Package index • 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() stable: Create a tsibble object

as_tsibble() stable: Coerce to a tsibble object

is_tsibble() is_grouped_ts() stable: If the object is a tsibble

update_tsibble(): Update key and index for a tsibble

new_data() append_row() stable: New tsibble data and append new observations to a tsibble

is_duplicated() are_duplicated() duplicates() stable: 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() stable: Turn implicit missing values into explicit missing values

index_by() stable: Group by time index and collapse with summarise()

group_by_key() stable: 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() stable: Lagged differences

Index classes

New S3 classes to represent year-week, year-month, and year-quarter.

yearmonth() make_yearmonth() is_yearmonth() stable: Represent year-month

yearquarter() make_yearquarter() is_yearquarter() fiscal_year() stable: Represent year-quarter

yearweek() make_yearweek() is_yearweek() is_53weeks() stable: 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() stable: 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() stable: Add custom index support for a tsibble

interval_pull() stable: Pull time interval from a vector

new_interval() is_regular_interval() gcd_interval() stable: 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>) stable: 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