Title: | Create Interactive Timeline Visualizations in R |
---|---|
Description: | Create rich and fully interactive timeline visualizations. Timelines can be included in Shiny apps or R markdown documents. 'timevis' includes an extensive API to manipulate a timeline after creation, and supports getting data out of the visualization into R. Based on the 'vis.js' Timeline JavaScript library. |
Authors: | Dean Attali [aut, cre] (R interface, <https://orcid.org/0000-0002-5645-3493>), Almende B.V. [aut, cph] (vis.js Timeline library, https://visjs.github.io/vis-timeline/docs/timeline/) |
Maintainer: | Dean Attali <[email protected]> |
License: | MIT + file LICENSE |
Version: | 2.1.0.9000 |
Built: | 2024-11-16 05:35:52 UTC |
Source: | https://github.com/daattali/timevis |
Add a new vertical bar at a time point that can be dragged by the user
addCustomTime(id, time, itemId)
addCustomTime(id, time, itemId)
id |
Timeline id or a |
time |
The date/time to add |
itemId |
The id of the custom time bar |
## Not run: timevis() %>% addCustomTime(Sys.Date() - 1, "yesterday") ## End(Not run) if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), actionButton("btn", "Add time bar 24 hours ago") ), server = function(input, output) { output$timeline <- renderTimevis( timevis() ) observeEvent(input$btn, { addCustomTime("timeline", Sys.Date() - 1, "yesterday") }) } ) }
## Not run: timevis() %>% addCustomTime(Sys.Date() - 1, "yesterday") ## End(Not run) if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), actionButton("btn", "Add time bar 24 hours ago") ), server = function(input, output) { output$timeline <- renderTimevis( timevis() ) observeEvent(input$btn, { addCustomTime("timeline", Sys.Date() - 1, "yesterday") }) } ) }
Add a single item to a timeline
addItem(id, data)
addItem(id, data)
id |
Timeline id or a |
data |
A named list containing the item data to add. |
## Not run: timevis() %>% addItem(list(start = Sys.Date(), content = "Today")) ## End(Not run) if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), actionButton("btn", "Add item today") ), server = function(input, output) { output$timeline <- renderTimevis( timevis() ) observeEvent(input$btn, { addItem("timeline", list(start = Sys.Date(), content = "Today")) }) } ) }
## Not run: timevis() %>% addItem(list(start = Sys.Date(), content = "Today")) ## End(Not run) if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), actionButton("btn", "Add item today") ), server = function(input, output) { output$timeline <- renderTimevis( timevis() ) observeEvent(input$btn, { addItem("timeline", list(start = Sys.Date(), content = "Today")) }) } ) }
Add multiple items to a timeline
addItems(id, data)
addItems(id, data)
id |
Timeline id or a |
data |
A dataframe containing the items data to add. |
## Not run: timevis() %>% addItems(data.frame(start = c(Sys.Date(), Sys.Date() - 1), content = c("Today", "Yesterday"))) ## End(Not run) if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), actionButton("btn", "Add items today and yesterday") ), server = function(input, output) { output$timeline <- renderTimevis( timevis() ) observeEvent(input$btn, { addItems("timeline", data.frame(start = c(Sys.Date(), Sys.Date() - 1), content = c("Today", "Yesterday"))) }) } ) }
## Not run: timevis() %>% addItems(data.frame(start = c(Sys.Date(), Sys.Date() - 1), content = c("Today", "Yesterday"))) ## End(Not run) if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), actionButton("btn", "Add items today and yesterday") ), server = function(input, output) { output$timeline <- renderTimevis( timevis() ) observeEvent(input$btn, { addItems("timeline", data.frame(start = c(Sys.Date(), Sys.Date() - 1), content = c("Today", "Yesterday"))) }) } ) }
Move the window such that given item or items are centered
centerItem(id, itemId, options)
centerItem(id, itemId, options)
id |
Timeline id or a |
itemId |
A vector (or single value) of the item ids to center |
options |
Named list of options controlling mainly the animation.
