r - How to drop non-unique rows based on multiple columns -

i have data frame:

data.frame(name= c("b","d","d","e"),date=as.date(c("2015-01-01","2015-01-02","2015-02-02","2015-03-02")),s=c("e","b","b","g"),num=c(1,2,2,3))    name     date   s  num 1    b 2015-01-01 e   1 2    d 2015-01-02 b   2 3    d 2015-02-02 b   2 4    e 2015-03-02 g   3 

and want drop rows not unique in case above want drop rows 2 & 3 because have same values name, date, s & num. results be:

 name     date   s  num 1    b 2015-01-01 e   1 2    e 2015-03-02 g   3 

any ideas?

if understand correctly have remove rows seen duplicated

df1[!duplicated(df1) & !duplicated(df1, fromlast = true) ,] 

using data:

df1  <-    data.frame(     name= c("b","d","d","e"),     date=as.date(c("2015-01-01","2015-01-02","2015-01-02","2015-03-02")),     s=c("e","b","b","g"),     num=c(1,2,2,3)) 

the result is

#   name       date s num # 1    b 2015-01-01 e   1 # 4    e 2015-03-02 g   3