Title:	Interactive Graphics for Tsibble Objects
Version:	0.1.0
Description:	A shared tsibble data easily communicates between htmlwidgets on both client and server sides, powered by 'crosstalk'. A shiny module is provided to visually explore periodic/aperiodic temporal patterns.
License:	GPL-3
Depends:	R (≥ 2.10)
Imports:	crosstalk (≥ 1.1.0.1), dendextend (≥ 1.13.4), dplyr (≥ 1.0.0), glue (≥ 1.4.1), lubridate (≥ 1.7.9), plotly (≥ 4.9.2.1), R6 (≥ 2.4.1), rlang (≥ 0.4.6), shiny (≥ 1.5.0), tsibble (≥ 0.9.1), vctrs (≥ 0.3.1)
Suggests:	fabletools (≥ 0.2.0), ggplot2
Encoding:	UTF-8
LazyData:	true
RoxygenNote:	7.1.1
NeedsCompilation:	no
Packaged:	2020-09-30 01:36:08 UTC; wany568
Author:	Earo Wang [aut, cre], Di Cook [aut]
Maintainer:	Earo Wang <earo.wang@gmail.com>
Repository:	CRAN
Date/Publication:	2020-10-02 08:40:02 UTC

tsibbletalk: Interactive Graphics for Tsibble Objects

Description

A shared tsibble data easily communicates between htmlwidgets on both client and server sides, powered by 'crosstalk'. A shiny module is provided to visually explore periodic/aperiodic temporal patterns.

Author(s)

Maintainer: Earo Wang earo.wang@gmail.com (ORCID)

Authors:

• Di Cook (ORCID)

Pipe operator

Description

Pipe operator

Usage

lhs %>% rhs

Coerce to a shared tsibble from tsibble

Description

Coerce to a shared tsibble from tsibble

Usage

as_shared_tsibble(x, spec)

Arguments

Examples

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

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

Examples

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

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)

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)

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

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)
}