Most common option is |
## Not run: timevis(data.frame( start = c(Sys.Date() - 1, Sys.Date(), Sys.Date() + 1), content = c("Item 1", "Item 2", "Item 3")) ) %>% centerItem(1) ## End(Not run) if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), actionButton("btn", "Center around item 1") ), server = function(input, output) { output$timeline <- renderTimevis( timevis( data.frame( start = c(Sys.Date() - 1, Sys.Date(), Sys.Date() + 1), content = c("Item 1", "Item 2", "Item 3")) ) ) observeEvent(input$btn, { centerItem("timeline", 1) }) } ) }
## Not run: timevis(data.frame( start = c(Sys.Date() - 1, Sys.Date(), Sys.Date() + 1), content = c("Item 1", "Item 2", "Item 3")) ) %>% centerItem(1) ## End(Not run) if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), actionButton("btn", "Center around item 1") ), server = function(input, output) { output$timeline <- renderTimevis( timevis( data.frame( start = c(Sys.Date() - 1, Sys.Date(), Sys.Date() + 1), content = c("Item 1", "Item 2", "Item 3")) ) ) observeEvent(input$btn, { centerItem("timeline", 1) }) } ) }
Move the window such that the given time is centered
centerTime(id, time, options)
centerTime(id, time, options)
id |
Timeline id or a |
time |
The date/time to center around |
options |
Named list of options controlling the animation. Most common
option is |
## Not run: timevis() %>% centerTime(Sys.Date() - 1) ## End(Not run) if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), actionButton("btn", "Center around 24 hours ago") ), server = function(input, output) { output$timeline <- renderTimevis( timevis() ) observeEvent(input$btn, { centerTime("timeline", Sys.Date() - 1) }) } ) }
## Not run: timevis() %>% centerTime(Sys.Date() - 1) ## End(Not run) if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), actionButton("btn", "Center around 24 hours ago") ), server = function(input, output) { output$timeline <- renderTimevis( timevis() ) observeEvent(input$btn, { centerTime("timeline", Sys.Date() - 1) }) } ) }
Adjust the visible window such that it fits all items
fitWindow(id, options)
fitWindow(id, options)
id |
Timeline id or a |
options |
Named list of options controlling the animation. Most common
option is |
if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), actionButton("btn", "Fit all items") ), server = function(input, output) { output$timeline <- renderTimevis( timevis(data.frame( start = c(Sys.Date(), Sys.Date() - 1), content = c("1", "2") )) ) observeEvent(input$btn, { fitWindow("timeline", list(animation = FALSE)) }) } ) }
if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), actionButton("btn", "Fit all items") ), server = function(input, output) { output$timeline <- renderTimevis( timevis(data.frame( start = c(Sys.Date(), Sys.Date() - 1), content = c("1", "2") )) ) observeEvent(input$btn, { fitWindow("timeline", list(animation = FALSE)) }) } ) }
Remove a custom time previously added
removeCustomTime(id, itemId)
removeCustomTime(id, itemId)
id |
Timeline id or a |
itemId |
The id of the custom time bar |
## Not run: timevis() %>% addCustomTime(Sys.Date() - 1, "yesterday") %>% addCustomTime(Sys.Date() + 1, "tomorrow") %>% removeCustomTime("yesterday") ## End(Not run) if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), actionButton("btn0", "Add custom time"), actionButton("btn", "Remove custom time bar") ), server = function(input, output) { output$timeline <- renderTimevis( timevis() ) observeEvent(input$btn0, { addCustomTime("timeline", Sys.Date() - 1, "yesterday") }) observeEvent(input$btn, { removeCustomTime("timeline", "yesterday") }) } ) }
## Not run: timevis() %>% addCustomTime(Sys.Date() - 1, "yesterday") %>% addCustomTime(Sys.Date() + 1, "tomorrow") %>% removeCustomTime("yesterday") ## End(Not run) if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), actionButton("btn0", "Add custom time"), actionButton("btn", "Remove custom time bar") ), server = function(input, output) { output$timeline <- renderTimevis( timevis() ) observeEvent(input$btn0, { addCustomTime("timeline", Sys.Date() - 1, "yesterday") }) observeEvent(input$btn, { removeCustomTime("timeline", "yesterday") }) } ) }
Remove an item from a timeline
removeItem(id, itemId)
removeItem(id, itemId)
id |
Timeline id or a |
itemId |
The id of the item to remove |
## Not run: timevis(data.frame(start = Sys.Date(), content = c("1", "2"))) %>% removeItem(2) ## End(Not run) if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), actionButton("btn", "Remove item 2") ), server = function(input, output) { output$timeline <- renderTimevis( timevis(data.frame( start = Sys.Date(), content = c("1", "2")) ) ) observeEvent(input$btn, { removeItem("timeline", 2) }) } ) }
## Not run: timevis(data.frame(start = Sys.Date(), content = c("1", "2"))) %>% removeItem(2) ## End(Not run) if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), actionButton("btn", "Remove item 2") ), server = function(input, output) { output$timeline <- renderTimevis( timevis(data.frame( start = Sys.Date(), content = c("1", "2")) ) ) observeEvent(input$btn, { removeItem("timeline", 2) }) } ) }
This example is also available online.
