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
Here is one way of doing it by 'skipping' the first column which is a
factor and your 'time':
x - read.table(textConnection( time met-amet-bmet-c
+ 00:0042 18 99
+ 00:0588 16 67
+ 00:1080 27 84), header=TRUE)
x.mean -