Forgive me if this is a duplicate question but I can't seem to type the perfect search to get what I need. I would like to convert seconds(as a numeric) into a duration in the format HH:mm:ss.
Below is a data frame with the original value and the expected value.
df <- data.frame(Duration = c(19, 250, 3, 3600), Expected = c("00:00:19", "00:04:10", "00:00:03", "01:00:00"))
And another answer using lubridate and hms:
library(lubridate)
library(hms)
df <- data.frame(Duration = c(19, 250, 3, 3600, 86401))
df$Expected <- hms::hms(seconds_to_period(df$Duration))
df
  Duration Expected
1       19 00:00:19
2      250 00:04:10
3        3 00:00:03
4     3600 01:00:00
5    86401 24:00:01
This builds a date object with as.POSIXct and adds the duration, then truncates the output to Time with strftime. Resets to 00:00:00 if it counts higher than 24h. For higher numbers see the approach at the bottom.
df
  Duration
1       19
2      250
3        3
4     3600
df$Expected <- strftime(as.POSIXct("00:00:00", format="%H:%M:%S") + 
                        df$Duration, format="%H:%M:%S")
df
  Duration Expected
1       19 00:00:19
2      250 00:04:10
3        3 00:00:03
4     3600 01:00:00
In case you need to count higher than a day use this
df
  Duration
1       19
2      250
3        3
4     3600
5   431170
df$Expected <- paste0(sprintf("%02.f",floor(df$Duration/3600)),":",
                      sprintf("%02.f",(df$Duration/60)%%60),":",
                      sprintf("%02.f",df$Duration%%60))
df
  Duration  Expected
1       19  00:00:19
2      250  00:04:10
3        3  00:00:03
4     3600  01:00:00
5   431170 119:46:10
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