[R] format of data for use in clim.pact
Goodmorning everyone! Just a quick question: I want to apply eof analysis and downscaling using the clim.pact package. What form should my data have? Only netCDF? Right now my data are of the form of ascii files for each month with 3 columns corresponding to latitude, longitude and value of my observations. Any idea on how to handle them would be welcome. Thanks a lot Isidora __ R-help@stat.math.ethz.ch 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] Excluding columns from dataframe and selecting row records
check out 'cbind' to select columns. regards Isidora __ R-help@stat.math.ethz.ch 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] merging tables by columns AND rows
Some of the coordinates might not match and also I do not have the same number of observations in every table but I want to get only the common ones back. This is where it gets tricky!I have tried merge, scan and every joining function I could find but nothing seems to do what I want. the R-sig-geo mailing list sounds like a good idea! Thank you! __ R-help@stat.math.ethz.ch 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.
[R] merging tables by columns AND rows
Hi everyone! I have 100 tables of the form: XCOORD,YCOORD,OBSERVATION 27.47500,42.52641,177 27.48788,42.52641,177 27.50075,42.52641,179 27.51362,42.52641,178 27.52650,42.52641,180 27.53937,42.52641,178 27.55225,42.52641,181 27.56512,42.52641,177 27.57800,42.52641,181 27.59087,42.52641,181 27.60375,42.52641,180 27.61662,42.52641,181 ..., ..., ... with approximately 100 observations for each. All these tables have the same xcoord and ycoord and I would like to get a table of the form XCOORD,YCOORD,OBSERVATION1,OBSERVATION2,... 27.47500,42.52641,177,233,... 27.48788,42.52641,177,345,... 27.50075,42.52641,179,233,... 27.51362,42.52641,178,123,... 27.52650,42.52641,180,178,... 27.53937,42.52641,178,...,... 27.55225,42.52641,181,... 27.56512,42.52641,177,... 27.57800,42.52641,181,... 27.59087,42.52641,181,... 27.60375,42.52641,180,... 27.61662,42.52641,181,... In other words I would like to merge all the tables taking into account the common row names of their xcoords AND ycoords. Is there any way to do this in R? I would be grateful for any advice. Many Thanks Isidora __ R-help@stat.math.ethz.ch 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] EOF and CCA analysis
I have got windows and 1Gb ram. my matrices are monthly data for 10 years for sometimes more than 10,000 locations. I am going to perform the EOF on one variable at a time and then the CCA on the principal components that I will get from EOF. Do you think I could do that in R?I could also find a macintosh I could work with or get more RAM if you think this will cause problems, but I am more concerned with the software limitations if any! thank you so much for your help. Kind Regards Isidora __ R-help@stat.math.ethz.ch 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.
[R] EOF and CCA analysis
Hello! I would like to do Empirical Orthogonal functions and Canonical correlation analysis on satellite data. My matrices are going to be very big (more than 10,000 locations). Are there limitations in R regarding the size of the matrix? thanks a lot regards Isidora __ R-help@stat.math.ethz.ch 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.