c.timeline {datetime} | R Documentation |
Support for timepoint Classes
Description
These functions support classes timepoint, timeline, time, date, and datetime (and related functions). They are mostly S3 methods for base R generics.
Usage
## S3 method for class 'timeline'
c(..., recursive = FALSE)
## S3 method for class 'timeline'
x[..., drop = TRUE]
## S3 replacement method for class 'timepoint'
x[...] <- value
## S3 method for class 'timeline'
x[[..., drop = TRUE]]
## S3 method for class 'timepoint'
as.character(x, ...)
as.chartime(x, ...)
## S3 method for class 'numeric'
as.chartime(x, format, mark=TRUE,...)
## S3 method for class 'chartime'
as.numeric(x, format,...)
## S3 method for class 'timepoint'
print(x, ...)
## S3 method for class 'timeline'
rep(x, ...)
## S3 method for class 'timeline'
seq(from, to, by, length.out, along.with, ...)
Arguments
... |
arguments to |
recursive |
same meaning as for |
x |
object of class timepoint |
drop |
same meaning as for ‘[’ and ‘[[’ |
value |
value to be assigned, as for ‘[<-’ |
format |
input or output format describing character time (see |
mark |
boolean: mark times with dangling seconds using ‘+’ |
from |
as for |
to |
as for |
by |
as for |
length.out |
as for |
along.with |
as for |
Details
Normally you shouldn't need to worry about these functions. c
and the ‘[’
variants exist just so that class information is not lost on invocation of the
generic. as.character.timepoint
and print.timepoint
just call format
.
chartime
variants are used internally by other functions. seq.timeline
requires from
. If an interval cannot be calculated from supplied arguments,
by
is set to 1 hour for time
or 1 day for date
or datetime
.
Value
print |
an invisible object with same class as |
as.chartime |
generic: does not return |
as.chartime.numeric |
character (time) |
as.numeric.chartime |
numeric (seconds) |
as.character.timepoint |
character (time) |
others |
object with same class as |
Author(s)
Tim Bergsma
See Also
Examples
#as.data.frame
data.frame(
dt=as.datetime(seq(from=0,by=86500,length.out=3)),
d=as.date(seq(from=0,by=86400,length.out=3)),
t=as.time(c(60,120,180))
)
# dt d t
# 1 1970-01-01 00:00 1970-01-01 00:01
# 2 1970-01-02 00:01+ 1970-01-02 00:02
# 3 1970-01-03 00:03+ 1970-01-03 00:03
#combine
c(as.time(0),as.time(60))
# 00:00 00:01
c(as.date(0),as.date(86400))
# 1970-01-01 1970-01-02
c(as.datetime(0),as.datetime(86500))
# 1970-01-01T00:00 1970-01-02T00:01+
#subset
as.time(c('08:00','09:00'))[2]
# 09:00
as.date(c('2008-01-01','2008-01-04'))[2]
# 2008-01-04
as.datetime(c('2008-01-01T12:00','2008-01-04T12:30'))[2]
# 2008-01-04 12:30
#element selection
as.time(c('08:00','09:00'))[[2]]
# 09:00
as.date(c('2008-01-01','2008-01-04'))[[2]]
# 2008-01-04
as.datetime(c('2008-01-01T12:00','2008-01-04T12:30'))[[2]]
# 2008-01-04 12:30
#assignment
a <- as.time(seq(60,300, by=60))
a#00:01 00:02 00:03 00:04 00:05
a[5] <- 60
a#00:01 00:02 00:03 00:04 00:01
a[3] <- NA
a#00:01 00:02 <NA> 00:04 00:01
#identity
as.time(as.time(0))
# 00:00
as.date(as.date(0))
# 1970-01-01
as.datetime(as.datetime(0))
# 1970-01-01T00:00
#repetition
rep(as.time(86340),2)
# 23:59 23:59
#sequence
seq(from=as.time('00:00'),length.out=3)
seq(from=as.time('00:00'),by=as.time('00:05'),length.out=3)
seq(from=as.time('00:00'),by=as.time('00:05'),along.with=integer(3))
seq(from=as.time('00:00'),to=as.time('06:00'))
seq(from=as.time('00:00'),to=as.time('06:00'),by=as.time('02:00'))
seq(from=as.time('00:00'),to=as.time('06:00'),length.out=4)