runExample()
runExample()
if (interactive()) { runExample() }
if (interactive()) { runExample() }
Adjust the time of the current time bar
setCurrentTime(id, time)
setCurrentTime(id, time)
id |
Timeline id or a |
time |
The new date/time |
## Not run: timevis() %>% setCurrentTime(Sys.Date()) ## End(Not run) if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), actionButton("btn", "Set current time to beginning of today") ), server = function(input, output) { output$timeline <- renderTimevis( timevis() ) observeEvent(input$btn, { setCurrentTime("timeline", Sys.Date()) }) } ) }
## Not run: timevis() %>% setCurrentTime(Sys.Date()) ## End(Not run) if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), actionButton("btn", "Set current time to beginning of today") ), server = function(input, output) { output$timeline <- renderTimevis( timevis() ) observeEvent(input$btn, { setCurrentTime("timeline", Sys.Date()) }) } ) }
Adjust the time of a custom time bar
setCustomTime(id, time, itemId)
setCustomTime(id, time, itemId)
id |
Timeline id or a |
time |
The new date/time |
itemId |
The id of the custom time bar |
## Not run: timevis() %>% addCustomTime(Sys.Date(), "yesterday") %>% setCustomTime(Sys.Date() - 1, "yesterday") ## End(Not run) if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), actionButton("btn", "Set time bar 24 hours ago") ), server = function(input, output) { output$timeline <- renderTimevis( timevis() %>% addCustomTime(Sys.Date(), "yesterday") ) observeEvent(input$btn, { setCustomTime("timeline", Sys.Date() - 1, "yesterday") }) } ) }
## Not run: timevis() %>% addCustomTime(Sys.Date(), "yesterday") %>% setCustomTime(Sys.Date() - 1, "yesterday") ## End(Not run) if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), actionButton("btn", "Set time bar 24 hours ago") ), server = function(input, output) { output$timeline <- renderTimevis( timevis() %>% addCustomTime(Sys.Date(), "yesterday") ) observeEvent(input$btn, { setCustomTime("timeline", Sys.Date() - 1, "yesterday") }) } ) }
Set the groups of a timeline
setGroups(id, data)
setGroups(id, data)
id |
Timeline id or a |
data |
A dataframe containing the groups data to use. |
## Not run: timevis(data = data.frame( start = c(Sys.Date(), Sys.Date(), Sys.Date() + 1, Sys.Date() + 2), content = c("one", "two", "three", "four"), group = c(1, 2, 1, 2)), groups = data.frame(id = 1:2, content = c("G1", "G2")) ) %>% setGroups(data.frame(id = 1:2, content = c("Group 1", "Group 2"))) ## End(Not run) if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), actionButton("btn", "Change group names") ), server = function(input, output) { output$timeline <- renderTimevis( timevis(data = data.frame( start = c(Sys.Date(), Sys.Date(), Sys.Date() + 1, Sys.Date() + 2), content = c("one", "two", "three", "four"), group = c(1, 2, 1, 2)), groups = data.frame(id = 1:2, content = c("G1", "G2"))) ) observeEvent(input$btn, { setGroups("timeline", data.frame(id = 1:2, content = c("Group 1", "Group 2"))) }) } ) }
## Not run: timevis(data = data.frame( start = c(Sys.Date(), Sys.Date(), Sys.Date() + 1, Sys.Date() + 2), content = c("one", "two", "three", "four"), group = c(1, 2, 1, 2)), groups = data.frame(id = 1:2, content = c("G1", "G2")) ) %>% setGroups(data.frame(id = 1:2, content = c("Group 1", "Group 2"))) ## End(Not run) if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), actionButton("btn", "Change group names") ), server = function(input, output) { output$timeline <- renderTimevis( timevis(data = data.frame( start = c(Sys.Date(), Sys.Date(), Sys.Date() + 1, Sys.Date() + 2), content = c("one", "two", "three", "four"), group = c(1, 2, 1, 2)), groups = data.frame(id = 1:2, content = c("G1", "G2"))) ) observeEvent(input$btn, { setGroups("timeline", data.frame(id = 1:2, content = c("Group 1", "Group 2"))) }) } ) }
Set the items of a timeline
setItems(id, data)
setItems(id, data)
id |
Timeline id or a |
data |
A dataframe containing the item data to use. |
## Not run: timevis(data.frame(start = Sys.Date(), content = "Today")) %>% setItems(data.frame(start = Sys.Date() - 1, content = "yesterday")) ## End(Not run) if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), actionButton("btn", "Change the data to yesterday") ), server = function(input, output) { output$timeline <- renderTimevis( timevis(data.frame(start = Sys.Date(), content = "Today")) ) observeEvent(input$btn, { setItems("timeline", data.frame(start = Sys.Date() - 1, content = "yesterday")) }) } ) }
## Not run: timevis(data.frame(start = Sys.Date(), content = "Today")) %>% setItems(data.frame(start = Sys.Date() - 1, content = "yesterday")) ## End(Not run) if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), actionButton("btn", "Change the data to yesterday") ), server = function(input, output) { output$timeline <- renderTimevis( timevis(data.frame(start = Sys.Date(), content = "Today")) ) observeEvent(input$btn, { setItems("timeline", data.frame(start = Sys.Date() - 1, content = "yesterday")) }) } ) }
Update the configuration options of a timeline
setOptions(id, options)
setOptions(id, options)
id |
Timeline id or a |
options |
A named list containing updated configuration options to use.
