Package 'lubridate'

Description

Adding months frustrates basic arithmetic because consecutive months have different lengths. With other elements, it is helpful for arithmetic to perform automatic roll over. For example, 12:00:00 + 61 seconds becomes 12:01:01. However, people often prefer that this behavior NOT occur with months. For example, we sometimes want January 31 + 1 month = February 28 and not March 3. %m+% performs this type of arithmetic. Date %m+% months(n) always returns a date in the nth month after Date. If the new date would usually spill over into the n + 1th month, %m+% will return the last day of the nth month (rollback()). Date %m-% months(n) always returns a date in the nth month before Date.

Usage

e1 %m+% e2

add_with_rollback(e1, e2, roll_to_first = FALSE, preserve_hms = TRUE)

Arguments

Details

%m+% and %m-% handle periods with components less than a month by first adding/subtracting months and then performing usual arithmetic with smaller units.

%m+% and %m-% should be used with caution as they are not one-to-one operations and results for either will be sensitive to the order of operations.

Value

A date-time object of class POSIXlt, POSIXct or Date

Examples

jan <- ymd_hms("2010-01-31 03:04:05")
jan + months(1:3) # Feb 31 and April 31 returned as NA
# NA "2010-03-31 03:04:05 UTC" NA
jan %m+% months(1:3) # No rollover

leap <- ymd("2012-02-29")
"2012-02-29 UTC"
leap %m+% years(1)
leap %m+% years(-1)
leap %m-% years(1)

x <- ymd_hms("2019-01-29 01:02:03")
add_with_rollback(x, months(1))
add_with_rollback(x, months(1), preserve_hms = FALSE)
add_with_rollback(x, months(1), roll_to_first = TRUE)
add_with_rollback(x, months(1), roll_to_first = TRUE, preserve_hms = FALSE)

Description

Check whether a lies within the interval b, inclusive of the endpoints.

Usage

a %within% b

Arguments

Value

A logical vector.

Examples

int <- interval(ymd("2001-01-01"), ymd("2002-01-01"))
int2 <- interval(ymd("2001-06-01"), ymd("2002-01-01"))

ymd("2001-05-03") %within% int # TRUE
int2 %within% int # TRUE
ymd("1999-01-01") %within% int # FALSE

## recycling (carefully note the difference between using a vector of
## intervals and list of intervals for the second argument)
dates <- ymd(c("2014-12-20", "2014-12-30", "2015-01-01", "2015-01-03"))
blackout_vector <- c(
  interval(ymd("2014-12-30"), ymd("2014-12-31")),
  interval(ymd("2014-12-30"), ymd("2015-01-03"))
)
dates %within% blackout_vector

## within ANY of the intervals of a list
dates <- ymd(c("2014-12-20", "2014-12-30", "2015-01-01", "2015-01-03"))
lst <- list(
  interval(ymd("2014-12-30"), ymd("2014-12-31")),
  interval(ymd("2014-12-30"), ymd("2015-01-03"))
)
dates %within% lst

## interval within a list of intervals
int <- interval(
  ymd("2014-12-20", "2014-12-30"),
  ymd("2015-01-01", "2015-01-03")
)
int %within% lst

Description

Does date time occur in the am or pm?

Usage

am(x)

pm(x)

Arguments

Value

TRUE or FALSE depending on whether x occurs in the am or pm

Examples

x <- ymd("2012-03-26")
am(x)
pm(x)

Description

Convert an object to a date or date-time

Usage

as_date(x, ...)

## S4 method for signature 'ANY'
as_date(x, ...)

## S4 method for signature 'POSIXt'
as_date(x, tz = NULL)

## S4 method for signature 'numeric'
as_date(x, origin = lubridate::origin)

## S4 method for signature 'character'
as_date(x, tz = NULL, format = NULL)

as_datetime(x, ...)

## S4 method for signature 'ANY'
as_datetime(x, tz = lubridate::tz(x))

## S4 method for signature 'POSIXt'
as_datetime(x, tz = lubridate::tz(x))

## S4 method for signature 'numeric'
as_datetime(x, origin = lubridate::origin, tz = "UTC")

## S4 method for signature 'character'
as_datetime(x, tz = "UTC", format = NULL)

## S4 method for signature 'Date'
as_datetime(x, tz = "UTC")

Arguments

Value

a vector of Date objects corresponding to x.

Compare to base R

These are drop in replacements for as.Date() and as.POSIXct(), with a few tweaks to make them work more intuitively.

• Called on a POSIXct object, as_date() uses the tzone attribute of the object to return the same date as indicated by the printed representation of the object. This differs from as.Date, which ignores the attribute and uses only the tz argument to as.Date() ("UTC" by default).

• Both functions provide a default origin argument for numeric vectors.

• Both functions will generate NAs for invalid date format. Valid formats are those described by ISO8601 standard. A warning message will provide a count of the elements that were not converted.

• as_datetime() defaults to using UTC.

Examples

dt_utc <- ymd_hms("2010-08-03 00:50:50")
dt_europe <- ymd_hms("2010-08-03 00:50:50", tz = "Europe/London")
c(as_date(dt_utc), as.Date(dt_utc))
c(as_date(dt_europe), as.Date(dt_europe))
## need not supply origin
as_date(10)
## Will replace invalid date format with NA
dt_wrong <- c("2009-09-29", "2012-11-29", "2015-29-12")
as_date(dt_wrong)

Description

as.duration changes Interval, Period and numeric class objects to Duration objects. Numeric objects are changed to Duration objects with the seconds unit equal to the numeric value.

Usage

as.duration(x, ...)

Arguments

Details

Durations are exact time measurements, whereas periods are relative time measurements. See Period. The length of a period depends on when it occurs. Hence, a one to one mapping does not exist between durations and periods. When used with a period object, as.duration provides an inexact estimate of the length of the period; each time unit is assigned its most common number of seconds. A period of one month is converted to 2628000 seconds (approximately 30.42 days). This ensures that 12 months will sum to 365 days, or one normal year. For an exact transformation, first transform the period to an interval with as.interval().

Value

A duration object

See Also

Duration, duration()

Examples

span <- interval(ymd("2009-01-01"), ymd("2009-08-01")) # interval
as.duration(span)
as.duration(10) # numeric
dur <- duration(hours = 10, minutes = 6)
as.numeric(dur, "hours")
as.numeric(dur, "minutes")

Description

as.interval changes difftime, Duration, Period and numeric class objects to intervals that begin at the specified date-time. Numeric objects are first coerced to timespans equal to the numeric value in seconds.

Usage

as.interval(x, start, ...)

Arguments

Details

as.interval can be used to create accurate transformations between Period objects, which measure time spans in variable length units, and Duration objects, which measure timespans as an exact number of seconds. A start date- time must be supplied to make the conversion. Lubridate uses this start date to look up how many seconds each variable length unit (e.g. month, year) lasted for during the time span described. See as.duration(), as.period().

Value

an interval object

See Also

interval()

Examples

diff <- make_difftime(days = 31) # difftime
as.interval(diff, ymd("2009-01-01"))
as.interval(diff, ymd("2009-02-01"))

dur <- duration(days = 31) # duration
as.interval(dur, ymd("2009-01-01"))
as.interval(dur, ymd("2009-02-01"))

per <- period(months = 1) # period
as.interval(per, ymd("2009-01-01"))
as.interval(per, ymd("2009-02-01"))

as.interval(3600, ymd("2009-01-01")) # numeric

Description

as.period changes Interval, Duration, difftime and numeric class objects to Period class objects with the specified units.

Usage

as.period(x, unit, ...)

Arguments

Details

Users must specify which time units to measure the period in. The exact length of each time unit in a period will depend on when it occurs. See Period and period(). The choice of units is not trivial; units that are normally equal may differ in length depending on when the time period occurs. For example, when a leap second occurs one minute is longer than 60 seconds.

Because periods do not have a fixed length, they can not be accurately converted to and from Duration objects. Duration objects measure time spans in exact numbers of seconds, see Duration. Hence, a one to one mapping does not exist between durations and periods. When used with a Duration object, as.period provides an inexact estimate; the duration is broken into time units based on the most common lengths of time units, in seconds. Because the length of months are particularly variable, a period with a months unit can not be coerced from a duration object. For an exact transformation, first transform the duration to an interval with as.interval().

Coercing an interval to a period may cause surprising behavior if you request periods with small units. A leap year is 366 days long, but one year long. Such an interval will convert to 366 days when unit is set to days and 1 year when unit is set to years. Adding 366 days to a date will often give a different result than adding one year. Daylight savings is the one exception where this does not apply. Interval lengths are calculated on the UTC timeline, which does not use daylight savings. Hence, periods converted with seconds or minutes will not reflect the actual variation in seconds and minutes that occurs due to daylight savings. These periods will show the "naive" change in seconds and minutes that is suggested by the differences in clock time. See the examples below.

Value

a period object

See Also

Period, period()

Examples

span <- interval(ymd_hms("2009-01-01 00:00:00"), ymd_hms("2010-02-02 01:01:01")) # interval
as.period(span)
as.period(span, unit = "day")
"397d 1H 1M 1S"
leap <- interval(ymd("2016-01-01"), ymd("2017-01-01"))
as.period(leap, unit = "days")
as.period(leap, unit = "years")
dst <- interval(
  ymd("2016-11-06", tz = "America/Chicago"),
  ymd("2016-11-07", tz = "America/Chicago")
)
# as.period(dst, unit = "seconds")
as.period(dst, unit = "hours")
per <- period(hours = 10, minutes = 6)
as.numeric(per, "hours")
as.numeric(per, "minutes")

Description

Encode a date-time object into a cyclic coordinate system in which the distances between two pairs of dates separated by the same time duration are the same.

