由一組中的R串聯列

想我已經得到了這名僱員名單：由一組中的R串聯列

Dept Date  Name    
----- --------- --------------- 
    30 07-DEC-02 Raphaely   
    30 18-MAY-03 Khoo    
    40 07-JUN-02 Mavris   
    50 01-MAY-03 Kaufling   
    50 14-JUL-03 Ladwig   
    70 07-JUN-02 Baer    
    90 13-JAN-01 De Haan 
    90 17-JUN-03 King 
    100 16-AUG-02 Faviet 
    100 17-AUG-02 Greenberg 
    110 07-JUN-02 Gietz   
    110 07-JUN-02 Higgins

我想R中按部門聚集列表（類似於Oracle PL/SQL's LISTAGG function）那會這個產品最後一欄

Dept Date  Name   Emp_list 
----- --------- --------------- --------------------------------------------- 
    30 07-DEC-02 Raphaely  Raphaely; Khoo 
    30 18-MAY-03 Khoo   Raphaely; Khoo 
    40 07-JUN-02 Mavris   Mavris 
    50 01-MAY-03 Kaufling  Kaufling; Ladwig 
    50 14-JUL-03 Ladwig   Kaufling; Ladwig 
    70 07-JUN-02 Baer   Baer 
    90 13-JAN-01 De Haan   De Haan; King 
    90 17-JUN-03 King   De Haan; King 
    100 16-AUG-02 Faviet   Faviet; Greenberg 
    100 17-AUG-02 Greenberg  Faviet; Greenberg 
    110 07-JUN-02 Gietz   Gietz; Higgins 
    110 07-JUN-02 Higgins   Gietz; Higgins

有什麼建議嗎？

來源

2013-12-11 duber

：如果你知道LISTAGG，又算得了什麼問題你面對 –

我正在尋找一個同樣功能在R. – duber

可能重複的[從索引查找重複的數據並將其串在一起]（http://stackoverflow.com/questions/11550889/find-repeated-data-from-index-and-string-it-to-） – Thomas

您可以使用ave和paste：

within(mydf, { 
    Emp_list <- ave(Name, Dept, FUN = function(x) paste(x, collapse = "; ")) 
}) 
# Dept  Date  Name   Emp_list 
# 1 30 07-DEC-02 Raphaely Raphaely; Khoo 
# 2 30 18-MAY-03  Khoo Raphaely; Khoo 
# 3 40 07-JUN-02 Mavris   Mavris 
# 4 50 01-MAY-03 Kaufling Kaufling; Ladwig 
# 5 50 14-JUL-03 Ladwig Kaufling; Ladwig 
# 6 70 07-JUN-02  Baer    Baer 
# 7 90 13-JAN-01 De Haan  De Haan; King 
# 8 90 17-JUN-03  King  De Haan; King 
# 9 100 16-AUG-02 Faviet Faviet; Greenberg 
# 10 100 17-AUG-02 Greenberg Faviet; Greenberg 
# 11 110 07-JUN-02  Gietz Gietz; Higgins 
# 12 110 07-JUN-02 Higgins Gietz; Higgins

來源

2013-12-11 19:10:32 A5C1D2H2I1M1N2O1R2T1

或者plyr：

gr<-read.csv("gr.csv") 
require(plyr) 
merge(gr,ddply(gr,.(Dept),summarise,Emp_List=paste0(Name,collapse="; ")),by="Dept") 

Dept  Date  Name   Emp_List 
1 30 07-DEC-02 Raphaely Raphaely; Khoo 
2 30 18-MAY-03  Khoo Raphaely; Khoo 
3 40 07-JUN-02 Mavris   Mavris 
4 50 01-MAY-03 Kaufling Kaufling; Ladwig 
5 50 14-JUL-03 Ladwig Kaufling; Ladwig 
6 70 07-JUN-02  Baer    Baer 
7 90 13-JAN-01 De Haan  De Haan; King 
8 90 17-JUN-03  King  De Haan; King 
9 100 16-AUG-02 Faviet Faviet; Greenberg 
10 100 17-AUG-02 Greenberg Faviet; Greenberg 
11 110 07-JUN-02  Gietz Gietz; Higgins 
12 110 07-JUN-02 Higgins Gietz; Higgins

來源

2013-12-11 19:11:10 Troy

由一組中的R串聯列

回答

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