See the |
## Not run: timevis( data.frame(start = Sys.Date(), content = "Today"), options = list(showCurrentTime = FALSE, orientation = "top") ) %>% setOptions(list(editable = TRUE, showCurrentTime = TRUE)) ## End(Not run) if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), actionButton("btn", "Show current time and allow items to be editable") ), server = function(input, output) { output$timeline <- renderTimevis( timevis( data.frame(start = Sys.Date(), content = "Today"), options = list(showCurrentTime = FALSE, orientation = "top") ) ) observeEvent(input$btn, { setOptions("timeline", list(editable = TRUE, showCurrentTime = TRUE)) }) } ) }
## Not run: timevis( data.frame(start = Sys.Date(), content = "Today"), options = list(showCurrentTime = FALSE, orientation = "top") ) %>% setOptions(list(editable = TRUE, showCurrentTime = TRUE)) ## End(Not run) if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), actionButton("btn", "Show current time and allow items to be editable") ), server = function(input, output) { output$timeline <- renderTimevis( timevis( data.frame(start = Sys.Date(), content = "Today"), options = list(showCurrentTime = FALSE, orientation = "top") ) ) observeEvent(input$btn, { setOptions("timeline", list(editable = TRUE, showCurrentTime = TRUE)) }) } ) }
Select one or multiple items on a timeline
setSelection(id, itemId, options)
setSelection(id, itemId, options)
id |
Timeline id or a |
itemId |
A vector (or single value) of the item ids to select |
options |
Named list of options controlling mainly the animation.
Most common options are |
## Not run: timevis(data.frame(start = Sys.Date(), content = 1:3)) %>% setSelection(2) ## End(Not run) if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), actionButton("btn", "Select item 2") ), server = function(input, output) { output$timeline <- renderTimevis( timevis( data.frame(start = Sys.Date(), content = 1:3) ) ) observeEvent(input$btn, { setSelection("timeline", 2) }) } ) }
## Not run: timevis(data.frame(start = Sys.Date(), content = 1:3)) %>% setSelection(2) ## End(Not run) if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), actionButton("btn", "Select item 2") ), server = function(input, output) { output$timeline <- renderTimevis( timevis( data.frame(start = Sys.Date(), content = 1:3) ) ) observeEvent(input$btn, { setSelection("timeline", 2) }) } ) }
Set the current visible window
setWindow(id, start, end, options)
setWindow(id, start, end, options)
id |
Timeline id or a |
start |
The start date/time to show in the timeline |
end |
The end date/time to show in the timeline |
options |
Named list of options controlling mainly the animation.
Most common option is |
## Not run: timevis() %>% setWindow(Sys.Date() - 1, Sys.Date() + 1) ## End(Not run) if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), actionButton("btn", "Set window to show between yesterday to tomorrow") ), server = function(input, output) { output$timeline <- renderTimevis( timevis() ) observeEvent(input$btn, { setWindow("timeline", Sys.Date() - 1, Sys.Date() + 1) }) } ) }
## Not run: timevis() %>% setWindow(Sys.Date() - 1, Sys.Date() + 1) ## End(Not run) if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), actionButton("btn", "Set window to show between yesterday to tomorrow") ), server = function(input, output) { output$timeline <- renderTimevis( timevis() ) observeEvent(input$btn, { setWindow("timeline", Sys.Date() - 1, Sys.Date() + 1) }) } ) }
timevis
lets you create rich and fully interactive timeline visualizations.
Timelines can be included in Shiny apps or R markdown documents.
timevis
Includes an extensive
API to manipulate a timeline after creation, and supports getting data out of
the visualization into R. Based on the 'visjs'
Timeline JavaScript library.
View a demo Shiny app
or see the full README on
GitHub.
Important note: This package provides a way to use the
visjs Timeline JavaScript library within R.
The visjs Timeline library has too many features that cannot all be documented
here. To see the full details on what the timeline can support, please read the
official documentation of visjs Timeline.
timevis( data, groups, showZoom = TRUE, zoomFactor = 0.5, fit = TRUE, options = list(), width = NULL, height = NULL, elementId = NULL, loadDependencies = TRUE, timezone = NULL )
timevis( data, groups, showZoom = TRUE, zoomFactor = 0.5, fit = TRUE, options = list(), width = NULL, height = NULL, elementId = NULL, loadDependencies = TRUE, timezone = NULL )
data |
A dataframe (or SharedData object for {crosstalk} support) containing the timeline items.