Usage

cyclic_encoding(
  x,
  periods,
  encoders = c("sin", "cos"),
  week_start = getOption("lubridate.week.start", 7)
)

Arguments

Details

Machine learning models don't know that December 31st and January 1st are close in our human calendar sense. cyclic_encoding makes it obvious to the machine learner that two calendar dates are close by mapping the dates onto the circle.

Value

a numeric matrix with number of columns equal length(periods) * length(types).

Examples

times <- ymd_hms("2019-01-01 00:00:00") + hours(0:23)
cyclic_encoding(times, c("day", "week", "month"))
plot(cyclic_encoding(times, "1d"))
plot(cyclic_encoding(times, "2d"), xlim = c(-1, 1))
plot(cyclic_encoding(times, "4d"), xlim = c(-1, 1))

Description

Date-time must be a POSIXct, POSIXlt, Date, chron, yearmon, yearqtr, zoo, zooreg, timeDate, xts, its, ti, jul, timeSeries, and fts objects.

Usage

date(x)

date(x) <- value

Arguments

Details

date() does not yet support years before 0 C.E. Also date() is not defined for Period objects.

Value

the date of x as a Date

Base compatibility

date() can be called without any arguments to return a string representing the current date-time. This provides compatibility with base:date() which it overrides.

Examples

x <- ymd_hms("2012-03-26 23:12:13", tz = "America/New_York")
date(x)
as.Date(x) # by default as.Date assumes you want to know the date in UTC
as.Date(x, tz = "America/New_York")
date(x) <- as.Date("2000-01-02")
x

Description

Converts a decimal to a date

Usage

date_decimal(decimal, tz = "UTC")

Arguments

Value

a POSIXct object, whose year corresponds to the integer part of decimal. The months, days, hours, minutes and seconds elements are picked so the date-time will accurately represent the fraction of the year expressed by decimal.

Examples

date <- ymd("2009-02-10")
decimal <- decimal_date(date) # 2009.11
date_decimal(decimal) # "2009-02-10 UTC"

Description

update.Date() and update.POSIXt() return a date with the specified elements updated. Elements not specified will be left unaltered. update.Date and update.POSIXt do not add the specified values to the existing date, they substitute them for the appropriate parts of the existing date.

Usage

## S3 method for class 'POSIXt'
update(
  object,
  ...,
  roll_dst = c("NA", "post"),
  week_start = getOption("lubridate.week.start", 7),
  roll = NULL,
  simple = NULL
)

Arguments

* `pre` - Use the time before the transition boundary.
* `boundary` - Use the time exactly at the boundary transition.
* `post` - Use the time after the boundary transition.
* `xfirst` - crossed-first: First time which occurred when crossing the
   boundary. For addition with positive units pre interval is crossed first and
   post interval last. With negative units post interval is crossed first, pre -
   last. For subtraction the logic is reversed.
* `xlast` - crossed-last.
* `NA` - Produce NAs when the resulting time falls inside the problematic interval.

Value

a date object with the requested elements updated. The object will retain its original class unless an element is updated which the original class does not support. In this case, the date returned will be a POSIXlt date object.

Examples

date <- ymd("2009-02-10")
update(date, year = 2010, month = 1, mday = 1)

update(date, year = 2010, month = 13, mday = 1)

update(date, minute = 10, second = 3)

Description

Get/set days component of a date-time

Usage

day(x)

mday(x)

wday(
  x,
  label = FALSE,
  abbr = TRUE,
  week_start = getOption("lubridate.week.start", 7),
  locale = Sys.getlocale("LC_TIME")
)

qday(x)

yday(x)

day(x) <- value

mday(x) <- value

qday(x) <- value

qday(x) <- value

wday(x, week_start = getOption("lubridate.week.start", 7)) <- value

yday(x) <- value

Arguments

Details

mday() and yday() return the day of the month and day of the year respectively. day() and ⁠day<-()⁠ are aliases for mday() and ⁠mday<-()⁠.

Value

wday() returns the day of the week as a decimal number or an ordered factor if label is TRUE.

Examples

x <- as.Date("2009-09-02")
wday(x) # 4
wday(x, label = TRUE) # Wed

wday(x, week_start = 1) # 3
wday(x, week_start = 7) # 4

wday(x, label = TRUE, week_start = 7) # Wed (Sun is the first level)
wday(x, label = TRUE, week_start = 1) # Wed (Mon is the first level)

wday(ymd(080101))
wday(ymd(080101), label = TRUE, abbr = FALSE)
wday(ymd(080101), label = TRUE, abbr = TRUE)
wday(ymd(080101) + days(-2:4), label = TRUE, abbr = TRUE)

x <- as.Date("2009-09-02")
yday(x) # 245
mday(x) # 2
yday(x) <- 1 # "2009-01-01"
yday(x) <- 366 # "2010-01-01"
mday(x) > 3

Description

Date-time must be a POSIXct, POSIXlt, Date, chron, yearmon, yearqtr, zoo, zooreg, timeDate, xts, its, ti, jul, timeSeries, and fts objects.

Usage

days_in_month(x)

Arguments

Value

An integer of the number of days in the month component of the date-time object.

Description

Converts a date to a decimal of its year

Usage

decimal_date(date)

Arguments

Value

a numeric object where the date is expressed as a fraction of its year

Examples

date <- ymd("2009-02-10")
decimal_date(date) # 2009.11

Description

Date-time must be a POSIXct, POSIXlt, Date, chron, yearmon, yearqtr, zoo, zooreg, timeDate, xts, its, ti, jul, timeSeries, and fts objects.

Usage

dst(x)

Arguments

Details

A date-time's daylight savings flag can not be set because it depends on the date-time's year, month, day, and hour values.

Value

A logical. TRUE if DST is in force, FALSE if not, NA if unknown.

Examples

x <- ymd("2012-03-26")
dst(x)

Description

duration() creates a duration object with the specified values. Entries for different units are cumulative. durations display as the number of seconds in a time span. When this number is large, durations also display an estimate in larger units, however, the underlying object is always recorded as a fixed number of seconds. For display and creation purposes, units are converted to seconds using their most common lengths in seconds. Minutes = 60 seconds, hours = 3600 seconds, days = 86400 seconds, weeks = 604800. Units larger than weeks are not used due to their variability.

Usage

duration(num = NULL, units = "seconds", ...)

dseconds(x = 1)

dminutes(x = 1)

dhours(x = 1)

ddays(x = 1)

dweeks(x = 1)

dmonths(x = 1)

dyears(x = 1)

dmilliseconds(x = 1)

dmicroseconds(x = 1)

dnanoseconds(x = 1)

dpicoseconds(x = 1)

is.duration(x)

Arguments

Details

Durations record the exact number of seconds in a time span. They measure the exact passage of time but do not always align with measurements made in larger units of time such as hours, months and years. This is because the length of larger time units can be affected by conventions such as leap years and Daylight Savings Time. Base R provides a second class for measuring durations, the difftime class.

Duration objects can be easily created with the helper functions dweeks(), ddays(), dminutes(), dseconds(). These objects can be added to and subtracted to date- times to create a user interface similar to object oriented programming.

Value

a duration object

See Also

as.duration() Duration

Examples

### Separate period and units vectors

duration(90, "seconds")
duration(1.5, "minutes")
duration(-1, "days")

### Units as arguments

duration(day = -1)
duration(second = 90)
duration(minute = 1.5)
duration(mins = 1.5)
duration(second = 3, minute = 1.5, hour = 2, day = 6, week = 1)
duration(hour = 1, minute = -60)

### Parsing

duration("2M 1sec")
duration("2hours 2minutes 1second")
duration("2d 2H 2M 2S")
duration("2days 2hours 2mins 2secs")
# Missing numerals default to 1. Repeated units are added up.
duration("day day")

### ISO 8601 parsing

duration("P3Y6M4DT12H30M5S")
duration("P23DT23H") # M stands for months
duration("10DT10M") # M stands for minutes
duration("P23DT60H 20min 100 sec") # mixing ISO and lubridate style parsing

# Comparison with characters (from v1.6.0)

duration("day 2 sec") > "day 1sec"


## ELEMENTARY CONSTRUCTORS:

dseconds(1)
dminutes(3.5)

x <- ymd("2009-08-03", tz = "America/Chicago")
x + ddays(1) + dhours(6) + dminutes(30)
x + ddays(100) - dhours(8)

class(as.Date("2009-08-09") + ddays(1)) # retains Date class
as.Date("2009-08-09") + dhours(12)
class(as.Date("2009-08-09") + dhours(12))
# converts to POSIXt class to accomodate time units

dweeks(1) - ddays(7)
c(1:3) * dhours(1)

# compare DST handling to durations
boundary <- ymd_hms("2009-03-08 01:59:59", tz = "America/Chicago")
boundary + days(1) # period
boundary + ddays(1) # duration
is.duration(as.Date("2009-08-03")) # FALSE
is.duration(duration(days = 12.4)) # TRUE

Description

Duration is an S4 class that extends the Timespan class. Durations record the exact number of seconds in a time span. They measure the exact passage of time but do not always align with measurements made in larger units of time such as hours, months and years. This is because the exact length of larger time units can be affected by conventions such as leap years and Daylight Savings Time.

Details

Durations provide a method for measuring generalized timespans when we wish to treat time as a mathematical quantity that increases in a uniform, monotone manner along a continuous number line. They allow exact comparisons with other durations. See Period for an alternative way to measure timespans that better preserves clock times.

Durations class objects have one slot: .Data, a numeric object equal to the number of seconds in the duration.

Description

The POSIXlt format allows you to create instants that do not exist in real life due to daylight savings time and other conventions. fit_to_timeline matches POSIXlt date-times to a real times. If an instant does not exist, fit to timeline will replace it with an NA. If an instant does exist, but has been paired with an incorrect timezone/daylight savings time combination, fit_to_timeline returns the instant with the correct combination.

