| 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
x |
A tsibble. |
spec |
A formula to specify tsibble key structures. By default, crossing
structures (i.e |
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
data |
A shared tsibble. |
height |
height |
width |
width |
... |
arguments supplied to |
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
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
id |
A unique shiny id. |
plot |
A |
period |
A string passed to |
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)
}