Duplikate suchen unter verschachtelten df

Question

ich einen Datenrahmen haben etwa so:

df<- data.frame(region= c("1","1","1","1","2","2","2","3","3", "4", 
"4"), 
loc=c("1A","1A","1B","1C","2A","2B","2C","3A","3B","4A","4B"), sp1= 
c("a","a","b","a","c","c","c","a","a","d","d"), sp2= 
c("b","b","c","b","d","d","d","b","b", "e","e"), inter= 
c("a_b","a_b","b_c","a_b","c_d","c_d","c_d","a_b","a_b", 
"d_e","d_e")) 

Ich mag würde der Teilmenge df nach Regionen erste und finden inter innerhalb jeder region duplizieren. Dann möchte ich Duplikat inter unter allen Regionen finden. Die erste Teilmenge würde wie folgt aussehen:

subset1<- data.frame(region=c("1","2","3","4"), sp1= c("a", "c", "a", 
"d"),sp2= c("b", "d", "b", "e"), inter= c("a_b", "c_d", "a_b", 
"d_e")) 

Und die letzte Ausgabe aussehen würde:

df<- data.frame(sp1= c("a"), sp2= c("b"), inter=c("a_b")) 

Answer 1

Try this (just need to drop some columns to meet your goal): 

#1 
df=df%>%group_by(region,inter)%>%dplyr::mutate(n=n())%>%filter(row_number()==n()&n>1) 

> df 
Source: local data frame [4 x 6] 
Groups: region, inter [4] 

    region loc sp1 sp2 inter  n 
    <fctr> <fctr> <fctr> <fctr> <fctr> <int> 
1  1  1C  a  b a_b  3 
2  2  2C  c  d c_d  3 
3  3  3B  a  b a_b  2 
4  4  4B  d  e d_e  2 
#2 
df%>%group_by(inter)%>%dplyr::mutate(n=n())%>%filter(row_number()==n()&n>1) 

Source: local data frame [1 x 6] 
Groups: inter [1] 

    region loc sp1 sp2 inter  n 
    <fctr> <fctr> <fctr> <fctr> <fctr> <int> 
1  3  3B  a  b a_b  2 

Answer 2

innerhalb jeder Region Für die Duplikate: Mit dplyr, filter zu Duplikaten innerhalb der Region, und dann distinct Region -Inter Kombinationen:

library(dplyr) 

within_region <- df %>% 
    group_by(region) %>% 
    filter(duplicated(inter)) %>% 
    distinct(region, inter, .keep_all = TRUE) 

# region loc sp1 sp2 inter 
# 1  1  1A  a  b a_b 
# 2  2  2B  c  d c_d 
# 3  3  3B  a  b a_b 
# 4  4  4B  d  e d_e 

für eine Anzahl von inter Duplikate unter allen Regionen:

all_region <- df %>% 
    count(inter) 

# inter  n 
# 1 a_b  5 
# 2 b_c  1 
# 3 c_d  3 
# 4 d_e  2