Usage

fit_to_timeline(lt, class = "POSIXct", simple = FALSE)

Arguments

Value

a POSIXct or POSIXlt object that contains no illusory date-times

Examples

## Not run: 

tricky <- structure(list(
  sec = c(5, 0, 0, -1),
  min = c(0L, 5L, 5L, 0L),
  hour = c(2L, 0L, 2L, 2L),
  mday = c(4L, 4L, 14L, 4L),
  mon = c(10L, 10L, 2L, 10L),
  year = c(112L, 112L, 110L, 112L),
  wday = c(0L, 0L, 0L, 0L),
  yday = c(308L, 308L, 72L, 308L),
  isdst = c(1L, 0L, 0L, 1L)
),
.Names = c(
  "sec", "min", "hour", "mday", "mon",
  "year", "wday", "yday", "isdst"
),
class = c("POSIXlt", "POSIXt"),
tzone = c("America/Chicago", "CST", "CDT")
)

tricky
## [1] "2012-11-04 02:00:00 CDT" Doesn't exist because clocks "fall back" to 1:00 CST
## [2] "2012-11-04 00:05:00 CST" Times are still CDT, not CST at this instant
## [3] "2010-03-14 02:00:00 CDT" DST gap
## [4] "2012-11-04 01:59:59 CDT" Does exist, but has deceptive internal structure

fit_to_timeline(tricky)
## Returns:
## [1] "2012-11-04 02:00:00 CST" instant paired with correct tz & DST combination
## [2] "2012-11-04 00:05:00 CDT" instant paired with correct tz & DST combination
## [3] NA - fake time changed to NA (compare to as.POSIXct(tricky))
## [4] "2012-11-04 01:59:59 CDT" -real instant, left as is

fit_to_timeline(tricky, simple = TRUE)
## Returns valid time-dates by extrapolating CDT and CST zones:
## [1] "2012-11-04 01:00:05 CST" "2012-11-04 01:05:00 CDT"
## [3] "2010-03-14 03:05:00 CDT" "2012-11-04 01:59:59 CDT"

## End(Not run)

Description

force_tz returns the date-time that has the same clock time as input time, but in the new time zone. force_tzs is the parallel version of force_tz, meaning that every element from time argument is matched with the corresponding time zone in tzones argument.

Usage

force_tz(time, tzone = "", ...)

## Default S3 method:
force_tz(time, tzone = "", roll_dst = c("NA", "post"), roll = NULL, ...)

force_tzs(
  time,
  tzones,
  tzone_out = "UTC",
  roll_dst = c("NA", "post"),
  roll = NULL
)

Arguments

* `pre` - Use the time before the transition boundary.
* `boundary` - Use the time exactly at the boundary transition.
* `post` - Use the time after the boundary transition.
* `xfirst` - crossed-first: First time which occurred when crossing the
   boundary. For addition with positive units pre interval is crossed first and
   post interval last. With negative units post interval is crossed first, pre -
   last. For subtraction the logic is reversed.
* `xlast` - crossed-last.
* `NA` - Produce NAs when the resulting time falls inside the problematic interval.

Details

Although the new date-time has the same clock time (e.g. the same values in the year, month, days, etc. elements) it is a different moment of time than the input date-time.

As R date-time vectors cannot hold elements with non-uniform time zones, force_tzs returns a vector with time zone tzone_out, UTC by default.

Value

a POSIXct object in the updated time zone

See Also

with_tz(), local_time()

Examples

x <- ymd_hms("2009-08-07 00:00:01", tz = "America/New_York")
force_tz(x, "UTC")
force_tz(x, "Europe/Amsterdam")

## DST skip:
y <- ymd_hms("2010-03-14 02:05:05 UTC")
force_tz(y, "America/New_York", roll_dst = "NA")
force_tz(y, "America/New_York", roll_dst = "pre")
force_tz(y, "America/New_York", roll_dst = "boundary")
force_tz(y, "America/New_York", roll_dst = "post")

## DST repeat
y <- ymd_hms("2014-11-02 01:35:00", tz = "UTC")
force_tz(y, "America/New_York", roll_dst = "NA")
force_tz(y, "America/New_York", roll_dst = "pre")
force_tz(y, "America/New_York", roll_dst = "boundary")
force_tz(y, "America/New_York", roll_dst = "post")

## DST skipped and repeated
y <- ymd_hms("2010-03-14 02:05:05 UTC", "2014-11-02 01:35:00", tz = "UTC")
force_tz(y, "America/New_York", roll_dst = c("NA", "pre"))
force_tz(y, "America/New_York", roll_dst = c("boundary", "post"))

## Heterogeneous time-zones:

x <- ymd_hms(c("2009-08-07 00:00:01", "2009-08-07 01:02:03"))
force_tzs(x, tzones = c("America/New_York", "Europe/Amsterdam"))
force_tzs(x, tzones = c("America/New_York", "Europe/Amsterdam"), tzone_out = "America/New_York")

x <- ymd_hms("2009-08-07 00:00:01")
force_tzs(x, tzones = c("America/New_York", "Europe/Amsterdam"))

Description

Format in ISO8601 character format

Usage

format_ISO8601(x, usetz = FALSE, precision = NULL, ...)

Arguments

Value

A character vector of ISO8601-formatted text.

References

https://en.wikipedia.org/wiki/ISO_8601

Examples

format_ISO8601(as.Date("02-01-2018", format = "%m-%d-%Y"))
format_ISO8601(as.POSIXct("2018-02-01 03:04:05", tz = "America/New_York"), usetz = TRUE)
format_ISO8601(as.POSIXct("2018-02-01 03:04:05", tz = "America/New_York"), precision = "ymdhm")

Description

Guess possible date-times formats from a character vector.

Usage

guess_formats(
  x,
  orders,
  locale = Sys.getlocale("LC_TIME"),
  preproc_wday = TRUE,
  print_matches = FALSE
)

Arguments

Value

a vector of matched formats

Examples

x <- c('February 20th 1973',
       "february  14, 2004",
       "Sunday, May 1, 2000",
       "Sunday, May 1, 2000",
       "february  14, 04",
       'Feb 20th 73',
       "January 5 1999 at 7pm",
       "jan 3 2010",
       "Jan 1, 1999",
       "jan 3   10",
       "01 3 2010",
       "1 3 10",
       '1 13 89',
       "5/27/1979",
       "12/31/99",
       "DOB:12/11/00",
       "-----------",
       'Thu, 1 July 2004 22:30:00',
       'Thu, 1st of July 2004 at 22:30:00',
       'Thu, 1July 2004 at 22:30:00',
       'Thu, 1July2004 22:30:00',
       'Thu, 1July04 22:30:00',
       "21 Aug 2011, 11:15:34 pm",
       "-----------",
       "1979-05-27 05:00:59",
       "1979-05-27",
       "-----------",
       "3 jan 2000",
       "17 april 85",
       "27/5/1979",
       '20 01 89',
       '00/13/10',
       "-------",
       "14 12 00",
       "03:23:22 pm")

guess_formats(x, "BdY")
guess_formats(x, "Bdy")
## m also matches b and B; y also matches Y
guess_formats(x, "mdy", print_matches = TRUE)

## T also matches IMSp order
guess_formats(x, "T", print_matches = TRUE)

## b and B are equivalent and match, both, abreviated and full names
guess_formats(x, c("mdY", "BdY", "Bdy", "bdY", "bdy"), print_matches = TRUE)
guess_formats(x, c("dmy", "dbY", "dBy", "dBY"), print_matches = TRUE)


guess_formats(x, c("dBY HMS", "dbY HMS", "dmyHMS", "BdY H"), print_matches = TRUE)

guess_formats(x, c("ymd HMS"), print_matches = TRUE)

Description

Date-time must be a POSIXct, POSIXlt, Date, Period, chron, yearmon, yearqtr, zoo, zooreg, timeDate, xts, its, ti, jul, timeSeries, and fts objects.

Usage

hour(x)

hour(x) <- value

Arguments

Value

the hours element of x as a decimal number

Examples

x <- ymd("2012-03-26")
hour(x)
hour(x) <- 1
hour(x) <- 25
hour(x) > 2

Description

interval() creates an Interval object with the specified start and end dates. If the start date occurs before the end date, the interval will be positive. Otherwise, it will be negative. Character vectors in ISO 8601 format are supported from v1.7.2.

int_start()/int_end() and ⁠int_start<-()⁠/⁠int_end<-()⁠ are "accessors" and "setters" respectively of the start/end date of an interval.

int_flip() reverses the order of the start date and end date in an interval. The new interval takes place during the same timespan as the original interval, but has the opposite direction.

int_shift() shifts the start and end dates of an interval up or down the timeline by a specified amount. Note that this may change the exact length of the interval if the interval is shifted by a Period object. Intervals shifted by a Duration or difftime object will retain their exact length in seconds.

int_overlaps() tests if two intervals overlap.

int_standardize() ensures all intervals in an interval object are positive. If an interval is not positive, flip it so that it retains its endpoints but becomes positive.

int_aligns() tests if two intervals share an endpoint. The direction of each interval is ignored. int_align tests whether the earliest or latest moments of each interval occur at the same time.

int_diff() returns the intervals that occur between the elements of a vector of date-times. int_diff() is similar to the POSIXt and Date methods of diff(), but returns an Interval object instead of a difftime object.

Usage

interval(start = NULL, end = NULL, tzone = tz(start))

start %--% end

is.interval(x)

int_start(int)

int_start(int) <- value

int_end(int)

int_end(int) <- value

int_length(int)

int_flip(int)

int_shift(int, by)

int_overlaps(int1, int2)

int_standardize(int)

int_aligns(int1, int2)

int_diff(times)

Arguments

Details

Intervals are time spans bound by two real date-times. Intervals can be accurately converted to either period or duration objects using as.period(), as.duration(). Since an interval is anchored to a fixed history of time, both the exact number of seconds that passed and the number of variable length time units that occurred during the interval can be calculated.

