timevis: Create a timeline visualization
In westdana/Timeline: Create Interactive Timeline Visualizations in R

Description Usage Arguments Value Data format Groups Getting data out of a timeline in Shiny Extending timevis See Also Examples

timevis lets you create rich and fully interactive timeline visualizations. Timelines can be included in Shiny apps and R markdown documents, or viewed from the R console and RStudio Viewer. 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 module and the 'htmlwidgets' R package.

View a demo Shiny app or see the full README on GitHub.

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timevis(data, groups, showZoom = TRUE, zoomFactor = 0.5, fit = TRUE,
  options, width = NULL, height = NULL, elementId = NULL,
  loadDependencies = TRUE)

`data`	A dataframe containing the timeline items. Each item on the timeline is represented by a row in the dataframe. `start` and `content` are required for each item, while several other variables are also supported. See the Data format section below for more details.
`groups`	A dataframe containing the groups data (optional). See the Groups section below for more details.
`showZoom`	If `TRUE` (default), then include "Zoom In"/"Zoom Out" buttons on the widget.
`zoomFactor`	How much to zoom when zooming out. A zoom factor of 0.5 means that when zooming out the timeline will show 50 example, if the timeline currently shows 20 days, then after zooming out with a `zoomFactor` of 0.5, the timeline will show 30 days, and zooming out again will show 45 days. Similarly, zooming out from 20 days with a `zoomFactor` of 1 will results in showing 40 days.
`fit`	If `TRUE`, then fit all the data on the timeline when the timeline initializes. Otherwise, the timeline will be set to show the current date.
`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 `htmlwidgets::JS()`. See the examples section below to see example usage.
`width`	Fixed width for timeline (in css units). Ignored when used in a Shiny app – use the `width` parameter in `timevisOutput`. It is not recommended to use this parameter because the widget knows how to adjust its width automatically.
`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 `FALSE` if you manually include them)

A timeline visualization htmlwidgets object

The data parameter supplies the input dataframe that describes the items in the timeline. The following variables are supported for the items dataframe:

start - (required) The start date of the item, for example "1988-11-22" or "1988-11-22 16:30:00".
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 - An id for the item. Using an id is not required but highly recommended. An id is needed 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.
subgroup - The id of a subgroup. Groups all items within a group per subgroup, and positions them on the same height instead of stacking them on top of each other. 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 (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", if that helps. The following variables are supported in the groups dataframe:

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.
subgroupOrder - Order the subgroups by a field name. By default, groups are ordered by first-come, first-show
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).

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.

Demo Shiny app

# For more examples, see http://daattali.com/shiny/timevis-demo/

#----------------------- Most basic -----------------
timevis()

#----------------------- Minimal data -----------------
timevis(
  data.frame(id = 1:2,
             content = c("one", "two"),
             start = c("2016-01-10", "2016-01-12"))
)

#----------------------- Hide the zoom buttons, allow items to be editable -----------------
timevis(
  data.frame(id = 1:2,
             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(
    id = 1:2,
    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(id = 1:2,
             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(id = 1:2,
             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(id = 1,
             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 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"))
 )


#----------------------- Getting data out of the timeline into Shiny -----------------
if (interactive()) {
library(shiny)

data <- data.frame(
  id = 1:3,
  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)
}