Each item on the timeline is represented by a row in the dataframe. |
groups |
A dataframe containing the groups data (optional). See the Groups section below for more details. |
showZoom |
If |
zoomFactor |
How much to zoom when zooming out. A zoom factor of 0.5
means that when zooming out the timeline will show 50% more content. For
example, if the timeline currently shows 20 days, then after zooming out with
a |
fit |
If |
options |
A named list containing any extra configuration options to
customize the timeline. All available options can be found in the
official
Timeline documentation. Note that any options that define a JavaScript
function must be wrapped in a call to |
width |
Fixed width for timeline (in css units). Ignored when used in a
Shiny app – use the |
height |
Fixed height for timeline (in css units). It is recommended to not use this parameter since the widget knows how to adjust its height automatically. |
elementId |
Use an explicit element ID for the widget (rather than an automatically generated one). Ignored when used in a Shiny app. |
loadDependencies |
Whether to load JQuery and bootstrap
dependencies (you should only set to |
timezone |
By default, the timevis widget displays times in the local
time of the browser rendering it. You can set timevis to display times in
another time zone by providing a number between -15 to 15 to specify the
number of hours offset from UTC. For example, use |
A timeline visualization htmlwidgets
object
The data
parameter supplies the input dataframe that describes the
items in the timeline. The following is a subset of the variables supported
in the items dataframe. The full list of supported variables can be found in
the official
visjs documentation.
start
- (required) The start date of the item, for
example "1988-11-22"
or "1988-11-22 16:30:00"
. To specify BCE
dates you must use 6 digits (for example "-000600"
corresponds to year 600BCE).
To specify dates between year 0 and year 99 CE, you must use 4 digits.
content
- (required) The contents of the item. This
can be plain text or HTML code.
end
- The end date of the item. The end date is
optional. If end date is provided, the item is displayed as a range. If
not, the item is displayed as a single point on the timeline.
id
- A unique ID for the item. If not provided,
then the row names will be used as IDs. The ID is used when removing or
selecting items (using removeItem
or
setSelection
).
type
- The type of the item. Can be 'box' (default),
'point', 'range', or 'background'. Types 'box' and 'point' need only a
start date, types 'range' and 'background' need both a start and end date.
title
- Add a title for the item, displayed when
hovering the mouse over the item. The title can only contain plain text.
editable
- If TRUE
, the item can be
manipulated with the mouse. Overrides the global editable
configuration option if it is set. An editable item can be removed or
have its start/end dates modified by clicking on it.
group
- The ID of a group. When a group
is
provided, all items with the same group are placed on one line. A vertical
axis is displayed showing the group names. See more details in the
Groups section below.
className
- A className can be used to give items an
individual CSS style.
style
- A CSS text string to apply custom styling
for an individual item, for example color: red;
.
start
and content
are the only required variables for each
item, while the rest of the variables are optional. If you include a variable
that is only used for some rows, you can use NA
for the rows where
it's not used. The items data of a timeline can either be set by supplying
the data
argument to timevis()
, or by calling the
setItems
function.
The groups
parameter must be provided if the data items have groups
(ie. if any of the items have a group
variable). When using groups, all
items with the same group are placed on one line. A vertical axis is
displayed showing the group names. Grouping items can be useful for a wide range
of applications, for example when showing availability of multiple people,
rooms, or other resources next to each other. You can also think of groups as
"adding a Y axis".
The following is a subset of the variables supported in
the groups dataframe. The full list of supported variables can be found in
the official
visjs documentation.
id
- (required) An ID for the group. The group will
display all items having a group
variable which matches this ID.
content
- (required) The contents of the group. This
can be plain text or HTML code.
title
- Add a title for the group, displayed when
hovering the mouse over the group's label. The title can only contain
plain text.
nestedGroups
- List of group ids nested in the group.
The syntax for defining a dataframe with a list inside a column can be tricky,
see the examples below for sample usage.
className
- A className can be used to give groups
an individual CSS style.
style
- A CSS text string to apply custom styling
for an individual group label, for example color: red;
.
id
and content
are the only required variables for each group,
while the rest of the variables are optional. If you include a variable that
is only used for some rows, you can use NA
for the rows where it's
not used. The groups data of a timeline can either be set by supplying the
groups
argument to timevis()
, or by calling the
setGroups
function.
When a timeline widget is created in a Shiny app, there are four pieces of
information that are always accessible as Shiny inputs. These inputs have
special names based on the timeline's ID. Suppose that a timeline is created
with an outputId
of "mytime", then the following four input
variables will be available:
input$mytime_data
- will return a data.frame containing
the data of the items in the timeline. The input is updated every time
an item is modified, added, or removed.
input$mytime_ids
- will return the IDs (a vector) of
all the items in the timeline. The input is updated every time an item
is added or removed from the timeline.
input$mytime_selected
- will return the IDs (a vector)
of the selected items in the timeline. The input is updated every time an
item is selected or unselected by the user. Note that this will not get updated if
an item is selected programmatically using
setSelection
.
input$mytime_window
- will return a 2-element vector
containing the minimum and maximum dates currently visible in the timeline.
The input is updated every time the viewable window of dates is updated
(by zooming or moving the window).
input$mytime_visible
- will return a list of IDs of items currently
visible in the timeline.