Value

interval() – Interval object.

int_start() and int_end() return a POSIXct date object when used as an accessor. Nothing when used as a setter.

int_length() – numeric length of the interval in seconds. A negative number connotes a negative interval.

int_flip() – flipped interval object

int_shift() – an Interval object

int_overlaps() – logical, TRUE if int1 and int2 overlap by at least one second. FALSE otherwise

int_aligns() – logical, TRUE if int1 and int2 begin or end on the same moment. FALSE otherwise

int_diff() – interval object that contains the n-1 intervals between the n date-time in times

See Also

Interval, as.interval(), %within%

Examples

interval(ymd(20090201), ymd(20090101))

date1 <- ymd_hms("2009-03-08 01:59:59")
date2 <- ymd_hms("2000-02-29 12:00:00")
interval(date2, date1)
interval(date1, date2)
span <- interval(ymd(20090101), ymd(20090201))

### ISO Intervals

interval("2007-03-01T13:00:00Z/2008-05-11T15:30:00Z")
interval("2007-03-01T13:00:00Z/P1Y2M10DT2H30M")
interval("P1Y2M10DT2H30M/2008-05-11T15:30:00Z")
interval("2008-05-11/P2H30M")

### More permissive parsing (as long as there are no intermittent / characters)
interval("2008 05 11/P2hours 30minutes")
interval("08 05 11/P 2h 30m")

is.interval(period(months = 1, days = 15)) # FALSE
is.interval(interval(ymd(20090801), ymd(20090809))) # TRUE
int <- interval(ymd("2001-01-01"), ymd("2002-01-01"))
int_start(int)
int_start(int) <- ymd("2001-06-01")
int

int <- interval(ymd("2001-01-01"), ymd("2002-01-01"))
int_end(int)
int_end(int) <- ymd("2002-06-01")
int
int <- interval(ymd("2001-01-01"), ymd("2002-01-01"))
int_length(int)
int <- interval(ymd("2001-01-01"), ymd("2002-01-01"))
int_flip(int)
int <- interval(ymd("2001-01-01"), ymd("2002-01-01"))
int_shift(int, duration(days = 11))
int_shift(int, duration(hours = -1))
int1 <- interval(ymd("2001-01-01"), ymd("2002-01-01"))
int2 <- interval(ymd("2001-06-01"), ymd("2002-06-01"))
int3 <- interval(ymd("2003-01-01"), ymd("2004-01-01"))

int_overlaps(int1, int2) # TRUE
int_overlaps(int1, int3) # FALSE
int <- interval(ymd("2002-01-01"), ymd("2001-01-01"))
int_standardize(int)
int1 <- interval(ymd("2001-01-01"), ymd("2002-01-01"))
int2 <- interval(ymd("2001-06-01"), ymd("2002-01-01"))
int3 <- interval(ymd("2003-01-01"), ymd("2004-01-01"))

int_aligns(int1, int2) # TRUE
int_aligns(int1, int3) # FALSE
dates <- now() + days(1:10)
int_diff(dates)

Description

Interval is an S4 class that extends the Timespan class. An Interval object records one or more spans of time. Intervals record these timespans as a sequence of seconds that begin at a specified date. Since intervals are anchored to a precise moment of time, they can accurately be converted to Period or Duration class objects. This is because we can observe the length in seconds of each period that begins on a specific date. Contrast this to a generalized period, which may not have a consistent length in seconds (e.g. the number of seconds in a year will change if it is a leap year).

Details

Intervals can be both negative and positive. Negative intervals progress backwards from the start date; positive intervals progress forwards.

Interval class objects have two slots: .Data, a numeric object equal to the number of seconds in the interval; and start, a POSIXct object that specifies the time when the interval starts.

Description

Date() mirrors primitive constructors in base R (double(), character() etc.)

Usage

is.Date(x)

Date(length = 0L)

NA_Date_

Arguments

Format

An object of class Date of length 1.

See Also

is.instant(), is.timespan(), is.POSIXt(), POSIXct()

Examples

is.Date(as.Date("2009-08-03")) # TRUE
is.Date(difftime(now() + 5, now())) # FALSE

Description

Is x a difftime object?

Usage

is.difftime(x)

Arguments

Value

TRUE if x is a difftime object, FALSE otherwise.

See Also

is.instant(), is.timespan(), is.interval(), is.period().

Examples

is.difftime(as.Date("2009-08-03")) # FALSE
is.difftime(make_difftime(days = 12.4)) # TRUE

Description

An instant is a specific moment in time. Most common date-time objects (e.g, POSIXct, POSIXlt, and Date objects) are instants.

Usage

is.instant(x)

is.timepoint(x)

Arguments

Value

TRUE if x is a POSIXct, POSIXlt, or Date object, FALSE otherwise.

See Also

is.timespan(), is.POSIXt(), is.Date()

Examples

is.instant(as.Date("2009-08-03")) # TRUE
is.timepoint(5) # FALSE

Description

POSIXct() mirrors primitive constructors in base R (double(), character() etc.)

Usage

is.POSIXt(x)

is.POSIXlt(x)

is.POSIXct(x)

POSIXct(length = 0L, tz = "UTC")

NA_POSIXct_

Arguments

Format

An object of class POSIXct (inherits from POSIXt) of length 1.

Value

TRUE if x is a POSIXct or POSIXlt object, FALSE otherwise.

See Also

is.instant(), is.timespan(), is.Date()

Examples

is.POSIXt(as.Date("2009-08-03"))
is.POSIXt(as.POSIXct("2009-08-03"))

Description

Is x a length of time?

Usage

is.timespan(x)

Arguments

Value

TRUE if x is a period, interval, duration, or difftime object, FALSE otherwise.

See Also

is.instant(), is.duration(), is.difftime(), is.period(), is.interval()

Examples

is.timespan(as.Date("2009-08-03")) # FALSE
is.timespan(duration(second = 1)) # TRUE

Description

This data set contains play by play statistics of each Los Angeles Lakers basketball game in the 2008-2009 season. Data includes the date, opponent, and type of each game (home or away). Each play is described by the time on the game clock when the play was made, the period in which the play was attempted, the type of play, the player and team who made the play, the result of the play, and the location on the court where each play was made.

References

Originally taken from www.basketballgeek.com/data/.

Description

If x is a recognized date-time object, leap_year will return whether x occurs during a leap year. If x is a number, leap_year returns whether it would be a leap year under the Gregorian calendar.

Usage

leap_year(date)

Arguments

Value

TRUE if x is a leap year, FALSE otherwise

Examples

x <- as.Date("2009-08-02")
leap_year(x) # FALSE
leap_year(2009) # FALSE
leap_year(2008) # TRUE
leap_year(1900) # FALSE
leap_year(2000) # TRUE

Description

local_time retrieves day clock time in specified time zones. Computation is vectorized over both dt and tz arguments, the shortest is recycled in accordance with standard R rules.

Usage

local_time(dt, tz = NULL, units = "secs")

Arguments

Examples

x <- ymd_hms(c("2009-08-07 01:02:03", "2009-08-07 10:20:30"))
local_time(x, units = "secs")
local_time(x, units = "hours")
local_time(x, "Europe/Amsterdam")
local_time(x, "Europe/Amsterdam") == local_time(with_tz(x, "Europe/Amsterdam"))

x <- ymd_hms("2009-08-07 01:02:03")
local_time(x, c("America/New_York", "Europe/Amsterdam", "Asia/Shanghai"), unit = "hours")

Description

make_datetime() is a very fast drop-in replacement for base::ISOdate() and base::ISOdatetime(). make_date() produces objects of class Date.

Usage

make_datetime(
  year = 1970L,
  month = 1L,
  day = 1L,
  hour = 0L,
  min = 0L,
  sec = 0,
  tz = "UTC"
)

make_date(year = 1970L, month = 1L, day = 1L)

Arguments

Details

Input vectors are silently recycled. All inputs except sec are silently converted to integer vectors; sec can be either integer or double.

Examples

make_datetime(year = 1999, month = 12, day = 22, sec = 10)
make_datetime(year = 1999, month = 12, day = 22, sec = c(10, 11))

Description

make_difftime() creates a difftime object with the specified number of units. Entries for different units are cumulative. difftime displays durations in various units, but these units are estimates given for convenience. The underlying object is always recorded as a fixed number of seconds.

Usage

make_difftime(num = NULL, units = "auto", ...)

Arguments

Details

Conceptually, difftime objects are a type of duration. They measure the exact passage of time but do not always align with measurements made in larger units of time such as hours, months and years. This is because the length of larger time units can be affected by conventions such as leap years and Daylight Savings Time. lubridate provides a second class for measuring durations, the Duration class.

Value

a difftime object

See Also

duration(), as.duration()

Examples

make_difftime(1)
make_difftime(60)
make_difftime(3600)
make_difftime(3600, units = "minute")
# Time difference of 60 mins
make_difftime(second = 90)
# Time difference of 1.5 mins
make_difftime(minute = 1.5)
# Time difference of 1.5 mins
make_difftime(second = 3, minute = 1.5, hour = 2, day = 6, week = 1)
# Time difference of 13.08441 days
make_difftime(hour = 1, minute = -60)
# Time difference of 0 secs
make_difftime(day = -1)
# Time difference of -1 days
make_difftime(120, day = -1, units = "minute")
# Time differences in mins

Description

Date-time must be a POSIXct, POSIXlt, Date, Period, chron, yearmon, yearqtr, zoo, zooreg, timeDate, xts, its, ti, jul, timeSeries, and fts objects.

Usage

minute(x)

minute(x) <- value

Arguments

Value

the minutes element of x as a decimal number

Examples

x <- ymd("2012-03-26")
minute(x)
minute(x) <- 1
minute(x) <- 61
minute(x) > 2

Description

Date-time must be a POSIXct, POSIXlt, Date, Period, chron, yearmon, yearqtr, zoo, zooreg, timeDate, xts, its, ti, jul, timeSeries, and fts objects.

