I read from external data source containing several columns. Each column represents value of a metric. The columns are time series data.
I want to sort the resulting dataframe such that the column with the largest mean is the leftmost column, descending in colMean values to the right. I see many solutions for sorting rows based on some column characteristic, but haven't found any discussion of sorting columns based on column characteristics. viz. input data looks like this time met-a met-b met-c 00:00 42 18 99 00:05 88 16 67 00:10 80 27 84 desired output: time met-c met-a met-b 00:00 99 42 18 00:05 67 88 16 00:10 84 80 27 Thanks, -Lynn -- View this message in context: http://www.nabble.com/Howto-sort-dataframe-columns-by-colMeans-tf4380044.html#a12485729 Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@stat.math.ethz.ch 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.
