This data frame has two columns, Date
and sum_pips
. I've been trying to group_by
each month and find the total sum_pips
for each month. For example, all the June's in this data frame equal to a sum of 2700 pips. Hopefully that makes sense
One approach would be to use the month()
function from the lubridate
package, which teases out the months from date-formatted variables as follows:
Sample data
set.seed(123)
df <- data.frame(Date = seq(as.Date("2022/1/1"), by = "day", length.out = 100),
sum_pips = rnbinom(100, mu = 55, size = 0.75))
Code
library(dplyr)
library(lubridate)
df %>%
group_by(month(Date)) %>%
summarize(sum_all_pips = sum(sum_pips))
Output:
# `month(Date)` sum_all_pips
# <dbl> <dbl>
# 1 1 1387
# 2 2 1663
# 3 3 1783
# 4 4 803