Obtain count of unique combination of columns in R dataframe without eliminating the duplicate columns from the data -

i have following data :

      b   c   d     e   1 130 288   6   80    57299   2 288 130   6   57299 80   3 288 130   6   57299 80   4 288 130   6   57299 80   5 288 130   6   57299 80   6 288 130   6   57299 80   7 288 130   6   57299 80    8 288 130   6   57299 80     9 288 130   6   57299 80  10 130 288   6   80    57299  

i want obtain count of unique combination of these columns , append frequency column existing dataframe without eliminating duplicate rows. following want

      b   c    d     e      freq  1 130 288   6   80    57299  2  2 288 130   6   57299 80     8  3 288 130   6   57299 80     8  4 288 130   6   57299 80     8  5 288 130   6   57299 80     8  6 288 130   6   57299 80     8  7 288 130   6   57299 80     8  8 288 130   6   57299 80     8  9 288 130   6   57299 80     8 10 130 288   6   80    57299  2 

trying df_0 <- count(df, a,b,c,d,e) %>% ungroup() gives me

       b   c    d     e      freq  1 130 288   6   80    57299  2  2 288 130   6   57299 80     8 

by eliminating duplicates.

how go this?

r dplyr mutate

dat%>%group_by_(.dots=names(dat))%>%dplyr::mutate(freq=n()) 

python transform

df['freq']=df.groupby(list(df))['a'].transform('count')