All four inputs will return a value upon initialization of the timeline and every time the corresponding value is updated.
If you need to perform any actions on the timeline object that are not
supported by this package's API, you may be able to do so by manipulating the
timeline's JavaScript object directly. The timeline object is available via
document.getElementById("id").widget.timeline
(replace id
with
the timeline's ID).
This timeline object is the direct widget that vis.js
creates, and you
can see the visjs documentation to
see what actions you can perform on that object.
To change the styling of individual items or group labels, use the
className
and style
columns in the data
or groups
dataframes.
When running a Shiny app, you can use CSS files to apply custom styling to
other components of the timevis widget. When using timevis outside of a Shiny
app, you can use CSS in the following way:
tv <- timevis( data.frame( content = "Today", start = Sys.Date() ) ) style <- " .vis-timeline { border-color: #269026; background-color: lightgreen; font-size: 15px; color: green; } .vis-item { border: 2px solid #5ace5a; font-size: 12pt; background: #d9ffd9; font-family: cursive; padding: 5px; } " tv <- tagList(tags$style(style), tv) htmltools::html_print(tv)
## Not run: # For more examples, see https://daattali.com/shiny/timevis-demo/ #----------------------- Most basic ----------------- timevis() #----------------------- Minimal data ----------------- timevis( data.frame(content = c("one", "two"), start = c("2016-01-10", "2016-01-12")) ) #----------------------- Hide the zoom buttons, allow items to be editable ----------------- timevis( data.frame(content = c("one", "two"), start = c("2016-01-10", "2016-01-12")), showZoom = FALSE, options = list(editable = TRUE, height = "200px") ) #----------------------- You can use %>% pipes to create timevis pipelines ----------------- timevis() %>% setItems(data.frame( content = c("one", "two"), start = c("2016-01-10", "2016-01-12") )) %>% setOptions(list(editable = TRUE)) %>% addItem(list(id = 3, content = "three", start = "2016-01-11")) %>% setSelection("3") %>% fitWindow(list(animation = FALSE)) #------- Items can be a single point or a range, and can contain HTML ------- timevis( data.frame(content = c("one", "two<br><h3>HTML is supported</h3>"), start = c("2016-01-10", "2016-01-18"), end = c("2016-01-14", NA), style = c(NA, "color: red;") ) ) #----------------------- Alternative look for each item ----------------- timevis( data.frame(content = c("one", "two"), start = c("2016-01-10", "2016-01-14"), end = c(NA, "2016-01-18"), type = c("point", "background")) ) #----------------------- Using a function in the configuration options ----------------- timevis( data.frame(content = "double click anywhere<br>in the timeline<br>to add an item", start = "2016-01-01"), options = list( editable = TRUE, onAdd = htmlwidgets::JS('function(item, callback) { item.content = "Hello!<br/>" + item.content; callback(item); }') ) ) #----------------------- Using a custom format for hours ------------------ timevis( data.frame( content = c("one", "two"), start = c("2020-01-10", "2020-01-10 04:00:00") ), options = list( format = htmlwidgets::JS("{ minorLabels: { minute: 'h:mma', hour: 'ha' }}") ) ) #----------------------- Allowing editable items to "snap" to round hours only ------------- timevis( data.frame( content = c("one", "two"), start = c("2020-01-10", "2020-01-10 04:00:00") ), options = list( editable = TRUE, snap = htmlwidgets::JS("function (date, scale, step) { var hour = 60 * 60 * 1000; return Math.round(date / hour) * hour; }") ) ) #----------------------- Using groups ----------------- timevis(data = data.frame( start = c(Sys.Date(), Sys.Date(), Sys.Date() + 1, Sys.Date() + 2), content = c("one", "two", "three", "four"), group = c(1, 2, 1, 2)), groups = data.frame(id = 1:2, content = c("G1", "G2")) ) #----------------------- Using nested groups -------------------- timevis( data = data.frame( start = c("2022-01-01", "2022-01-02", "2022-01-03", "2022-01-04", "2022-01-05"), content = c("item 1", "item 2", "item 3", "item 4", "item 5"), group = 1:5 ), groups = data.frame( id = 1:5, content = c("John", "Lee", "Clean", "Cook", "Shop"), nestedGroups = I(list(c(3, 4), 5, NA, NA, NA)) ) ) ## End(Not run) #----------------------- Getting data out of the timeline into Shiny ----------------- if (interactive()) { library(shiny) data <- data.frame( start = c("2015-04-04", "2015-04-05 11:00:00", "2015-04-06 15:00:00"), end = c("2015-04-08", NA, NA), content = c("<h2>Vacation!!!