Hello, I have a matrix in which two variables, x and y, are used together to determine z. The variables x and y are sorted into classes. Specifically, values for variable x range from 0 to 2.7 and are sorted into class increments of 0.15 and variable y ranges from 0-2100 with class increments of 100. For each x-y class combination, I have calculated a mean value of z from existing data. However there are gaps in the existing data (i.e., x-y combinations for which there are no z data). I would like to interpolate values to fill in these missing datapoints, but have so far been unable to find a straightforward way of doing so in R. There are many gaps in the data and I need to repeat this process for several individual datasets. That said, I am looking for a way to avoid interpolating each missing point separately.
Any suggestions would be greatly appreciated. Regards, Jessica Schedlbauer ______________________________________________ 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.
