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Date-time data can be frustrating to work with in R. R commands for
date-times are generally unintuitive and change depending on the type of
date-time object being used. Moreover, the methods we use with
date-times must be robust to time zones, leap days, daylight savings
times, and other time related quirks, and R lacks these capabilities in
some situations. Lubridate makes it easier to do the things R does with
date-times and possible to do the things R does not.
If you are new to lubridate, the best place to start is the date and
times chapter in R for data
science.
Installation
# The easiest way to get lubridate is to install the whole tidyverse:
install.packages("tidyverse")
# Alternatively, install just lubridate:
install.packages("lubridate")
# Or the development version from GitHub:# install.packages("devtools")devtools::install_github("tidyverse/lubridate")
Cheatsheet
Features
library(lubridate, warn.conflicts=FALSE)
Easy and fast parsing of date-times: ymd(), ymd_hms, dmy(),
dmy_hms, mdy(), …
Lubridate also expands the type of mathematical operations that can be
performed with date-time objects. It introduces three new time span
classes borrowed from https://www.joda.org.
durations, which measure the exact amount of time between two points
periods, which accurately track clock times despite leap years, leap
seconds, and day light savings time
intervals, a protean summary of the time information between two
points
Code of Conduct
Please note that the lubridate project is released with a Contributor
Code of Conduct.
By contributing to this project, you agree to abide by its terms.
About
Make working with dates in R just that little bit easier