Question

I have a data.frame with several columns (17).
Column 2 have several rows with the same value, I want to keep only one of those rows, specifically the one that has the maximum value in column 17.

For example:

A    B
'a'  1
'a'  2
'a'  3
'b'  5
'b'  200

Would return
A    B
'a'  3
'b'  200

(plus the rest of the columns)

So far I’ve been using the unique function, but I think it randomly keeps one or keeps just the first one that appears.

** UPDATE **
The real data has 376000 rows. I’ve tried the data.table and ddply suggestions but they take forever. Any idea which is the most efficient?

Answer 1

A solution using package data.table:

set.seed(42)
dat <- data.frame(A=c('a','a','a','b','b'),B=c(1,2,3,5,200),C=rnorm(5))
library(data.table)

dat <- as.data.table(dat)
dat[,.SD[which.max(B)],by=A]

   A   B         C
1: a   3 0.3631284
2: b 200 0.4042683