Lubridate provides tools that make it easier to parse and manipulate dates. These tools are grouped below by common purpose. More information about each function can be found in its help documentation.
Lubridate's parsing functions read strings into R as POSIXct date-time objects. Users should choose the function whose name models the order in which the year ('y'), month ('m') and day ('d') elements appear the string to be parsed:
ymd_hms). A very flexible and user friendly parser is provided by
Lubridate can also parse partial dates from strings into
Period-class objects with the functions
Lubridate has an inbuilt very fast POSIX parser, ported from the fasttime package by Simon Urbanek. This functionality is as yet optional and could be activated with
options(lubridate.fasttime = TRUE). Lubridate will automatically detect POSIX strings and use fast parser instead of the default
Lubridate distinguishes between moments in time (known as
instants) and spans of time (known as time spans, see
Timespan-class). Time spans are further separated into
Instants are specific moments of time. Date, POSIXct, and POSIXlt are the three object classes Base R recognizes as instants.
is.Date tests whether an object inherits from the Date class.
is.POSIXt tests whether an object inherits from the POSIXlt or POSIXct classes.
is.instant tests whether an object inherits from any of the three classes.
now returns the current system time as a POSIXct object.
today returns the current system date. For convenience, 1970-01-01 00:00:00 is saved to
origin. This is the instant from which POSIXct times are calculated. Try unclass(now()) to see the numeric structure that underlies POSIXct objects. Each POSIXct object is saved as the number of seconds it occurred after 1970-01-01 00:00:00.
Conceptually, instants are a combination of measurements on different units (i.e, years, months, days, etc.). The individual values for these units can be extracted from an instant and set with the accessor functions
dst. Note: the accessor functions are named after the singular form of an element. They shouldn't be confused with the period helper functions that have the plural form of the units as a name (e.g,
Instants can be rounded to a convenient unit using the functions
Lubridate provides two helper functions for working with time zones.
with_tz changes the time zone in which an instant is displayed. The clock time displayed for the instant changes, but the moment of time described remains the same.
force_tz changes only the time zone element of an instant. The clock time displayed remains the same, but the resulting instant describes a new moment of time.
A timespan is a length of time that may or may not be connected to a particular instant. For example, three months is a timespan. So is an hour and a half. Base R uses difftime class objects to record timespans. However, people are not always consistent in how they expect time to behave. Sometimes the passage of time is a monotone progression of instants that should be as mathematically reliable as the number line. On other occasions time must follow complex conventions and rules so that the clock times we see reflect what we expect to observe in terms of daylight, season, and congruence with the atomic clock. To better navigate the nuances of time, lubridate creates three additional timespan classes, each with its own specific and consistent behavior:
is.difftime tests whether an object inherits from the difftime class.
is.timespan tests whether an object inherits from any of the four timespan classes.
Durations measure the exact amount of time that occurs between two instants. This can create unexpected results in relation to clock times if a leap second, leap year, or change in daylight savings time (DST) occurs in the interval.
Functions for working with durations include
new_duration quickly create durations of convenient lengths.
Periods measure the change in clock time that occurs between two instants. Periods provide robust predictions of clock time in the presence of leap seconds, leap years, and changes in DST.
Functions for working with periods include
years quickly create periods of convenient lengths.
Intervals are timespans that begin at a specific instant and end at a specific instant. Intervals retain complete information about a timespan. They provide the only reliable way to convert between periods and durations.
Functions for working with intervals include
%within%. Intervals can also be manipulated with intersect, union, and setdiff().
decimal_date converts an instant to a decimal of its year.
leap_year tests whether an instant occurs during a leap year.
pretty.dates provides a method of making pretty breaks for date-times
lakers is a data set that contains information about the Los Angeles Lakers 2008-2009 basketball season.
Garrett Grolemund, Hadley Wickham (2011). Dates and Times Made Easy with lubridate. Journal of Statistical Software, 40(3), 1-25. http://www.jstatsoft.org/v40/i03/.
Documentation reproduced from package lubridate, version 1.3.3. License: GPL