Usage

month(x, label = FALSE, abbr = TRUE, locale = Sys.getlocale("LC_TIME"))

month(x) <- value

Arguments

Value

If label = FALSE: month as number (1-12, 1 = January, 12 = December), otherwise as an ordered factor.

Examples

x <- ymd("2012-03-26")
month(x)
month(x) <- 1
month(x) <- 13
month(x) > 3

month(ymd(080101))
month(ymd(080101), label = TRUE)
month(ymd(080101), label = TRUE, abbr = FALSE)
month(ymd(080101) + months(0:11), label = TRUE)

Description

Transforms a character or numeric vector into a period object with the specified number of hours, minutes, and seconds. hms() recognizes all non-numeric characters except '-' as separators ('-' is used for negative durations). After hours, minutes and seconds have been parsed, the remaining input is ignored.

Usage

ms(..., quiet = FALSE, roll = FALSE)

hm(..., quiet = FALSE, roll = FALSE)

hms(..., quiet = FALSE, roll = FALSE)

Arguments

Value

a vector of period objects

See Also

hm(), ms()

Examples

ms(c("09:10", "09:02", "1:10"))
ms("7 6")
ms("6,5")
hm(c("09:10", "09:02", "1:10"))
hm("7 6")
hm("6,5")

x <- c("09:10:01", "09:10:02", "09:10:03")
hms(x)

hms("7 6 5", "3:23:::2", "2 : 23 : 33", "Finished in 9 hours, 20 min and 4 seconds")

Description

The current day and time

Usage

now(tzone = "")

today(tzone = "")

Arguments

Value

now - the current datetime as a POSIXct object

Examples

now()
now("GMT")
now("")
now() == now() # would be TRUE if computer processed both at the same instant
now() < now() # TRUE
now() > now() # FALSE
today()
today("GMT")
today() == today("GMT") # not always true
today() < as.Date("2999-01-01") # TRUE  (so far)

Description

Origin is the date-time for 1970-01-01 UTC in POSIXct format. This date-time is the origin for the numbering system used by POSIXct, POSIXlt, chron, and Date classes.

Usage

origin

Format

An object of class POSIXct (inherits from POSIXt) of length 1.

Examples

origin

Description

parse_date_time() parses an input vector into POSIXct date-time object. It differs from base::strptime() in two respects. First, it allows specification of the order in which the formats occur without the need to include separators and the ⁠%⁠ prefix. Such a formatting argument is referred to as "order". Second, it allows the user to specify several format-orders to handle heterogeneous date-time character representations.

parse_date_time2() is a fast C parser of numeric orders.

fast_strptime() is a fast C parser of numeric formats only that accepts explicit format arguments, just like base::strptime().

Usage

parse_date_time(
  x,
  orders,
  tz = "UTC",
  truncated = 0,
  quiet = FALSE,
  locale = Sys.getlocale("LC_TIME"),
  select_formats = .select_formats,
  exact = FALSE,
  train = TRUE,
  drop = FALSE
)

parse_date_time2(
  x,
  orders,
  tz = "UTC",
  exact = FALSE,
  lt = FALSE,
  cutoff_2000 = 68L
)

fast_strptime(x, format, tz = "UTC", lt = TRUE, cutoff_2000 = 68L)

Arguments

Details

When several format-orders are specified, parse_date_time() selects (guesses) format-orders based on a training subset of the input strings. After guessing the formats are ordered according to the performance on the training set and applied recursively on the entire input vector. You can disable training with train = FALSE.

parse_date_time(), and all derived functions, such as ymd_hms(), ymd(), etc., will drop into fast_strptime() instead of base::strptime() whenever the guessed from the input data formats are all numeric.

The list below contains formats recognized by lubridate. For numeric formats leading 0s are optional. As compared to base::strptime(), some of the formats are new or have been extended for efficiency reasons. These formats are marked with "(*)" below. Fast parsers parse_date_time2() and fast_strptime() accept only formats marked with "(!)".

a

Abbreviated weekday name in the current locale. (Also matches full name)

A

Full weekday name in the current locale. (Also matches abbreviated name).

You don't need to specify a and A formats explicitly. Wday is automatically handled if preproc_wday = TRUE

b (!)

Abbreviated or full month name in the current locale. The C parser currently understands only English month names.

B (!)

Same as b.

d (!)

Day of the month as decimal number (01–31 or 0–31)

H (!)

Hours as decimal number (00–24 or 0–24).

I (!)

Hours as decimal number (01–12 or 1–12).

j

Day of year as decimal number (001–366 or 1–366).

q (!*)

Quarter (1–4). The quarter month is added to the parsed month if m element is present.

m (!*)

Month as decimal number (01–12 or 1–12). For parse_date_time also matches abbreviated and full months names as b and B formats. C parser understands only English month names.

M (!)

Minute as decimal number (00–59 or 0–59).

p (!)

AM/PM indicator in the locale. Commonly used in conjunction with I and not with H. But lubridate's C parser accepts H format as long as hour is not greater than 12. C parser understands only English locale AM/PM indicator.

S (!)

Second as decimal number (00–61 or 0–61), allowing for up to two leap-seconds (but POSIX-compliant implementations will ignore leap seconds).

OS

Fractional second.

U

Week of the year as decimal number (00–53 or 0–53) using Sunday as the first day 1 of the week (and typically with the first Sunday of the year as day 1 of week 1). The US convention.

w

Weekday as decimal number (0–6, Sunday is 0).

W

Week of the year as decimal number (00–53 or 0–53) using Monday as the first day of week (and typically with the first Monday of the year as day 1 of week 1). The UK convention.

y (!*)

Year without century (00–99 or 0–99). In parse_date_time() also matches year with century (Y format).

Y (!)

Year with century.

z (!*)

ISO8601 signed offset in hours and minutes from UTC. For example -0800, -08:00 or -08, all represent 8 hours behind UTC. This format also matches the Z (Zulu) UTC indicator. Because base::strptime() doesn't fully support ISO8601 this format is implemented as an union of 4 formats: Ou (Z), Oz (-0800), OO (-08:00) and Oo (-08). You can use these formats as any other but it is rarely necessary. parse_date_time2() and fast_strptime() support all of these formats.

Om (!*)

Matches numeric month and English alphabetic months (Both, long and abbreviated forms).

Op (!*)

Matches AM/PM English indicator.

r (*)

Matches Ip and H orders.

R (*)

Matches HM andIMp orders.

T (*)

Matches IMSp, HMS, and HMOS orders.

Value

a vector of POSIXct date-time objects

Note

parse_date_time() (and the derivatives ymd(), ymd_hms(), etc.) relies on a sparse guesser that takes at most 501 elements from the supplied character vector in order to identify appropriate formats from the supplied orders. If you get the error ⁠All formats failed to parse⁠ and you are confident that your vector contains valid dates, you should either set exact argument to TRUE or use functions that don't perform format guessing (fast_strptime(), parse_date_time2() or base::strptime()).

For performance reasons, when timezone is not UTC, parse_date_time2() and fast_strptime() perform no validity checks for daylight savings time. Thus, if your input string contains an invalid date time which falls into DST gap and lt = TRUE you will get an POSIXlt object with a non-existent time. If lt = FALSE your time instant will be adjusted to a valid time by adding an hour. See examples. If you want to get NA for invalid date-times use fit_to_timeline() explicitly.

See Also

base::strptime(), ymd(), ymd_hms()

Examples

## ** orders are much easier to write **
x <- c("09-01-01", "09-01-02", "09-01-03")
parse_date_time(x, "ymd")
parse_date_time(x, "y m d")
parse_date_time(x, "%y%m%d")
#  "2009-01-01 UTC" "2009-01-02 UTC" "2009-01-03 UTC"

## ** heterogeneous date-times **
x <- c("09-01-01", "090102", "09-01 03", "09-01-03 12:02")
parse_date_time(x, c("ymd", "ymd HM"))

## ** different ymd orders **
x <- c("2009-01-01", "02022010", "02-02-2010")
parse_date_time(x, c("dmY", "ymd"))
##  "2009-01-01 UTC" "2010-02-02 UTC" "2010-02-02 UTC"

## ** truncated time-dates **
x <- c("2011-12-31 12:59:59", "2010-01-01 12:11", "2010-01-01 12", "2010-01-01")
parse_date_time(x, "Ymd HMS", truncated = 3)

## ** specifying exact formats and avoiding training and guessing **
parse_date_time(x, c("%m-%d-%y", "%m%d%y", "%m-%d-%y %H:%M"), exact = TRUE)
parse_date_time(c('12/17/1996 04:00:00','4/18/1950 0130'),
                c('%m/%d/%Y %I:%M:%S','%m/%d/%Y %H%M'), exact = TRUE)

## ** quarters and partial dates **
parse_date_time(c("2016.2", "2016-04"), orders = "Yq")
parse_date_time(c("2016", "2016-04"), orders = c("Y", "Ym"))

## ** fast parsing **
## Not run: 
  options(digits.secs = 3)
  ## random times between 1400 and 3000
  tt <- as.character(.POSIXct(runif(1000, -17987443200, 32503680000)))
  tt <- rep.int(tt, 1000)

  system.time(out <- as.POSIXct(tt, tz = "UTC"))
  system.time(out1 <- ymd_hms(tt)) # constant overhead on long vectors
  system.time(out2 <- parse_date_time2(tt, "YmdHMOS"))
  system.time(out3 <- fast_strptime(tt, "%Y-%m-%d %H:%M:%OS"))

  all.equal(out, out1)
  all.equal(out, out2)
  all.equal(out, out3)

## End(Not run)

## ** how to use `select_formats` argument **
## By default %Y has precedence:
parse_date_time(c("27-09-13", "27-09-2013"), "dmy")

## to give priority to %y format, define your own select_format function:

my_select <-   function(trained, drop=FALSE, ...){
   n_fmts <- nchar(gsub("[^%]", "", names(trained))) + grepl("%y", names(trained))*1.5
   names(trained[ which.max(n_fmts) ])
}

parse_date_time(c("27-09-13", "27-09-2013"), "dmy", select_formats = my_select)

## ** invalid times with "fast" parsing **
parse_date_time("2010-03-14 02:05:06",  "YmdHMS", tz = "America/New_York")
parse_date_time2("2010-03-14 02:05:06",  "YmdHMS", tz = "America/New_York")
parse_date_time2("2010-03-14 02:05:06",  "YmdHMS", tz = "America/New_York", lt = TRUE)

Description

period() creates or parses a period object with the specified values.

