Something like this could work for you (note that a few other packages would be
faster, such as data.table), but plyr is intuitive.
require(plyr)
# example data set
dat <- data.frame(col1 = rep(c("a","b"), each=5),
col2 = rep(c("prog1","prog2","prog3","prog4","prog5"), 2),
col3 = rnorm(10), co
Hi R Help list
I'm looking to visualise US foreign aid 1946-2009 and I have the dataset for
this. The trouble is it's a bit too complex and I need to simply it
I want to merge all of the rows with the same country together and add up the
individual totals to make one total figure per country
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