我有如下所述的数据集:
df=data.frame(Supplier_id=c("1","2","7","7","7","4","5","8","12","7"), Supplier=c("Tian","Yan","Goldy","Goldy","Goldy","Amy","Lauren","Cassy","Shaan","Goldy"),Date=c("1/17/2019","4/30/2019","11/29/2018","11/29/2018","11/29/2018","5/21/2018","5/23/2018","5/24/2018","6/15/2018","6/20/2018"),Buyer=c("Unclassified","Unclassified","Kelly","Kelly","Kelly","Kelly","Amanda","Echo","Shao","Shao"))
df$Supplier_id=as.numeric(as.character(df$Supplier_id))因此,df如下所示:
| Supplier_id | Supplier | Date | Buyer |
|-------------|----------|------------|--------------|
| 1 | Tian | 1/17/2019 | Unclassified |
| 2 | Yan | 4/30/2019 | Unclassified |
| 7 | Goldy | 11/29/2018 | Kelly |
| 7 | Goldy | 11/29/2018 | Kelly |
| 7 | Goldy | 11/29/2018 | Kelly |
| 4 | Amy | 5/21/2018 | Kelly |
| 5 | Lauren | 5/23/2018 | Amanda |
| 8 | Cassy | 5/24/2018 | Echo |
| 12 | Shaan | 6/15/2018 | Shao |
| 7 | Goldy | 6/20/2018 | Shao |现在,我希望筛选出对每个唯一买家只发生一次的Supplier_id。例如,在上面的数据集中,Supplier_id '1‘和'2’属于‘未分类’买方,但是由于它们有不同的in,所以我不希望它们出现在我的最终输出中。然而,当我们看买家‘凯利’,它有两个supplier_ids,'7‘和'4',其中,'7’发生了3次,'4‘只有一次。因此,输出表应该具有supplier_id='7‘的记录。分组应以“买方”为基础。因此,需要注意的是,由于supplier_id '7‘同时存在于'Kelly’和'Shao',但是对于这两个买家来说,它应该是不同的分组,而不是一起考虑。
预期产出应是:
| Supplier_id | Supplier | Date | Buyer_id |
|-------------|:--------:|-----------:|----------|
| 7 | Goldy | 11/29/2018 | Kelly |
| 7 | Goldy | 11/29/2018 | Kelly |
| 7 | Goldy | 11/29/2018 | Kelly |我试过使用group_by和filter,但这不起作用,因为每个买家都会有不同的supplier_id _id,我也尝试过使用重复的,但不确定如何为每个买家分组supplier_id。
df <-df %>% group_by(Buyer) %>% filter(Supplier_id>1)还有这个
df2=df[duplicated(df[1]) | duplicated(df[1], fromLast=TRUE),]编辑:原始数据集有许多这样的实例,每个买方都有n个不同的supplier_id。获得所需输出的其他方法是什么?
发布于 2019-09-10 18:23:26
我觉得你需要-
df %>% group_by(Supplier_id, Buyer) %>% filter(n() > 1)https://stackoverflow.com/questions/57876331
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