Package 'tsibbletalk'

Coerce to a shared tsibble from tsibble

Description

Coerce to a shared tsibble from tsibble

Usage

as_shared_tsibble(x, spec)

Arguments

x	A tsibble.
spec	A formula to specify tsibble key structures. By default, crossing structures (i.e key1 * key2) are assumed for the key. The required specification for nesting is parent / child.

Details

The object returned from as_shared_tsibble() can be piped into all plotly functions to be visualised.

Value

SharedTsibbleData subclassing of SharedData from crosstalk

Examples

library(tsibble)
as_shared_tsibble(tourism, spec = (State / Region) * Purpose)

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Plot nesting structures in shared tsibbles using plotly

Description

Plot nesting structures in shared tsibbles using plotly

Usage

plotly_key_tree(data, height = NULL, width = NULL, ...)

Arguments

data	A shared tsibble.
height	height
width	width
...	arguments supplied to subplot()

Examples

if (interactive()) {
  shared_tourism <- as_shared_tsibble(tourism_monthly,
    spec = (State / Region) * Purpose)
  plotly_key_tree(shared_tourism)
}

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Yearly mean total sunspot number (1700 - 2019)

Description

Yearly mean total sunspot number (1700 - 2019)

Usage

sunspots2019

Format

An object of class tbl_ts (inherits from tbl_df, tbl, data.frame) with 320 rows and 2 columns.

References

WDC-SILSO, Royal Observatory of Belgium, Brussels

Examples

data(sunspots2019)

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Monthly Australian domestic overnight trips

Description

A dataset containing the monthly overnight trips from 1998 Jan to 2019 Dec across Australia.

Usage

tourism_monthly

Format

A tsibble with 80,696 rows and 5 variables:

• Month: Year month (index)

• State: States and territories of Australia

• Region: The tourism regions are formed through the aggregation of Statistical Local Areas (SLAs) which are defined by the various State and Territory tourism authorities according to their research and marketing needs

• Purpose: Stopover purpose of visit:

  • "Holiday"

  • "Visiting friends and relatives"

  • "Business"

  • "Other reason"

• Trips: Overnight trips in thousands

References

Tourism Research Australia

Examples

data(tourism_monthly)

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A shiny module to easily slice and dice tsibble index for visualising periodicity

Description

A pair of UI and server functions: tsibbleWrapUI() and tsibbleWrapServer().

Usage

tsibbleWrapUI(id)

tsibbleWrapServer(id, plot, period)

Arguments

id	A unique shiny id.
plot	A ggplot or plotly object.
period	A string passed to lubridate::period() to specify the minimum seasonal period, for example "1 day".

Examples

if (interactive()) {
  library(tsibble)
  library(dplyr)
  library(shiny)
  library(ggplot2)
  p <- tourism %>%
    filter(Region %in% c("Melbourne", "Sydney")) %>%
    ggplot(aes(x = Quarter, y = Trips, colour = Region)) +
    geom_line() +
    facet_wrap(~ Purpose, scales = "free_y") +
    theme(legend.position = "none")

  ui <- fluidPage(tsibbleWrapUI("dice"))
  server <- function(input, output, session) {
    tsibbleWrapServer("dice", p, period = "1 year")
  }
  shinyApp(ui, server)
}

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