Reputation: 2015
Suppose I have the following data,
library(dplyr)
data(mtcars)
mtcars = tbl_dt(mtcars)
I am using the following command,
mtcars %>%
group_by(am, gear) %>%
summarise (n = n()) %>%
mutate(freq = (n / sum(n)) * 100)
I get the following output,
am gear n freq
0 3 15 79
0 4 4 21
1 4 8 62
1 5 5 38
Now I want to filter all the entries corresponding to ones which are less than freq 25. For example, if I give 25 as value, I want to remove all the 4 entries corresponding to proportions less than 25. The output should contain, 28 entries instead for 32. Is it possible to filter out all the entries corresponding to proportions?
Upvotes: 2
Views: 2964
Reputation: 93761
You can do this in a single chain if you use mutate
, rather than summarise
, to count the number of rows in each group.
min.freq = 0.25
mtcars %>%
group_by(am, gear) %>%
mutate(n = n()) %>%
group_by(am) %>%
filter(n/n() > min.freq) %>% select(-n)
mpg cyl disp hp drat wt qsec vs am gear carb 1 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 2 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 3 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 ... 26 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 27 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 28 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2
Upvotes: 5