Usage

period(num = NULL, units = "second", ...)

is.period(x)

seconds(x = 1)

minutes(x = 1)

hours(x = 1)

days(x = 1)

weeks(x = 1)

years(x = 1)

milliseconds(x = 1)

microseconds(x = 1)

nanoseconds(x = 1)

picoseconds(x = 1)

## S3 method for class 'numeric'
months(x, abbreviate)

Arguments

Details

Within a Period object, time units do not have a fixed length (except for seconds) until they are added to a date-time. The length of each time unit will depend on the date-time to which it is added. For example, a year that begins on 2009-01-01 will be 365 days long. A year that begins on 2012-01-01 will be 366 days long. When math is performed with a period object, each unit is applied separately. How the length of a period is distributed among its units is non-trivial. For example, when leap seconds occur 1 minute is longer than 60 seconds.

Periods track the change in the "clock time" between two date-times. They are measured in common time related units: years, months, days, hours, minutes, and seconds. Each unit except for seconds must be expressed in integer values.

Besides the main constructor and parser period(), period objects can also be created with the specialized functions years(), months(), weeks(), days(), hours(), minutes(), and seconds(). These objects can be added to and subtracted to date-times to create a user interface similar to object oriented programming.

Note: Arithmetic with periods can result in undefined behavior when non-existent dates are involved (such as February 29th in non-leap years). Please see Period for more details and %m+% and add_with_rollback() for alternative operations.

Value

a period object

See Also

Period, period(), %m+%, add_with_rollback()

Examples

### Separate period and units vectors

period(c(90, 5), c("second", "minute"))
#  "5M 90S"
period(-1, "days")
period(c(3, 1, 2, 13, 1), c("second", "minute", "hour", "day", "week"))
period(c(1, -60), c("hour", "minute"))
period(0, "second")

### Units as arguments

period(second = 90, minute = 5)
period(day = -1)
period(second = 3, minute = 1, hour = 2, day = 13, week = 1)
period(hour = 1, minute = -60)
period(second = 0)
period(c(1, -60), c("hour", "minute"), hour = c(1, 2), minute = c(3, 4))

### Lubridate style parsing

period("2M 1sec")
period("2hours 2minutes 1second")
period("2d 2H 2M 2S")
period("2days 2hours 2mins 2secs")
period("2 days, 2 hours, 2 mins, 2 secs")
# Missing numerals default to 1. Repeated units are added up.
period("day day")

### ISO 8601 parsing

period("P10M23DT23H") # M stands for months
period("10DT10M") # M stands for minutes
period("P3Y6M4DT12H30M5S") # M for both minutes and months
period("P23DT60H 20min 100 sec") # mixing ISO and lubridate style parsing

### Comparison with characters (from v1.6.0)

period("day 2 sec") > "day 1sec"

### Elementary Constructors

x <- ymd("2009-08-03")
x + days(1) + hours(6) + minutes(30)
x + days(100) - hours(8)

class(as.Date("2009-08-09") + days(1)) # retains Date class
as.Date("2009-08-09") + hours(12)
class(as.Date("2009-08-09") + hours(12))
# converts to POSIXt class to accomodate time units

years(1) - months(7)
c(1:3) * hours(1)
hours(1:3)

# sequencing
y <- ymd(090101) # "2009-01-01 CST"
y + months(0:11)

# compare DST handling to durations
boundary <- ymd_hms("2009-03-08 01:59:59", tz = "America/Chicago")
boundary + days(1) # period
boundary + ddays(1) # duration
is.period(as.Date("2009-08-03")) # FALSE
is.period(period(months = 1, days = 15)) # TRUE

Description

period_to_seconds() approximately converts a period to seconds assuming there are 365.25 days in a calendar year and 365.25/12 days in a month.

seconds_to_period() create a period that has the maximum number of non-zero elements (days, hours, minutes, seconds). This computation is exact because it doesn't involve years or months.

Usage

period_to_seconds(x)

seconds_to_period(x)

Arguments

Value

A number (period) that roughly equates to the period (seconds) given.

Description

pretty_dates() identifies which unit of time the sub-intervals should be measured in to provide approximately n breaks, then chooses a "pretty" length for the sub-intervals and sets start and end points that 1) span the entire range of the data, and 2) allow the breaks to occur on important date-times (i.e. on the hour, on the first of the month, etc.)

Usage

pretty_dates(x, n, ...)

Arguments

Value

a vector of date-times that can be used as axis tick marks or bin breaks

Examples

x <- seq.Date(as.Date("2009-08-02"), by = "year", length.out = 2)
pretty_dates(x, 12)

Description

Quarters divide the year into fourths. Semesters divide the year into halfs.

Usage

quarter(
  x,
  type = "quarter",
  fiscal_start = 1,
  with_year = identical(type, "year.quarter")
)

semester(x, with_year = FALSE)

Arguments

Value

numeric or a vector of class POSIXct if type argument is date_first or date_last. When type is year.quarter the year returned is the end year of the financial year.

Examples

x <- ymd(c("2012-03-26", "2012-05-04", "2012-09-23", "2012-12-31"))
quarter(x)
quarter(x, type = "year.quarter")
quarter(x, type = "year.quarter", fiscal_start = 11)
quarter(x, type = "date_first", fiscal_start = 11)
quarter(x, type = "date_last", fiscal_start = 11)
semester(x)
semester(x, with_year = TRUE)

Description

rollbackward() changes a date to the last day of the previous month or to the first day of the month. rollforward() rolls to the last day of the current month or to the first day of the next month. Optionally, the new date can retain the same hour, minute, and second information. rollback() is a synonym for rollbackward().

Usage

rollbackward(dates, roll_to_first = FALSE, preserve_hms = TRUE)

rollback(dates, roll_to_first = FALSE, preserve_hms = TRUE)

rollforward(dates, roll_to_first = FALSE, preserve_hms = TRUE)

Arguments

Value

A date-time object of class POSIXlt, POSIXct or Date, whose day has been adjusted to the last day of the previous month, or to the first day of the month.

Examples

date <- ymd("2010-03-03")
rollbackward(date)

dates <- date + months(0:2)
rollbackward(dates)

date <- ymd_hms("2010-03-03 12:44:22")
rollbackward(date)
rollbackward(date, roll_to_first = TRUE)
rollbackward(date, preserve_hms = FALSE)
rollbackward(date, roll_to_first = TRUE, preserve_hms = FALSE)

Description

round_date() takes a date-time object and time unit, and rounds it to the nearest value of the specified time unit. For rounding date-times which are exactly halfway between two consecutive units, the convention is to round up. Note that this is in line with the behavior of R's base::round.POSIXt() function but does not follow the convention of the base base::round() function which "rounds to the even digit", as per IEC 60559.

Rounding to the nearest unit or multiple of a unit is supported. All meaningful specifications in the English language are supported - secs, min, mins, 2 minutes, 3 years etc.

Rounding to fractional seconds is also supported. Please note that rounding to fractions smaller than 1 second can lead to large precision errors due to the floating point representation of the POSIXct objects. See examples.

floor_date() takes a date-time object and rounds it down to the nearest boundary of the specified time unit.

ceiling_date() takes a date-time object and rounds it up to the nearest boundary of the specified time unit.

Usage

round_date(
  x,
  unit = "second",
  week_start = getOption("lubridate.week.start", 7)
)

floor_date(
  x,
  unit = "seconds",
  week_start = getOption("lubridate.week.start", 7)
)

ceiling_date(
  x,
  unit = "seconds",
  change_on_boundary = NULL,
  week_start = getOption("lubridate.week.start", 7)
)

Arguments

Details

In lubridate, functions that round date-time objects try to preserve the class of the input object whenever possible. This is done by first rounding to an instant, and then converting to the original class as per usual R conventions.

Value

When unit is a string, return a Date object if x is a Date and unit is larger or equal than "day", otherwise a POSIXct object. When unit is a date-time object, return a date-time object of the same class and same time zone as unit.

Rounding Up Date Objects

By default, rounding up Date objects follows 3 steps:

1. Convert to an instant representing lower bound of the Date: 2000-01-01 –> ⁠2000-01-01 00:00:00⁠

2. Round up to the next closest rounding unit boundary. For example, if the rounding unit is month then next closest boundary of 2000-01-01 is ⁠2000-02-01 00:00:00⁠.

   The motivation for this is that the "partial" 2000-01-01 is conceptually an interval (⁠2000-01-01 00:00:00⁠ – ⁠2000-01-02 00:00:00⁠) and the day hasn't started clocking yet at the exact boundary 00:00:00. Thus, it seems wrong to round a day to its lower boundary.

   Behavior on the boundary can be changed by setting change_on_boundary to TRUE or FALSE.

3. If the rounding unit is smaller than a day, return the instant from step 2 (POSIXct), otherwise convert to and return a Date object.

