I have a data frame for daily earning like this:
date earning
1 -40.495074
2 -88.636625
3 134.400976
4 66.325253
5 -86.337511
6 -1.266815
7 267.944212
8 65.247053
9 86.177537
10 64.540579
I want to group every 7 days and aggregate 7 days earning by using median.
edit1: It doesn't have to be calendar week, just arbitrary 7 days as as group.
So It would be like
week median-earning
1 11
2 22
and so on...
How can I achieve this in R?
library(dplyr)
theData <- data.frame(date = 1:10,
earning = c(-40, -88, -134, 66, -86, -1, 267, 65, 86, 64))
theData$seven_day_index <- c(0, rep(1:(nrow(theData)-1)%/%7))
group_by(theData, seven_day_index) %>%
summarise(median_earnings = median(earning))
and the base R version
sapply(split(theData$earning, c(0, rep(1:(nrow(theData)-1)%/%7))), median)
edit: inspired by above
theData %>% mutate(seven_day_index = 1:nrow(theData) %/% 7) %>%
group_by(seven_day_index) %>%
summarise(median_earnings = median(earning)
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With