Function reference • tsibble

Overview Describes the key components underlying a tsibble, or `tbl_ts`: index, key, interval.
`tsibble-package`	tsibble: tidy temporal data frames and tools
Create/coerce and append to a tsibble `tsibble()` creates a `tbl_ts`; `as_tsibble()` coerces other objects to `tbl_ts`.
`tsibble()`	Create a tsibble object
`as_tsibble()`	Coerce to a tsibble object
`is_tsibble()` `is_grouped_ts()`	If the object is a tsibble
`update_tsibble()`	Update key and index for a tsibble
`new_data()` `append_row()`	New tsibble data and append new observations to a tsibble
`is_duplicated()` `are_duplicated()` `duplicates()`	Test duplicated observations determined by key and index variables
Tsibble verbs Verbs that manipulate data in time-based context. Inspect implicit time gaps with `has_gaps()`, `scan_gaps()`, `count_gaps()` and `fill_gaps()`. `filter_index()` is a shorthand for filtering time index. `index_by()` and `group_by_key()` create a grouped tsibble, or `grouped_ts`, but how the data looks remains unchanged. Both requires to work with other `tidyverse` verbs.
`has_gaps()`	Does a tsibble have implicit gaps in time?
`scan_gaps()`	Scan a tsibble for implicit missing observations
`count_gaps()`	Count implicit gaps
`fill_gaps()`	Turn implicit missing values into explicit missing values
`index_by()`	Group by time index and collapse with `summarise()`
`group_by_key()`	Group by key variables
`filter_index()`	A shorthand for filtering time index for a tsibble
Tidyverse methods Dplyr and tidyr verbs that support manipulating and reshaping `tbl_ts` in time-based context.
`tsibble-tidyverse`	Tidyverse methods for tsibble
Vector operations
`difference()`	Lagged differences
Index classes New S3 classes to represent year-week, year-month, and year-quarter.
`yearmonth()` `make_yearmonth()` `is_yearmonth()`	Represent year-month
`yearquarter()` `make_yearquarter()` `is_yearquarter()` `fiscal_year()`	Represent year-quarter
`yearweek()` `make_yearweek()` `is_yearweek()` `is_53weeks()`	Represent year-week based on the ISO 8601 standard (with flexible start day)
`time_in()`	If time falls in the ranges using compact expressions
`guess_frequency()`	Guess a time frequency from other index objects
`scale_x_yearquarter()` `scale_y_yearquarter()` `scale_x_yearmonth()` `scale_y_yearmonth()` `scale_x_yearweek()` `scale_y_yearweek()`	tsibble scales for ggplot2
Calendar
`holiday_aus()`	Australian national and state-based public holiday
Metadata
`key()` `key_vars()`	Return key variables
`key_data()` `key_rows()` `key_size()` `n_keys()`	Key metadata
`index()` `index_var()` `index2()` `index2_var()`	Return index variable from a tsibble
`measures()` `measured_vars()`	Return measured variables
`interval()` `is_regular()` `is_ordered()`	Meta-information of a tsibble
Extend tsibble Add tsibble support for custom index classes with `index_valid()` & `interval_pull()`. `build_tsibble()` provides low-level construction for tsibble. Create a subclass of the tsibble with `new_tsibble()`.
`index_valid()`	Add custom index support for a tsibble
`interval_pull()`	Pull time interval from a vector
`new_interval()` `is_regular_interval()` `gcd_interval()`	Interval constructor for a tsibble
`new_tsibble()`	Create a subclass of a tsibble
`build_tsibble()`	Low-level constructor for a tsibble object
Coerce to other objects
`as.ts(<tbl_ts>)`	Coerce a tsibble to a time series
`as_tibble(<tbl_ts>)`	Coerce to a tibble or data frame
Data
`pedestrian`	Pedestrian counts in the city of Melbourne
`tourism`	Australian domestic overnight trips

Reference

Overview

Create/coerce and append to a tsibble

Tsibble verbs

Tidyverse methods

Vector operations

Index classes

Calendar

Metadata

Extend tsibble

Coerce to other objects

Data