The code below should group the data by year and then create two new columns with the first and last value of each year.
library(dplyr)
set.seed(123)
d <- data.frame(
group = rep(1:3, each = 3),
year = rep(seq(2000,2002,1),3),
value = sample(1:9, r = T))
d %>%
group_by(group) %>%
mutate(
first = dplyr::first(value),
last = dplyr::last(value)
)
However, it does not work as it should. The expected result would be
group year value first last
<int> <dbl> <int> <int> <int>
1 1 2000 3 3 4
2 1 2001 8 3 4
3 1 2002 4 3 4
4 2 2000 8 8 1
5 2 2001 9 8 1
6 2 2002 1 8 1
7 3 2000 5 5 5
8 3 2001 9 5 5
9 3 2002 5 5 5
Yet, I get this (it takes the first and the last value over the entire data frame, not just the groups):
group year value first last
<int> <dbl> <int> <int> <int>
1 1 2000 3 3 5
2 1 2001 8 3 5
3 1 2002 4 3 5
4 2 2000 8 3 5
5 2 2001 9 3 5
6 2 2002 1 3 5
7 3 2000 5 3 5
8 3 2001 9 3 5
9 3 2002 5 3 5
dplyr
– akrunsummarize
instead of mutate? – Bishops_Guestplyr::mutate
instead ofdplyr::mutate
. However "does not work as intended" is so vague of a description that it's impossible to know... – Gregor Thomas