Hi:
One (of many) ways is to use the aggregate() function in base R:
df <- data.frame(g = rep(LETTERS[1:5], each = 5), y = rnorm(25))
aggregate(y ~ g, data = df, FUN = sum)
g y
1 A -1.3165949
2 B 1.9850015
3 C -0.6460323
4 D -1.6459293
5 E 6.7001807
HTH,
Dennis
On Sun, Feb 13, 201
This is a seemingly simple problem, but I'm unable to make any progress. I
have a large dataset, within it there is a column of location names, some of
which repeat; the adjacent column lists values for each location name. I
need to sum the values which correspond to the same location name, retur
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