r - Return df with a columns values that occur more than once -

i have data frame df, , trying subset rows have value in column b occur more once in dataset.

i tried using table it, having trouble subsetting table:

t<-table(df$b) 

then try subsetting using:

subset(df, table(df$b)>1) 

and error

"error in x[subset & !is.na(subset)] : object of type 'closure' not subsettable"

how can subset data frame using table counts?

here dplyr solution (using mrflick's data.frame)

library(dplyr) newd <-  dd %>% group_by(b) %>% filter(n()>1) # newd #    b  # 1  1 1  # 2  2 1  # 3  5 4  # 4  6 4  # 5  7 4  # 6  9 6  # 7 10 6  

or, using data.table

setdt(dd)[,if(.n >1) .sd,by=b] 

or using base r

dd[dd$b %in% unique(dd$b[duplicated(dd$b)]),]