</h2>", "Acupuncture", "Massage"), style = c("color: red;", NA, NA) ) ui <- fluidPage( timevisOutput("appts"), div("Selected items:", textOutput("selected", inline = TRUE)), div("Visible window:", textOutput("window", inline = TRUE)), tableOutput("table") ) server <- function(input, output) { output$appts <- renderTimevis( timevis( data, options = list(editable = TRUE, multiselect = TRUE, align = "center") ) ) output$selected <- renderText( paste(input$appts_selected, collapse = " ") ) output$window <- renderText( paste(input$appts_window[1], "to", input$appts_window[2]) ) output$table <- renderTable( input$appts_data ) } shinyApp(ui, server) }
## Not run: # For more examples, see https://daattali.com/shiny/timevis-demo/ #----------------------- Most basic ----------------- timevis() #----------------------- Minimal data ----------------- timevis( data.frame(content = c("one", "two"), start = c("2016-01-10", "2016-01-12")) ) #----------------------- Hide the zoom buttons, allow items to be editable ----------------- timevis( data.frame(content = c("one", "two"), start = c("2016-01-10", "2016-01-12")), showZoom = FALSE, options = list(editable = TRUE, height = "200px") ) #----------------------- You can use %>% pipes to create timevis pipelines ----------------- timevis() %>% setItems(data.frame( content = c("one", "two"), start = c("2016-01-10", "2016-01-12") )) %>% setOptions(list(editable = TRUE)) %>% addItem(list(id = 3, content = "three", start = "2016-01-11")) %>% setSelection("3") %>% fitWindow(list(animation = FALSE)) #------- Items can be a single point or a range, and can contain HTML ------- timevis( data.frame(content = c("one", "two<br><h3>HTML is supported</h3>"), start = c("2016-01-10", "2016-01-18"), end = c("2016-01-14", NA), style = c(NA, "color: red;") ) ) #----------------------- Alternative look for each item ----------------- timevis( data.frame(content = c("one", "two"), start = c("2016-01-10", "2016-01-14"), end = c(NA, "2016-01-18"), type = c("point", "background")) ) #----------------------- Using a function in the configuration options ----------------- timevis( data.frame(content = "double click anywhere<br>in the timeline<br>to add an item", start = "2016-01-01"), options = list( editable = TRUE, onAdd = htmlwidgets::JS('function(item, callback) { item.content = "Hello!<br/>" + item.content; callback(item); }') ) ) #----------------------- Using a custom format for hours ------------------ timevis( data.frame( content = c("one", "two"), start = c("2020-01-10", "2020-01-10 04:00:00") ), options = list( format = htmlwidgets::JS("{ minorLabels: { minute: 'h:mma', hour: 'ha' }}") ) ) #----------------------- Allowing editable items to "snap" to round hours only ------------- timevis( data.frame( content = c("one", "two"), start = c("2020-01-10", "2020-01-10 04:00:00") ), options = list( editable = TRUE, snap = htmlwidgets::JS("function (date, scale, step) { var hour = 60 * 60 * 1000; return Math.round(date / hour) * hour; }") ) ) #----------------------- Using groups ----------------- timevis(data = data.frame( start = c(Sys.Date(), Sys.Date(), Sys.Date() + 1, Sys.Date() + 2), content = c("one", "two", "three", "four"), group = c(1, 2, 1, 2)), groups = data.frame(id = 1:2, content = c("G1", "G2")) ) #----------------------- Using nested groups -------------------- timevis( data = data.frame( start = c("2022-01-01", "2022-01-02", "2022-01-03", "2022-01-04", "2022-01-05"), content = c("item 1", "item 2", "item 3", "item 4", "item 5"), group = 1:5 ), groups = data.frame( id = 1:5, content = c("John", "Lee", "Clean", "Cook", "Shop"), nestedGroups = I(list(c(3, 4), 5, NA, NA, NA)) ) ) ## End(Not run) #----------------------- Getting data out of the timeline into Shiny ----------------- if (interactive()) { library(shiny) data <- data.frame( start = c("2015-04-04", "2015-04-05 11:00:00", "2015-04-06 15:00:00"), end = c("2015-04-08", NA, NA), content = c("<h2>Vacation!!!</h2>", "Acupuncture", "Massage"), style = c("color: red;", NA, NA) ) ui <- fluidPage( timevisOutput("appts"), div("Selected items:", textOutput("selected", inline = TRUE)), div("Visible window:", textOutput("window", inline = TRUE)), tableOutput("table") ) server <- function(input, output) { output$appts <- renderTimevis( timevis( data, options = list(editable = TRUE, multiselect = TRUE, align = "center") ) ) output$selected <- renderText( paste(input$appts_selected, collapse = " ") ) output$window <- renderText( paste(input$appts_window[1], "to", input$appts_window[2]) ) output$table <- renderTable( input$appts_data ) } shinyApp(ui, server) }
Output and render functions for using timevis within Shiny applications and interactive Rmd documents.
