tsibble {tsibble} | R Documentation |
Create a tsibble object
Description
Usage
tsibble(..., key = NULL, index, regular = TRUE, .drop = TRUE)
Arguments
... |
A set of name-value pairs. |
key |
Variable(s) that uniquely determine time indices. |
index |
A variable to specify the time index variable. |
regular |
Regular time interval ( |
.drop |
If |
Details
A tsibble is sorted by its key first and index.
Value
A tsibble object.
Index
An extensive range of indices are supported by tsibble:
native time classes in R (such as
Date
,POSIXct
, anddifftime
)tsibble's new additions (such as yearweek, yearmonth, and yearquarter).
other commonly-used classes:
ordered
,hms::hms
,lubridate::period
, andnanotime::nanotime
.
For a tbl_ts
of regular interval, a choice of index representation has to
be made. For example, a monthly data should correspond to time index created
by yearmonth, instead of Date
or POSIXct
. Because months in a year
ensures the regularity, 12 months every year. However, if using Date
, a
month containing days ranges from 28 to 31 days, which results in irregular
time space. This is also applicable to year-week and year-quarter.
Tsibble supports arbitrary index classes, as long as they can be ordered from
past to future. To support a custom class, you need to define index_valid()
for the class and calculate the interval through interval_pull()
.
Key
Key variable(s) together with the index uniquely identifies each record:
Empty: an implicit variable.
NULL
resulting in a univariate time series.A single variable: For example,
data(pedestrian)
usesSensor
as the key.Multiple variables: For example, Declare
key = c(Region, State, Purpose)
fordata(tourism)
. Key can be created in conjunction with tidy selectors likestarts_with()
.
Interval
The interval function returns the interval associated with the tsibble.
Regular: the value and its time unit including "nanosecond", "microsecond", "millisecond", "second", "minute", "hour", "day", "week", "month", "quarter", "year". An unrecognisable time interval is labelled as "unit".
Irregular:
as_tsibble(regular = FALSE)
gives the irregular tsibble. It is marked with!
.Unknown: Not determined (
?
), if it's an empty tsibble, or one entry for each key variable.
An interval is obtained based on the corresponding index representation:
integerish numerics between 1582 and 2499: "year" (
Y
). Note the year of 1582 saw the beginning of the Gregorian Calendar switch.-
yearquarter
: "quarter" (Q
) -
yearmonth
: "month" (M
) -
yearweek
: "week" (W
) -
Date
: "day" (D
) -
difftime
: "week" (W
), "day" (D), "hour" (h
), "minute" (m
), "second" (s
) -
POSIXt
/hms
: "hour" (h
), "minute" (m
), "second" (s
), "millisecond" (us
), "microsecond" (ms
) -
period
: "year" (Y
), "month" (M
), "day" (D
), "hour" (h
), "minute" (m
), "second" (s
), "millisecond" (us
), "microsecond" (ms
) -
nanotime
: "nanosecond" (ns
) other numerics &
ordered
(ordered factor): "unit" When the interval cannot be obtained due to the mismatched index format, an error is issued.
The interval is invariant to subsetting, such as filter()
, slice()
, and [.tbl_ts
.
However, if the result is an empty tsibble, the interval is always unknown.
When joining a tsibble with other data sources and aggregating to different
time scales, the interval gets re-calculated.
See Also
Examples
# create a tsibble w/o a key
tsibble(
date = as.Date("2017-01-01") + 0:9,
value = rnorm(10)
)
# create a tsibble with a single variable for key
tsibble(
qtr = rep(yearquarter("2010 Q1") + 0:9, 3),
group = rep(c("x", "y", "z"), each = 10),
value = rnorm(30),
key = group
)
# create a tsibble with multiple variables for key
tsibble(
mth = rep(yearmonth("2010 Jan") + 0:8, each = 3),
xyz = rep(c("x", "y", "z"), each = 9),
abc = rep(letters[1:3], times = 9),
value = rnorm(27),
key = c(xyz, abc)
)
# create a tsibble containing "key" and "index" as column names
tsibble(!!!list(
index = rep(yearquarter("2010 Q1") + 0:9, 3),
key = rep(c("x", "y", "z"), each = 10),
value = rnorm(30)),
key = key, index = index
)