Closed BenjaminBoo closed 11 months ago
The use of .by_group
rather than .group_by
is not a typo. It was done by choice. To be clear, both return the same information, but in a differing arrangement.
For example, using .by_group
returns the following:
game_id week player position team offense_pct
<chr> <int> <chr> <chr> <chr> <dbl>
1 2022_01_BAL_NYJ 1 Ben Powers G BAL 1
2 2022_01_BAL_NYJ 1 Kevin Zeitler G BAL 1
3 2022_01_BAL_NYJ 1 Morgan Moses T BAL 1
4 2022_01_BAL_NYJ 1 Patrick Mekari G BAL 0.57
5 2022_01_BAL_NYJ 1 Tyler Linderbaum C BAL 1
6 2022_01_BAL_NYJ 1 Alijah Vera-Tucker G NYJ 1
7 2022_01_BAL_NYJ 1 Connor McGovern C NYJ 1
8 2022_01_BAL_NYJ 1 George Fant T NYJ 1
9 2022_01_BAL_NYJ 1 Laken Tomlinson G NYJ 1
10 2022_01_BAL_NYJ 1 Max Mitchell T NYJ 1
While using .group_by
returns the following:
game_id week player position team offense_pct
<chr> <int> <chr> <chr> <chr> <dbl>
1 2022_01_IND_HOU 1 A.J. Cann G HOU 1
2 2022_02_HOU_DEN 2 A.J. Cann G HOU 1
3 2022_03_HOU_CHI 3 A.J. Cann G HOU 1
4 2022_04_LAC_HOU 4 A.J. Cann G HOU 1
5 2022_05_HOU_JAX 5 A.J. Cann G HOU 1
6 2022_07_HOU_LV 7 A.J. Cann G HOU 1
7 2022_09_PHI_HOU 9 A.J. Cann G HOU 1
8 2022_10_HOU_NYG 10 A.J. Cann G HOU 0.94
9 2022_11_WAS_HOU 11 A.J. Cann G HOU 1
10 2022_12_HOU_MIA 12 A.J. Cann G HOU 1
Because I am interested in seeing the specific combinations of offensive linemen used by a team, per week, I opted to use .by_group
to see this, rather than group_by
which returns the information on a per-player basis.
Hi, loving this book so far! I ran into a quick issue in section 1.3.1. The code offered is:
oline_snap_counts <- oline_snap_counts %>% group_by(game_id, team) %>% arrange(player, .by_group = TRUE)
but line 3 should use
arrange(player, .group_by = TRUE)
basically the words ".group_by" are just reversed. I was able to figure it out real quick with chat gpt, but in case people want to copy and past without fuss, I thought it would be worth highlighting.
Thanks!