timevisOutput(outputId, width = "100%", height = "auto") renderTimevis(expr, env = parent.frame(), quoted = FALSE)
timevisOutput(outputId, width = "100%", height = "auto") renderTimevis(expr, env = parent.frame(), quoted = FALSE)
outputId |
output variable to read from |
width , height
|
Must be a valid CSS unit (like |
expr |
An expression that generates a timevis |
env |
The environment in which to evaluate |
quoted |
Is |
if (interactive()) { library(shiny) #----------------------- Most basic example ----------------- shinyApp( ui = fluidPage(timevisOutput("timeline")), server = function(input, output) { output$timeline <- renderTimevis( timevis() ) } ) #----------------------- More advanced example ----------------- data <- data.frame( start = c("2015-04-04", "2015-04-05 11:00:00", "2015-04-06 15:00:00"), end = c("2015-04-08", NA, NA), content = c("<h2>Vacation!!!</h2>", "Acupuncture", "Massage"), style = c("color: red;", NA, NA) ) ui <- fluidPage( timevisOutput("appts"), div("Selected items:", textOutput("selected", inline = TRUE)), div("Visible window:", textOutput("window", inline = TRUE)), tableOutput("table") ) server <- function(input, output) { output$appts <- renderTimevis( timevis( data, options = list(editable = TRUE, multiselect = TRUE, align = "center") ) ) output$selected <- renderText( paste(input$appts_selected, collapse = " ") ) output$window <- renderText( paste(input$appts_window[1], "to", input$appts_window[2]) ) output$table <- renderTable( input$appts_data ) } shinyApp(ui, server) }
if (interactive()) { library(shiny) #----------------------- Most basic example ----------------- shinyApp( ui = fluidPage(timevisOutput("timeline")), server = function(input, output) { output$timeline <- renderTimevis( timevis() ) } ) #----------------------- More advanced example ----------------- data <- data.frame( start = c("2015-04-04", "2015-04-05 11:00:00", "2015-04-06 15:00:00"), end = c("2015-04-08", NA, NA), content = c("<h2>Vacation!!!</h2>", "Acupuncture", "Massage"), style = c("color: red;", NA, NA) ) ui <- fluidPage( timevisOutput("appts"), div("Selected items:", textOutput("selected", inline = TRUE)), div("Visible window:", textOutput("window", inline = TRUE)), tableOutput("table") ) server <- function(input, output) { output$appts <- renderTimevis( timevis( data, options = list(editable = TRUE, multiselect = TRUE, align = "center") ) ) output$selected <- renderText( paste(input$appts_selected, collapse = " ") ) output$window <- renderText( paste(input$appts_window[1], "to", input$appts_window[2]) ) output$table <- renderTable( input$appts_data ) } shinyApp(ui, server) }
A dataset containing sample time schedule data for a community center that can be rendered by timevis.
timevisData
timevisData
A data frame with 11 rows and 6 variables.
A dataset containing groups data to be used with the timevisData
data.
timevisDataGroups
timevisDataGroups
A data frame with 3 rows and 2 variables.
Zoom in/out the current visible window
zoomIn(id, percent = 0.5, animation = TRUE) zoomOut(id, percent = 0.5, animation = TRUE)
zoomIn(id, percent = 0.5, animation = TRUE) zoomOut(id, percent = 0.5, animation = TRUE)
id |
Timeline id or a |
percent |
The amount to zoom in or out. Must be a number between 0 and 1. A value of 0.5 means that after zooming out the timeline will show 50% more content. |
animation |
Whether or not to animate the zoom. |
## Not run: timevis() %>% zoomIn() timevis() %>% zoomOut(0.3) ## End(Not run) if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), sliderInput("zoom", "Zoom by", min = 0, max = 1, value = 0.5, step = 0.1), checkboxInput("animate", "Animate?", TRUE), actionButton("zoomIn", "Zoom IN"), actionButton("zoomOut", "Zoom OUT") ), server = function(input, output) { output$timeline <- renderTimevis( timevis() ) observeEvent(input$zoomIn, { zoomIn("timeline", percent = input$zoom, animation = input$animate) }) observeEvent(input$zoomOut, { zoomOut("timeline", percent = input$zoom, animation = input$animate) }) } ) }
## Not run: timevis() %>% zoomIn() timevis() %>% zoomOut(0.3) ## End(Not run) if (interactive()) { library(shiny) shinyApp( ui = fluidPage( timevisOutput("timeline"), sliderInput("zoom", "Zoom by", min = 0, max = 1, value = 0.5, step = 0.1), checkboxInput("animate", "Animate?", TRUE), actionButton("zoomIn", "Zoom IN"), actionButton("zoomOut", "Zoom OUT") ), server = function(input, output) { output$timeline <- renderTimevis( timevis() ) observeEvent(input$zoomIn, { zoomIn("timeline", percent = input$zoom, animation = input$animate) }) observeEvent(input$zoomOut, { zoomOut("timeline", percent = input$zoom, animation = input$animate) }) } ) }