Seems like this should be easy, probably is, but I cannot figure out how to get it to work with the melt / stack functions. The reason I want to is, I'm finding that with the data I have, I search for a the row where the string in column 1 == myparameter, then I get the values for columns 2-6, clumsily extract them into an array (because a dataframe row is not a dataArray), then apply the mean function to this array. It would be a lot simpler to have column names that were based on my parameter values. Then i could say "mean(df[:parameter][2:6])" and be done.
I suspect I am missing out on how to use dataframes to make this easy; can someone point me in the right direction? -Reuben -- You received this message because you are subscribed to the Google Groups "julia-stats" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
