My apologies if it is a repeat question. I'm not experienced working with timestamp data in R.
I have a dataset that contains a duration data in HMS format. I want to find the total sum of these values.
library(lubridate)
name <- c("one", "one", "two", "two")
duration <- lubridate::hms("38H 3M 24S", "6H 50M 58S", "31M 54S", "8H 13M 51S")
data <- data.frame(name , duration, stringsAsFactors=FALSE)
If I add elements directly I get something that does not account for the carrying over of time on the 60.
d1 <- data$duration[1] + data$duration[2]
d1
This returns "44H 53M 82S" - 82 seconds should be 1M 22S
Similar issues with the sum function
d2 <- sum(data$duration)
d2
this returns 82.
I'm looking down the path of converting hms to seconds, summing those values and converting back to HMS and I thought surely someone has had to add HMS together before?
My end goal is to be able to do something like this
d4 <- data %>%
group_by(name) %>%
summarise(totalTime = sum(duration))
Thanks in advance for the comments.