I've seen similar posts but I am trying to determine if there is a simpler method for this: 1. Create log10 transformed values of x 2. Process through PROC MEANS to obtain mean, sd, median, min max 3. Raise each of the quantities in (2) to 10**(mean), etc. to get "mean", "SD", "min", and "max" values 4. Calculate dispersion factors -All quantities based on output from Means procedure in step 2 dfplus=(10**mean)+(10**(mean+sd)-10**(mean)); dfminus=(10**mean)-(10**(mean)-10**(mean-sd)); Since I need to calculate grand mean, sd, min, max, dfplus, and dfminus by anaysis category, is there a way I can reduce the number of steps?
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