Title:	Create Interactive Timeline Visualizations in R
Version:	2.1.0
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.
URL:	https://github.com/daattali/timevis
BugReports:	https://github.com/daattali/timevis/issues
Depends:	R (≥ 3.1.0)
Imports:	htmltools (≥ 0.2.6), htmlwidgets (≥ 0.6), jsonlite, magrittr, methods, rmarkdown, shiny
Suggests:	lubridate, testthat (≥ 0.9.1), shinydisconnect
License:	MIT + file LICENSE
Encoding:	UTF-8
LazyData:	true
RoxygenNote:	7.2.1
NeedsCompilation:	no
Packaged:	2022-10-28 07:15:03 UTC; Dean-X1C
Author:	Dean Attali [aut, cre] (R interface), Almende B.V. [aut, cph] (vis.js Timeline library, https://visjs.github.io/vis-timeline/docs/timeline/)
Maintainer:	Dean Attali <daattali@gmail.com>
Repository:	CRAN
Date/Publication:	2022-11-03 08:30:02 UTC

Add a new vertical bar at a time point that can be dragged by the user

Description

Add a new vertical bar at a time point that can be dragged by the user

Usage

addCustomTime(id, time, itemId)

Arguments

Examples

## 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

Description

Add a single item to a timeline

Usage

addItem(id, data)

Arguments

Examples

## 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

Description

Add multiple items to a timeline

Usage

addItems(id, data)

Arguments

Examples

## 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

Description

Move the window such that given item or items are centered

Usage

centerItem(id, itemId, options)

Arguments

Examples

## Not run: 
timevis(data.frame(
          id = 1:3,
          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$timeline <- renderTimevis(
      timevis(
        data.frame(id = 1:3,
          start = c(Sys.Date() - 1, Sys.Date(), Sys.Date() + 1),
          content = c("Item 1", "Item 2", "Item 3"))
      )
    )
    observeEvent(input$btn, {
      centerItem("timeline", 1)
    })
  }
)
}

Move the window such that the given time is centered

Description

Move the window such that the given time is centered

Usage

centerTime(id, time, options)

Arguments

Examples

## 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

Description

Adjust the visible window such that it fits all items

Usage

fitWindow(id, options)

Arguments

Examples

if (interactive()) {
library(shiny)
shinyApp(
  ui = fluidPage(
    timevisOutput("timeline"),
    actionButton("btn", "Fit all items")
  ),
  server = function(input, output) {
    output$timeline <- renderTimevis(
      timevis(data.frame(
        id = 1:2, start = c(Sys.Date(), Sys.Date() - 1), content = c("1", "2")
      ))
    )
    observeEvent(input$btn, {
      fitWindow("timeline", list(animation = FALSE))
    })
  }
)
}

Objects exported from other packages

Description

These objects are imported from other packages. Follow the links below to see their documentation.

magrittr

%>%

Remove a custom time previously added

Description

Remove a custom time previously added

Usage

removeCustomTime(id, itemId)

Arguments

Examples

## 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

Description

Remove an item from a timeline

Usage

removeItem(id, itemId)

Arguments

Examples

## Not run: 
timevis(data.frame(id = 1:2, 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$timeline <- renderTimevis(
      timevis(data.frame(
        id = 1:2, start = Sys.Date(), content = c("1", "2"))
      )
    )
    observeEvent(input$btn, {
      removeItem("timeline", 2)
    })
  }
)
}

Run examples of using timevis in a Shiny app

Description

This example is also available online.

Usage

runExample()

Examples

if (interactive()) {
  runExample()
}

Adjust the time of the current time bar

Description

Adjust the time of the current time bar

Usage

setCurrentTime(id, time)

Arguments

Examples

## 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

Description

Adjust the time of a custom time bar

Usage

setCustomTime(id, time, itemId)

Arguments

Examples

## 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

Description

Set the groups of a timeline

Usage

setGroups(id, data)

Arguments

Examples

## 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

Description

Set the items of a timeline

Usage

setItems(id, data)

Arguments

Examples

## 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

Description

Update the configuration options of a timeline

Usage

setOptions(id, options)

Arguments

Examples

## 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

Description

Select one or multiple items on a timeline

Usage

setSelection(id, itemId, options)

Arguments

Examples

## Not run: 
timevis(data.frame(id = 1:3, 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$timeline <- renderTimevis(
      timevis(
        data.frame(id = 1:3, start = Sys.Date(), content = 1:3)
      )
    )
    observeEvent(input$btn, {
      setSelection("timeline", 2)
    })
  }
)
}

Set the current visible window

Description

Set the current visible window

Usage

setWindow(id, start, end, options)

Arguments

Examples

## 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)
    })
  }
)
}

Create a timeline visualization

Description

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.

Usage

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

Arguments

Value

A timeline visualization htmlwidgets object

Data format

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 - An id for the item. Using an id is not required but highly recommended, and must be unique. 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.

• 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.

Groups

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.

Getting data out of a timeline in Shiny

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.

Extending timevis

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.

Customizing the timevis look and style using CSS

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)

See Also

Demo Shiny app

Examples

## Not run: 
# For more examples, see https://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 a custom format for hours ------------------
timevis(
  data.frame(
    id = 1:2,
    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(
    id = 1:2,
    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(
  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)
}

Shiny bindings for timevis

Description

Output and render functions for using timevis within Shiny applications and interactive Rmd documents.

Usage

timevisOutput(outputId, width = "100%", height = "auto")

renderTimevis(expr, env = parent.frame(), quoted = FALSE)

Arguments

See Also

timevis.

Examples

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(
  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)
}

Timevis sample data

Description

A dataset containing sample time schedule data for a community center that can be rendered by timevis.

Usage

timevisData

Format

A data frame with 11 rows and 6 variables.

Timevis sample group data

Description

A dataset containing groups data to be used with the timevisData data.

Usage

timevisDataGroups

Format

A data frame with 3 rows and 2 variables.

Zoom in/out the current visible window

Description

Zoom in/out the current visible window

Usage

zoomIn(id, percent = 0.5, animation = TRUE)

zoomOut(id, percent = 0.5, animation = TRUE)

Arguments

Examples

## 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)
    })
  }
)
}