, x.rng=c(70, > 80), y.rng=c(10, 13.5)) > > #dimension is checked for the subset. (lon, lat, time) is changed as > (time, lat, lon) > >dim(x1$dat) > #[1] 2192 8 20 > > My question is - how can i convert this array into a dataframe so that > i have "lat", "lon", "precipitation values" in 3 different columns > (note, I will have it for just a single day). So, my expected dataframe > will have rainfall values for each given pair of "lon" and "lat". > > Or is there any other better way to do my spatial variogram analysis > for a single day given the above dataset? > > here is the link for the dataset. > HTTP://WWW.4SHARED.COM/FILE/4ZV0G3JR/RF_80-85.HTML > The link to the data did not work, so we still don't have a self-contained, reproducible example. Dan Daniel J. Nordlund Washington State Department of Social and Health Services Planning, Performance, and Accountability Research and Data Analysis Division Olympia, WA 98504-5204 __ R-help@r-project.org mailing list 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.
Re: [R] doubt in climate variability analysis in R! - code included!
the following code was used library(akima) library(clim.pact) nc.1 <- "RF_80-05.nc" nc.rf.in <- open.ncdf(nc.1) x1 <- retrieve.nc(nc.1, v.nam="Rainfall",l.scale=FALSE, x.rng=c(70, 80), y.rng=c(10, 13.5)) #dimension is checked for the subset. (lon, lat, time) is changed as (time, lat, lon) >dim(x1$dat) #[1] 2192 8 20 My question is - how can i convert this array into a dataframe so that i have "lat", "lon", "precipitation values" in 3 different columns (note, I will have it for just a single day). So, my expected dataframe will have rainfall values for each given pair of "lon" and "lat". Or is there any other better way to do my spatial variogram analysis for a single day given the above dataset? here is the link for the dataset. HTTP://WWW.4SHARED.COM/FILE/4ZV0G3JR/RF_80-85.HTML -- Regards, Mahalakshmi Graduate Student #20, Department of Geography Michigan State University East Lansing, MI 48824 Quoting govin...@msu.edu: > > > 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]] __ R-help@r-project.org mailing list 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.
