- 追加された行はこのように表示されます。
- 削除された行は
このように表示されます。
!ピボットテーブル
table()を参照
!仕訳を集計する
とりあえず仕訳を伝票種類別に整理したいときなど
以下、Groupは伝票種別、Itemは勘定科目、Numは金額とする
library(tidyverse)
Group = c("A","A","B","B","B","C","C","C","C","D","D","D","D")
Item = c("X","Y","X","Y","Z","X","Z","P","Q","X","Y","Z","Z")
Num = c(1,3,5,7,4,3,9,8,1,0,9,4,3)
df = tibble(Group, Item, Num)
#df |> group_by(Group) |> pivot_wider(names_from = Item, values_fn = sum(Num)) #これはエラーになる
df |> pivot_wider(id_cols = Group, names_from = Item, values_from = Num, values_fn = sum)
出力は
# A tibble: 4 × 6
Group X Y Z P Q
<chr> <dbl> <dbl> <dbl> <dbl> <dbl>
1 A 1 3 NA NA NA
2 B 5 7 4 NA NA
3 C 3 NA 9 8 1
4 D 0 9 7 NA NA
# A tibble: 4 × 6
Group X Y Z P Q
<chr> <dbl> <dbl> <dbl> <dbl> <dbl>
1 A 1 3 NA NA NA
2 B 5 7 4 NA NA
3 C 3 NA 9 8 1
4 D 0 9 7 NA NA