If, say, we were interested in finding the aggregate values of each Region of the US, we could use aggregate to find the cumulative values on a per region basis. To find the min, max, and mean of each column aggregated by region, we will first add the region value to our DataFrame:
# aggregate state$Region <- state.region ncol(state) aggregate(state[,-c(9,10)], by=list(state$Region), mean, na.rm = T)
Following is the output:
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