Bubble Chart in R with # of Occurrences / Sums of Values

Question

I\'m playing around with drawing bubble charts in R -- the current project is to graph a bubble chart of political donations that has the following characteristics:

Answer 1

You can use ddply from package plyr here. If your original data.frame was called dfr, then something close to this should work:

result<-ddply(dfr, .(CTRIB_AMT), function(partialdfr){data.frame(amt=partialdfr$CTRIB_AMT[1], sm=sum(partialdfr$CTRIB_AMT), mn=mean(partialdfr$CTRIB_AMT)) })

In fact, a base R solution is also rather simple:

vals<-sort(unique(dfr$CTRIB_AMT))
sums<-tapply( dfr$CTRIB_AMT, dfr$CTRIB_AMT, sum)
counts<-tapply( dfr$CTRIB_AMT, dfr$CTRIB_AMT, length)

I'm sure more elegant solutions exist.