SFuj SFuj - 1 month ago 22
R Question

Conditionally Count in dplyr

I have some member order data that I would like to aggregate by week of order.

This is what the data looks like:

memberorders=data.frame(MemID=c('A','A','B','B','B','C','C','D'),
week = c(1,2,1,4,5,1,4,1),
value = c(10,20,10,10,2,5,30,3))


I'm using dplyr to group_by "MemID" and summarize "value" for "week" <=2 and <=4 (to see how much each member ordered in weeks 1-2 and 1-4. The code I currently have is:

MemberLTV <- memberorders %>%
group_by(MemID) %>%
summarize(
sum2 = sum(value[week<=2]),
sum4 = sum(value[week<=4]))


I'm now trying to add two more fields in summarize, count2 and count4, that would count the number of instances of each condition (week <=2 and week <=4).

The desired output is:

output = data.frame(MemID = c('A','B','C','D'),
sum2 = c(30,10,5,3),
sum4 = c(30,20,35,3),
count2 = c(2,1,1,1),
count4 = c(2,2,2,1))


I'm guessing it's just a little tweak of the sum function but I'm having trouble figuring it out.

Answer

Try

 library(dplyr)
 memberorders %>% 
        group_by(MemID) %>% 
        summarise(sum2= sum(value[week<=2]), sum4= sum(value[week <=4]), 
                  count2=sum(week<=2), count4= sum(week<=4))