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https://stackoverflow.com/questions/19721145/convert-decimal-hours-to-hhmmss
The number of hours can be extracted from a string very nicely using the parse_number() function from the readr package: library(readr) input <- "4.927778 hours" hrs <- parse_number(input) …
https://stackoverflow.com/questions/33903883/r-extract-hours-from-time-in-factor-format
You could also try a combination of converting your factor to a POSIXt object and then using the format function. I'm not sure how efficient this method is though. Time <- factor("08:01:01") hour = format(as.POSIXct(Time,format="%H:%M:%S"),"%H") minute = format(as.POSIXct(Time,format="%H:%M:%S"),"%M") paste(hour,minute,sep=":") [1] "08:01"
https://stat.ethz.ch/R-manual/R-devel/library/base/html/strptime.html
x: An object to be converted: a character vector for strptime, an object which can be converted to "POSIXlt" for strftime. tz: A character string specifying the time zone to be used for the conversion. System-specific (see as.POSIXlt), but "" is the current time zone, and "GMT" is UTC. Invalid values are most commonly treated as UTC, on some platforms with a warning.
https://www.cyclismo.org/tutorial/R/time.html
14.1. Time and Date Variables. ¶. There are a variety of different types specific to time data fields in R. Here we only look at two, the POSIXct and POSIXlt data types: POSIXct. The POSIXct data type is the number of seconds since the start of January 1, 1970. Negative numbers represent the number of seconds before this time, and positive ...
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60 M in an H: 60 minutes in an hour; 23 P of C in the H B: 23 pairs of chromosomes in the human body; 64 S on a C B: 64 squares on checkers board; 9 P in S A: 9 provinces in South Africa; 6 B to an O in C: 6 bowls to an over in cricket; 1000 Y in a M: 1000 years in a millennium; 15 M on a D M C: 15 men on a dead man’s chest
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