I need to create a big data set out of 3 smaller ones. Each small data set is arranged by year!
Each smaller data set is for a certain small geographic area. The big data should represent a large area that contains these smaller areas. The problem is that some of the smaller data sets are missing years so can't just be added together. I have considered taking averages, if there are two available for a year take the midpoint, if there are three take the average of three, and if there is one just use that one, but I'm not sure if this is a good idea or not! Someone has suggested to me that one of the areas represents the entire area better then the rest. Any suggestions or opinions on how to form this data set? Thanks in advance, Kay . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
