I want to calculate the month value by calculating the mean of the weeksums per month.
e.g. for June (06) and distance 10 I have the weeksums 1(2017_28), 6(2017_29) and 1 (2017_31), I want to summarise these weeks to get the total monthsum 8 and the mean value 2.6667 (8:3).
I got the monthsum but I don't know how to calculate the mean
df %>%
group_by(year_month, distance) %>%
mutate(monthsum = sum(weeksum))
year year_month month year_week distance weeksum
1 2017 2017_05 05 2017_21 15 4
2 2017 2017_05 05 2017_21 10 1
3 2017 2017_05 05 2017_22 5 5
4 2017 2017_05 05 2017_22 0 1
5 2017 2017_06 06 2017_22 0 11
6 2017 2017_06 06 2017_23 20 7
7 2017 2017_06 06 2017_23 0 6
8 2017 2017_07 07 2017_28 10 1
9 2017 2017_07 07 2017_28 0 1
10 2017 2017_07 07 2017_29 10 6
11 2017 2017_07 07 2017_29 5 3
12 2017 2017_07 07 2017_30 0 12
13 2017 2017_07 07 2017_31 10 1
14 2017 2017_07 07 2017_31 0 7
This is what I want:
year year_month month year_week distance monthsum mean
1 2017 2017_05 05 2017_21 15 4 4
2 2017 2017_05 05 2017_21 10 1 1
3 2017 2017_05 05 2017_22 5 5 5
4 2017 2017_05 05 2017_22 0 1 1
5 2017 2017_06 06 2017_22 0 17 8.5
6 2017 2017_06 06 2017_23 20 7 7
7 2017 2017_07 07 2017_28 10 8 2.6667
8 2017 2017_07 07 2017_28 0 20 6.6667
9 2017 2017_07 07 2017_29 5 3 3