Package: lubridate 1.9.4

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output: github_document

lubridate

Overview

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")
install.packages("lubridate", repos = c('https://tidyverse.r-universe.dev', 'https://cloud.r-project.org'))

Cheatsheet

Features

library(lubridate, warn.conflicts = FALSE)

• Easy and fast parsing of date-times: ymd(), ymd_hms, dmy(), dmy_hms, mdy(), ...

  ymd(20101215)
  #> [1] "2010-12-15"
  mdy("4/1/17")
  #> [1] "2017-04-01"
  

• Simple functions to get and set components of a date-time, such as year(), month(), mday(), hour(), minute() and second():

  bday <- dmy("14/10/1979")
  month(bday)
  #> [1] 10
  wday(bday, label = TRUE)
  #> [1] Sun
  #> Levels: Sun < Mon < Tue < Wed < Thu < Fri < Sat
  
  year(bday) <- 2016
  wday(bday, label = TRUE)
  #> [1] Fri
  #> Levels: Sun < Mon < Tue < Wed < Thu < Fri < Sat
  

• Helper functions for handling time zones: with_tz(), force_tz()

  time <- ymd_hms("2010-12-13 15:30:30")
  time
  #> [1] "2010-12-13 15:30:30 UTC"
  
  # Changes printing
  with_tz(time, "America/Chicago")
  #> [1] "2010-12-13 09:30:30 CST"
  
  # Changes time
  force_tz(time, "America/Chicago")
  #> [1] "2010-12-13 15:30:30 CST"
  

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.