See Also

base::round()

Examples

## print fractional seconds
options(digits.secs = 6)

x <- ymd_hms("2009-08-03 12:01:59.23")
round_date(x, ".5s")
round_date(x, "sec")
round_date(x, "second")
round_date(x, "minute")
round_date(x, "5 mins")
round_date(x, "hour")
round_date(x, "2 hours")
round_date(x, "day")
round_date(x, "week")
round_date(x, "month")
round_date(x, "bimonth")
round_date(x, "quarter") == round_date(x, "3 months")
round_date(x, "halfyear")
round_date(x, "year")

x <- ymd_hms("2009-08-03 12:01:59.23")
floor_date(x, ".1s")
floor_date(x, "second")
floor_date(x, "minute")
floor_date(x, "hour")
floor_date(x, "day")
floor_date(x, "week")
floor_date(x, "month")
floor_date(x, "bimonth")
floor_date(x, "quarter")
floor_date(x, "season")
floor_date(x, "halfyear")
floor_date(x, "year")

x <- ymd_hms("2009-08-03 12:01:59.23")
ceiling_date(x, ".1 sec") # imprecise representation at 0.1 sec !!!
ceiling_date(x, "second")
ceiling_date(x, "minute")
ceiling_date(x, "5 mins")
ceiling_date(x, "hour")
ceiling_date(x, "day")
ceiling_date(x, "week")
ceiling_date(x, "month")
ceiling_date(x, "bimonth") == ceiling_date(x, "2 months")
ceiling_date(x, "quarter")
ceiling_date(x, "season")
ceiling_date(x, "halfyear")
ceiling_date(x, "year")

## Period unit argument
floor_date(x, days(2))
floor_date(x, years(1))

## As of R 3.4.2 POSIXct printing of fractional numbers is wrong
as.POSIXct("2009-08-03 12:01:59.3") ## -> "2009-08-03 12:01:59.2 CEST"
ceiling_date(x, ".1 sec") ## -> "2009-08-03 12:01:59.2 CEST"

## behaviour of `change_on_boundary`
## As per default behaviour `NULL`, instants on the boundary remain the
## same but dates are rounded up
ceiling_date(ymd_hms("2000-01-01 00:00:00"), "month")
ceiling_date(ymd("2000-01-01"), "month")

## If `TRUE`, both instants and dates on the boundary are rounded up
ceiling_date(ymd_hms("2000-01-01 00:00:00"), "month", change_on_boundary = TRUE)
ceiling_date(ymd("2000-01-01"), "month")

## If `FALSE`, both instants and dates on the boundary remain the same
ceiling_date(ymd_hms("2000-01-01 00:00:00"), "month", change_on_boundary = FALSE)
ceiling_date(ymd("2000-01-01"), "month")

x <- ymd_hms("2000-01-01 00:00:00")
ceiling_date(x, "month")
ceiling_date(x, "month", change_on_boundary = TRUE)

## For Date objects first day of the month is not on the
## "boundary". change_on_boundary applies to instants only.
x <- ymd("2000-01-01")
ceiling_date(x, "month")
ceiling_date(x, "month", change_on_boundary = TRUE)

Description

Date-time must be a POSIXct, POSIXlt, Date, Period, chron, yearmon, yearqtr, zoo, zooreg, timeDate, xts, its, ti, jul, timeSeries, and fts objects.

Usage

second(x)

second(x) <- value

Arguments

Value

the seconds element of x as a decimal number

Examples

x <- ymd("2012-03-26")
second(x)
second(x) <- 1
second(x) <- 61
second(x) > 2

Description

Stamps are just like format(), but based on human-friendly templates like "Recorded at 10 am, September 2002" or "Meeting, Sunday May 1, 2000, at 10:20 pm".

Usage

stamp(
  x,
  orders = lubridate_formats,
  locale = Sys.getlocale("LC_TIME"),
  quiet = FALSE,
  exact = FALSE
)

stamp_date(x, locale = Sys.getlocale("LC_TIME"), quiet = FALSE)

stamp_time(x, locale = Sys.getlocale("LC_TIME"), quiet = FALSE)

Arguments

Details

stamp() is a stamping function date-time templates mainly, though it correctly handles all date and time formats as long as they are unambiguous. stamp_date(), and stamp_time() are the specialized stamps for dates and times (MHS). These function might be useful when the input template is unambiguous and matches both a time and a date format.

Lubridate tries hard to guess the formats, but often a given format can be interpreted in multiple ways. One way to deal with such cases is to provide unambiguous formats like 22/05/81 instead of 10/05/81 for d/m/y format. Another way is to use a more specialized stamp_date and stamp_time. The core function stamp() prioritizes longer date-time formats.

If x is a vector of values lubridate will choose the format which "fits" x the best. Note that longer formats are preferred. If you have "22:23:00 PM" then "HMSp" format will be given priority to shorter "HMS" order which also fits the supplied string.

Finally, you can give desired format order directly as orders argument.

Value

a function to be applied on a vector of dates

See Also

guess_formats(), parse_date_time(), strptime()

Examples

D <- ymd("2010-04-05") - days(1:5)
stamp("March 1, 1999")(D)
sf <- stamp("Created on Sunday, Jan 1, 1999 3:34 pm")
sf(D)
stamp("Jan 01")(D)
stamp("Sunday, May 1, 2000", locale = "C")(D)
stamp("Sun Aug 5")(D) #=> "Sun Aug 04" "Sat Aug 04" "Fri Aug 04" "Thu Aug 04" "Wed Aug 03"
stamp("12/31/99")(D)              #=> "06/09/11"
stamp("Sunday, May 1, 2000 22:10", locale = "C")(D)
stamp("2013-01-01T06:00:00Z")(D)
stamp("2013-01-01T00:00:00-06")(D)
stamp("2013-01-01T00:00:00-08:00")(force_tz(D, "America/Chicago"))

Description

Compute the exact length of a time span

Usage

time_length(x, unit = "second")

## S4 method for signature 'Interval'
time_length(x, unit = "second")

Arguments

Details

When x is an Interval object and unit are years or months, time_length() takes into account the fact that all months and years don't have the same number of days.

When x is a Duration, Period or difftime() object, length in months or years is based on their most common lengths in seconds (see timespan()).

Value

the length of the interval in the specified unit. A negative number connotes a negative interval or duration

See Also

timespan()

Examples

int <- interval(ymd("1980-01-01"), ymd("2014-09-18"))
time_length(int, "week")

# Exact age
time_length(int, "year")

# Age at last anniversary
trunc(time_length(int, "year"))

# Example of difference between intervals and durations
int <- interval(ymd("1900-01-01"), ymd("1999-12-31"))
time_length(int, "year")
time_length(as.duration(int), "year")

Description

A time span can be measured in three ways: as a duration, an interval, or a period.

• durations record the exact number of seconds in a time span. They measure the exact passage of time but do not always align with human measurements like hours, months and years.

• periods record the change in the clock time between two date-times. They are measured in human units: years, months, days, hours, minutes, and seconds.

• intervals are time spans bound by two real date-times. Intervals can be accurately converted to periods and durations.

Examples

duration(3690, "seconds")
period(3690, "seconds")
period(second = 30, minute = 1, hour = 1)
interval(ymd_hms("2009-08-09 13:01:30"), ymd_hms("2009-08-09 12:00:00"))

date <- ymd_hms("2009-03-08 01:59:59") # DST boundary
date + days(1)
date + ddays(1)

date2 <- ymd_hms("2000-02-29 12:00:00")
date2 + years(1)
# self corrects to next real day

date3 <- ymd_hms("2009-01-31 01:00:00")
date3 + c(0:11) * months(1)

span <- date2 %--% date # creates interval

date <- ymd_hms("2009-01-01 00:00:00")
date + years(1)
date - days(3) + hours(6)
date + 3 * seconds(10)

months(6) + days(1)

Description

Conveniently get and set the time zone of a date-time.

⁠tz<-⁠ is an alias for force_tz(), which preserves the local time, creating a different instant in time. Use with_tz() if you want keep the instant the same, but change the printed representation.

Usage

tz(x)

tz(x) <- value

Arguments

Value

A character vector of length 1. An empty string ("") represents your current time zone.

For backward compatibility, the time zone of a date, NA, or character vector is "UTC".

Valid time zones

Time zones are stored in system specific database, so are not guaranteed to be the same on every system (however, they are usually pretty similar unless your system is very out of date). You can see a complete list with OlsonNames().

See Also

See DateTimeClasses for a description of the underlying tzone attribute..

Examples

x <- y <- ymd_hms("2012-03-26 10:10:00", tz = "UTC")
tz(x)

# Note that setting tz() preserved the clock time, which implies
# that the actual instant in time is changing
tz(y) <- "Pacific/Auckland"
y
x - y

# This is the same as force_tz()
force_tz(x, "Pacific/Auckland")

# Use with_tz() if you want to change the time zone, leave
# the instant in time the same
with_tz(x, "Pacific/Auckland")

Description

week() returns the number of complete seven day periods that have occurred between the date and January 1st, plus one.

isoweek() returns the week as it would appear in the ISO 8601 system, which uses a reoccurring leap week.

epiweek() is the US CDC version of epidemiological week. It follows same rules as isoweek() but starts on Sunday. In other parts of the world the convention is to start epidemiological weeks on Monday, which is the same as isoweek.

Usage

week(x)

week(x) <- value

isoweek(x)

epiweek(x)

Arguments

Value

the weeks element of x as an integer number

References

https://en.wikipedia.org/wiki/ISO_week_date

See Also

isoyear()

Examples

x <- ymd("2012-03-26")
week(x)
week(x) <- 1
week(x) <- 54
week(x) > 3

Description

with_tz returns a date-time as it would appear in a different time zone. The actual moment of time measured does not change, just the time zone it is measured in. with_tz defaults to the Universal Coordinated time zone (UTC) when an unrecognized time zone is inputted. See Sys.timezone() for more information on how R recognizes time zones.

Usage

with_tz(time, tzone = "", ...)

