具有R的数据框中的个体的累积总和

Duc*_*uck 1 r

我有一个这样的数据框:

data=data.frame(ID=c("0001","0002","0003","0004","0004","0004","0001","0001","0002","0003"),Saldo=c(10,10,10,15,20,50,100,80,10,10),place=c("grocery","market","market","cars","market","market","cars","grocery","cars","cars"))
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我试图计算ID变量应用cumsum或apply的每个人的aldo总和,但我没有得到我想要的结果.我希望有人这样:

  ID      Saldo.Total
1 0001         190
2 0002          20
3 0003          20
4 0004          85 
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A5C*_*2T1 5

你可以使用aggregate:

> aggregate(Saldo ~ ID, data, function(x) max(cumsum(x))) ## same as sum
    ID Saldo
1 0001   190
2 0002    20
3 0003    20
4 0004    85
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如果您真的对ID 累积金额感兴趣,请尝试以下方法:

within(data, {
  Saldo.Total <- ave(Saldo, ID, FUN = cumsum)
})
#     ID Saldo   place Saldo.Total
# 1  0001    10 grocery          10
# 2  0002    10  market          10
# 3  0003    10  market          10
# 4  0004    15    cars          15
# 5  0004    20  market          35
# 6  0004    50  market          85
# 7  0001   100    cars         110
# 8  0001    80 grocery         190
# 9  0002    10    cars          20
# 10 0003    10    cars          20
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