r - Filter rows based on a threshold by grouping ID column -


i have data frame got from

id <- c("a","a","a","b","b","b","c","c","c")  type <- c(45,46,47,45,46,47,45,46,47) point_a <- c(10,15,20,8,9,10,35,33,39)  df <- data.frame(id,type,point_a)      id  type    point_a  1     45        10     2     46        15     3     47        20     4   b   45        8     5   b   46        9     6   b   47        10     7   c   45        35     8   c   46        33     9   c   47        39

i want calculate median of point_a column grouping id , remove rows based on threshold.

for example, lets threshold 11. want remove rows grouped id having median less threshold , desired output 

    id  type    point_a  1     45        10     2     46        15     3     47        20     4   c   45        35     5   c   46        33     6   c   47        39

while able calculate medians not knowing how remove rows. 

func <- function(x) (median(x,na.rm=true)) df1 <- df %>%    group_by(id) %>%    mutate_each(funs(.=func(.)),point_a)    summarise(point_a = f(point_a))

kindly let me know how go doing this.


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