I have a dataset that is based on crop output for a single crop
*sugarcane*...but
each observation is further subdivided into 3 kinds of sugarcane
i have read the file and have also used melt it to sort it on the
basis of *crop
group* using
melt(sugarcane, m=c("Crop_group")) -> canefile
this is how it has cast the data
variable value
1 Crop_group Sugarcane (first ratoon)
2 Crop_group Sugarcane (planted crop)
3 Crop_group Sugarcane (planted crop)
4 Crop_group Sugarcane (second ratoon)
5 Crop_group Sugarcane (first ratoon)
6 Crop_group Sugarcane (planted crop)
now i need to *cast *the data so that i can have each of the 20 odd
variables sorted according to the 3 subdivisions under *Crop_group *ie first
ratoon), second ratoon etc etc..
i tried using
cast (canefile, ~value) -> canefile
but it said "Aggregation requires fun.aggregate: length used as default"
i want to cast it on all the 20 variables and sort it on the basis of first
ratoon, second ratoon and planted crop
How i do my CAST command?
I hope my question is clear...thanks in advance
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