I need to fill a new column based on the max values per group.
So I have
A B C
1 1 0
1 9 0
2 5 0
2 10 0
2 15 0
3 1 0
3 2 0
4 5 0
4 6 0
I need to fill $C with 1 for each maximum value in $B per grouping of $A
So:
A B C
1 1 0
1 9 1
2 5 0
2 10 0
2 15 1
3 1 0
3 2 1
4 5 0
4 6 1
Appreciate the help
We can use base R ave
to match maximum value in each group
df$C <- +(with(df, B == ave(B, A, FUN = max)))
df
# A B C
#1 1 1 0
#2 1 9 1
#3 2 5 0
#4 2 10 0
#5 2 15 1
#6 3 1 0
#7 3 2 1
#8 4 5 0
#9 4 6 1
The same in dplyr
would be
library(dplyr)
df %>%
group_by(A) %>%
mutate(C = +(B == max(B)))
We can also match it with index of maximum value
df$C <- with(df, ave(B, A, FUN = function(x) seq_along(x) == which.max(x)))
and
df %>%
group_by(A) %>%
mutate(C = +(row_number() == which.max(B)))
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