r - dplyr - group_by and count if variable satisfies condition -

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i've got problem seems quite simple conceptually yet i'm having hard time accomplishing in r (and examples i've found online many (using dplyr) yet not seem @ i'm looking for). here's example below:

i've got 3 variables: response (factor), type (factor), , status (factor). basically, i'm trying figure out how many times (frequency) particular response appears each type if status equals 1. responses between 0-10. below example dataframe: 

response    type    status 5     0 5     1 2     0 0     0 6     1 1     1 9     0 3     1 4     1 0     1 9     0 1     0 0     1 7     0 5   b   1 4   b   1 4   b   1 8   b   0 7   b   1 8   b   0 2   b   0 0   b   1 10  b   0 3   b   0 1   b   0 9   b   0 4   b   1 1   b   1

the end-result i'm looking displayed below, responsescale shows full range of response options available (0-10), , count displays frequency particular response appear given responsescale.

type    responsescale   count   0   2   1   1   2   0   3   1   4   1   5   1   6   1   7   0   8   0   9   0   10  0 b   0   1 b   1   1 b   2   0 b   3   0 b   4   3 b   5   1 b   6   0 b   7   1 b   8   0 b   9   0 b   10  0

i've tried using group_by in dplyr without success (i couldn't frequency counts display type--output displayed counts overall collapsed across type). more importantly, i'm not sure how incorporate status equals 1 part want within dplyr example.

any help/pointers appreciated--thanks!


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