## Default S3 method:
with_tz(time, tzone = "", ...)

Arguments

Value

a POSIXct object in the updated time zone

See Also

force_tz()

Examples

x <- ymd_hms("2009-08-07 00:00:01", tz = "America/New_York")
with_tz(x, "GMT")

Description

Date-time must be a POSIXct, POSIXlt, Date, Period or any other object convertible to POSIXlt.

isoyear() returns years according to the ISO 8601 week calendar.

epiyear() returns years according to the epidemiological week calendars.

Usage

year(x)

year(x) <- value

isoyear(x)

epiyear(x)

Arguments

Details

year does not yet support years before 0 C.E.

Value

the years element of x as a decimal number

References

https://en.wikipedia.org/wiki/ISO_week_date

Examples

x <- ymd("2012-03-26")
year(x)
year(x) <- 2001
year(x) > 1995

Description

Transforms dates stored in character and numeric vectors to Date or POSIXct objects (see tz argument). These functions recognize arbitrary non-digit separators as well as no separator. As long as the order of formats is correct, these functions will parse dates correctly even when the input vectors contain differently formatted dates. See examples.

Usage

ymd(
  ...,
  quiet = FALSE,
  tz = NULL,
  locale = Sys.getlocale("LC_TIME"),
  truncated = 0
)

ydm(
  ...,
  quiet = FALSE,
  tz = NULL,
  locale = Sys.getlocale("LC_TIME"),
  truncated = 0
)

mdy(
  ...,
  quiet = FALSE,
  tz = NULL,
  locale = Sys.getlocale("LC_TIME"),
  truncated = 0
)

myd(
  ...,
  quiet = FALSE,
  tz = NULL,
  locale = Sys.getlocale("LC_TIME"),
  truncated = 0
)

dmy(
  ...,
  quiet = FALSE,
  tz = NULL,
  locale = Sys.getlocale("LC_TIME"),
  truncated = 0
)

dym(
  ...,
  quiet = FALSE,
  tz = NULL,
  locale = Sys.getlocale("LC_TIME"),
  truncated = 0
)

yq(..., quiet = FALSE, tz = NULL, locale = Sys.getlocale("LC_TIME"))

ym(..., quiet = FALSE, tz = NULL, locale = Sys.getlocale("LC_TIME"))

my(..., quiet = FALSE, tz = NULL, locale = Sys.getlocale("LC_TIME"))

Arguments

Details

In case of heterogeneous date formats, the ymd() family guesses formats based on a subset of the input vector. If the input vector contains many missing values or non-date strings, the subset might not contain meaningful dates and the date-time format won't be guessed resulting in ⁠All formats failed to parse⁠ error. In such cases please see parse_date_time() for a more flexible parsing interface.

If the truncated parameter is non-zero, the ymd() functions also check for truncated formats. For example, ymd() with truncated = 2 will also parse incomplete dates like 2012-06 and 2012.

NOTE: The ymd() family of functions is based on parse_date_time() and thus directly drop to the internal C parser for numeric months, but uses base::strptime() for alphabetic months. This implies that some of base::strptime()'s limitations are inherited by lubridate's parser. For example, truncated formats (like ⁠%Y-%b⁠) will not be parsed. Numeric truncated formats (like ⁠%Y-%m⁠) are handled correctly by lubridate's C parser.

As of version 1.3.0, lubridate's parse functions no longer return a message that displays which format they used to parse their input. You can change this by setting the lubridate.verbose option to TRUE with options(lubridate.verbose = TRUE).

Value

a vector of class POSIXct if tz argument is non-NULL or Date if tz is NULL (default)

See Also

parse_date_time() for an even more flexible low level mechanism.

Examples

x <- c("09-01-01", "09-01-02", "09-01-03")
ymd(x)
x <- c("2009-01-01", "2009-01-02", "2009-01-03")
ymd(x)
ymd(090101, 90102)
now() > ymd(20090101)
## TRUE
dmy(010210)
mdy(010210)

yq('2014.2')

## heterogeneous formats in a single vector:
x <- c(20090101, "2009-01-02", "2009 01 03", "2009-1-4",
       "2009-1, 5", "Created on 2009 1 6", "200901 !!! 07")
ymd(x)

## What lubridate might not handle:

## Extremely weird cases when one of the separators is "" and some of the
## formats are not in double digits might not be parsed correctly:
## Not run: ymd("201002-01", "201002-1", "20102-1")
dmy("0312-2010", "312-2010")
## End(Not run)

Description

Transform dates stored as character or numeric vectors to POSIXct objects. The ymd_hms() family of functions recognizes all non-alphanumeric separators (with the exception of "." if frac = TRUE) and correctly handles heterogeneous date-time representations. For more flexibility in treatment of heterogeneous formats, see low level parser parse_date_time().

Usage

ymd_hms(
  ...,
  quiet = FALSE,
  tz = "UTC",
  locale = Sys.getlocale("LC_TIME"),
  truncated = 0
)

ymd_hm(
  ...,
  quiet = FALSE,
  tz = "UTC",
  locale = Sys.getlocale("LC_TIME"),
  truncated = 0
)

ymd_h(
  ...,
  quiet = FALSE,
  tz = "UTC",
  locale = Sys.getlocale("LC_TIME"),
  truncated = 0
)

dmy_hms(
  ...,
  quiet = FALSE,
  tz = "UTC",
  locale = Sys.getlocale("LC_TIME"),
  truncated = 0
)

dmy_hm(
  ...,
  quiet = FALSE,
  tz = "UTC",
  locale = Sys.getlocale("LC_TIME"),
  truncated = 0
)

dmy_h(
  ...,
  quiet = FALSE,
  tz = "UTC",
  locale = Sys.getlocale("LC_TIME"),
  truncated = 0
)

mdy_hms(
  ...,
  quiet = FALSE,
  tz = "UTC",
  locale = Sys.getlocale("LC_TIME"),
  truncated = 0
)

mdy_hm(
  ...,
  quiet = FALSE,
  tz = "UTC",
  locale = Sys.getlocale("LC_TIME"),
  truncated = 0
)

mdy_h(
  ...,
  quiet = FALSE,
  tz = "UTC",
  locale = Sys.getlocale("LC_TIME"),
  truncated = 0
)

ydm_hms(
  ...,
  quiet = FALSE,
  tz = "UTC",
  locale = Sys.getlocale("LC_TIME"),
  truncated = 0
)

ydm_hm(
  ...,
  quiet = FALSE,
  tz = "UTC",
  locale = Sys.getlocale("LC_TIME"),
  truncated = 0
)

ydm_h(
  ...,
  quiet = FALSE,
  tz = "UTC",
  locale = Sys.getlocale("LC_TIME"),
  truncated = 0
)

Arguments

Details

The ymd_hms() functions automatically assign the Universal Coordinated Time Zone (UTC) to the parsed date. This time zone can be changed with force_tz().

The most common type of irregularity in date-time data is the truncation due to rounding or unavailability of the time stamp. If the truncated parameter is non-zero, the ymd_hms() functions also check for truncated formats. For example, ymd_hms() with truncated = 3 will also parse incomplete dates like ⁠2012-06-01 12:23⁠, ⁠2012-06-01 12⁠ and 2012-06-01. NOTE: The ymd() family of functions is based on base::strptime() which currently fails to parse ⁠%y-%m⁠ formats.

In case of heterogeneous date formats the ymd_hms() family guesses formats based on a subset of the input vector. If the input vector contains many missing values or non-date strings, the subset might not contain meaningful dates and the date-time format won't be guessed resulting in ⁠All formats failed to parse⁠ error. In such cases please see parse_date_time() for a more flexible parsing interface.

As of version 1.3.0, lubridate's parse functions no longer return a message that displays which format they used to parse their input. You can change this by setting the lubridate.verbose option to TRUE with options(lubridate.verbose = TRUE).

Value

a vector of POSIXct date-time objects

See Also

• ymd(), hms()

• parse_date_time() for the underlying mechanism

Examples

x <- c("2010-04-14-04-35-59", "2010-04-01-12-00-00")
ymd_hms(x)
x <- c("2011-12-31 12:59:59", "2010-01-01 12:00:00")
ymd_hms(x)


## ** heterogeneous formats **
x <- c(20100101120101, "2009-01-02 12-01-02", "2009.01.03 12:01:03",
       "2009-1-4 12-1-4",
       "2009-1, 5 12:1, 5",
       "200901-08 1201-08",
       "2009 arbitrary 1 non-decimal 6 chars 12 in between 1 !!! 6",
       "OR collapsed formats: 20090107 120107 (as long as prefixed with zeros)",
       "Automatic wday, Thu, detection, 10-01-10 10:01:10 and p format: AM",
       "Created on 10-01-11 at 10:01:11 PM")
ymd_hms(x)

## ** fractional seconds **
op <- options(digits.secs=3)
dmy_hms("20/2/06 11:16:16.683")
options(op)

## ** different formats for ISO8601 timezone offset **
ymd_hms(c("2013-01-24 19:39:07.880-0600",
"2013-01-24 19:39:07.880", "2013-01-24 19:39:07.880-06:00",
"2013-01-24 19:39:07.880-06", "2013-01-24 19:39:07.880Z"))

## ** internationalization **
## Not run: 
x_RO <- "Ma 2012 august 14 11:28:30 "
  ymd_hms(x_RO, locale = "ro_RO.utf8")

## End(Not run)

## ** truncated time-dates **
x <- c("2011-12-31 12:59:59", "2010-01-01 12:11", "2010-01-01 12", "2010-01-01")
ymd_hms(x, truncated = 3)
x <- c("2011-12-31 12:59", "2010-01-01 12", "2010-01-01")
ymd_hm(x, truncated = 2)
## ** What lubridate might not handle **
## Extremely weird cases when one of the separators is "" and some of the
## formats are not in double digits might not be parsed correctly:
## Not run: 
ymd_hm("20100201 07-01", "20100201 07-1", "20100201 7-01")
## End(Not run)