List: I have 2 related questions:
(1) first I have x-y-z data, where x & y are the geographic locations of point values, z. I need to perform a normal score transform on the z-values and maintain their geographic location. So, how do I go from columns x-y-z to x-y-z-t (or x-y-t), where the t-values are the normal score transforms of the z-values? Can I use qnorm(ppoints(data)) to do this; how? (2) I also need to do a reverse transform of a matrix of normal score values (v) to my original data value units; I have seen that I can use something like approx(t, x, v)$y. Again, the matrix represents a spatial grid. So, how do I maintain the same spatial ordering resulting from the reverse transform? Thank you for your help. Regards, Tom -- Thomas E Adams National Weather Service Ohio River Forecast Center 1901 South State Route 134 Wilmington, OH 45177 EMAIL: [EMAIL PROTECTED] VOICE: 937-383-0528 FAX: 937-383-0033 ______________________________________________ [email protected] 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.
