这是银行对帐单的样本部分:
Category<-c(
"Merchandise",
"Dining",
"Lodging",
"Other Services",
"Dining",
"Merchandise",
"Merchandise",
"Other Services",
"Entertainment",
"Merchandise",
"Merchandise",
"Internet",
"Other Services",
"Merchandise",
"Merchandise",
"Merchandise",
"Other Services",
"Phone/Cable",
"Airfare",
"Airfare",
"Other Services",
"Merchandise",
"Merchandise",
"Internet",
"Other Services",
"Other Services",
"Phone/Cable",
"Other Services",
"Healthcare"
)
Debit<-as.numeric(c(
"26.34",
"4.75",
"9.88",
"31.26",
"8.67",
"64.64",
"5.18",
"15.5",
"10",
"12.93",
"10.02",
"6.95",
"39.93",
"16.39",
"24",
"40.35",
"27.33",
"11.12",
"214.2",
"214.2",
"4",
"86.28",
"19.99",
"19.99",
"13.68",
"205",
"10.96",
"85",
"1525"
))
df<-data.frame(Category,Debit)
输出如下:
Category Debit
1 Merchandise 26.34
2 Dining 4.75
3 Lodging 9.88
4 Other Services 31.26
5 Dining 8.67
6 Merchandise 64.64
7 Merchandise 5.18
8 Other Services 15.50
9 Entertainment 10.00
10 Merchandise 12.93
11 Merchandise 10.02
12 Internet 6.95
13 Other Services 39.93
14 Merchandise 16.39
15 Merchandise 24.00
16 Merchandise 40.35
17 Other Services 27.33
18 Phone/Cable 11.12
19 Airfare 214.20
20 Airfare 214.20
21 Other Services 4.00
22 Merchandise 86.28
23 Merchandise 19.99
24 Internet 19.99
25 Other Services 13.68
26 Other Services 205.00
27 Phone/Cable 10.96
28 Other Services 85.00
29 Healthcare 1525.00
从那里，要查看我在各个类别(例如“商品”)上花费的总金额，我必须这样做:
> sum(df$Debit[which(df$Category=="Merchandise")])
[1] 306.12
但是对每个类别一个一个地做那是很麻烦的。我想知道是否有更简洁的方式来显示它，以便在一列中列出 df$Category 的所有级别，在第二列中列出每个类别的总和。
像这样:
Merchandise 306.12
Other Services 421.7
Phone/Cable 22.08
etc...
有什么建议吗？
最佳答案
在基础 R 中，您可以使用 aggregate():
aggregate(Debit ~ Category, df, FUN = sum)
这给出:
Category Debit
1 Airfare 428.40
2 Dining 13.42
3 Entertainment 10.00
4 Healthcare 1525.00
5 Internet 26.94
6 Lodging 9.88
7 Merchandise 306.12
8 Other Services 421.70
9 Phone/Cable 22.08
关于r - 按 R 中的类别分解银行对帐单，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/43420174/