Introduction

rhandsontable is a htmlwidget based on the handsontable.js library.

Handsontable is a data grid component with an Excel-like appearance. Built in JavaScript, it integrates with any data source with peak efficiency. It comes with powerful features like data validation, sorting, grouping, data binding, formula support or column ordering. (via)

Types

The table includes support for numeric, logical, character and Date types. Logical values will appear as check boxes, and the pikaday.js library is used to specify Date values.

rhandsontable attempts to map R classes to an appropriate handsontable type. Factors will be mapped to dropdown, with the choices specified by level and allowInvalid set to FALSE. To allow new levels, set allowInvalid to TRUE (using hot_col; it may also be desirable to set strict to FALSE). When running in shiny, using hot_to_r will preserve custom factor ordering, and if new levels are allowed, they will be added to the end.

DF = data.frame(integer = 1:10,
                   numeric = rnorm(10),
                   logical = rep(TRUE, 10), 
                   character = LETTERS[1:10],
                   factor = factor(letters[1:10], levels = letters[10:1], 
                                   ordered = TRUE),
                   factor_allow = factor(letters[1:10], levels = letters[10:1], 
                                         ordered = TRUE),
                   date = seq(from = Sys.Date(), by = "days", length.out = 10),
                   stringsAsFactors = FALSE)

rhandsontable(DF, width = 600, height = 300) %>%
  hot_col("factor_allow", allowInvalid = TRUE)

To improve readability, NA values will be displayed as blank cells. This requires converting columns containing NA to characters, and in the case of factors and Dates, may not display the data in the desired format. It may be beneficial to concert these type of columns to character before passing to rhandsontable.

DF_na = data.frame(integer = c(NA, 2:10), 
                   logical = c(NA, rep(TRUE, 9)), 
                   character = c(NA, LETTERS[1:9]),
                   factor = c(NA, factor(letters[1:9])),
                   date = c(NA, seq(from = Sys.Date(), by = "days", 
                                    length.out = 9)),
                   stringsAsFactors = FALSE)

DF_na$factor_ch = as.character(DF_na$factor)
DF_na$date_ch = c(NA, as.character(seq(from = Sys.Date(), by = "days", 
                                       length.out = 9)))

rhandsontable(DF_na, width = 550, height = 300)

Password

A column can also be specified as a password type.

DF = data.frame(val = 1:10, bool = TRUE, big = LETTERS[1:10],
                small = letters[1:10],
                dt = seq(from = Sys.Date(), by = "days", length.out = 10),
                stringsAsFactors = FALSE)

rhandsontable(DF, width = 550, height = 300) %>%
  hot_col("small", "password")

Sparkline

New in version 0.2, sparkline.js charts can be added to the table. Thanks to the sparkline package and Ramnath Vaidyanathan for inspiration.

DF = data.frame(val = 1:10, bool = TRUE, big = LETTERS[1:10],
                small = letters[1:10],
                dt = seq(from = Sys.Date(), by = "days", length.out = 10),
                stringsAsFactors = FALSE)

DF$chart = c(sapply(1:5,
                    function(x) jsonlite::toJSON(list(values=rnorm(10),
                                                      options = list(type = "bar")))),
             sapply(1:5,
                    function(x) jsonlite::toJSON(list(values=rnorm(10),
                                                      options = list(type = "line")))))

rhandsontable(DF, rowHeaders = NULL, width = 550, height = 300) %>%
  hot_col("chart", renderer = htmlwidgets::JS("renderSparkline"))

Custom Renderer

It’s also possible to define a custom column renderer function. For example, it may be desirable to include html in a cell. The example below mimics Custom renderers.

DF = data.frame(
  title = c(
    "<a href='http://www.amazon.com/Professional-JavaScript-Developers-Nicholas-Zakas/dp/1118026691'>Professional JavaScript for Web Developers</a>",
    "<a href='http://shop.oreilly.com/product/9780596517748.do'>JavaScript: The Good Parts</a>",
    "<a href='http://shop.oreilly.com/product/9780596805531.do'>JavaScript: The Definitive Guide</a>"
  ),
  desc = c(
    "This <a href='http://bit.ly/sM1bDf'>book</a> provides a developer-level introduction along with more advanced and useful features of <b>JavaScript</b>.",
    "This book provides a developer-level introduction along with <b>more advanced</b> and useful features of JavaScript.",
    "<em>JavaScript: The Definitive Guide</em> provides a thorough description of the core <b>JavaScript</b> language and both the legacy and standard DOMs implemented in web browsers."
  ),
  comments = c(
    "I would rate it &#x2605;&#x2605;&#x2605;&#x2605;&#x2606;",
    "This is the book about JavaScript",
    "I've never actually read it, but the <a href='http://shop.oreilly.com/product/9780596805531.do'>comments</a> are highly <strong>positive</strong>."
  ), 
  cover = c(
    "http://ecx.images-amazon.com/images/I/51bRhyVTVGL._SL50_.jpg",
    "http://ecx.images-amazon.com/images/I/51gdVAEfPUL._SL50_.jpg",
    "http://ecx.images-amazon.com/images/I/51VFNL4T7kL._SL50_.jpg"
 ),
 stringsAsFactors = FALSE
)

rhandsontable(DF, allowedTags = "<em><b><strong><a><big>", 
              width = 800, height = 450, rowHeaders = FALSE) %>%
  hot_cols(colWidths = c(200, 200, 200, 80)) %>%
  hot_col(1:2, renderer = "html") %>%
  hot_col(1:3, renderer = htmlwidgets::JS("safeHtmlRenderer")) %>%
  hot_col(4, renderer = "
    function(instance, td, row, col, prop, value, cellProperties) {
      var escaped = Handsontable.helper.stringify(value),
        img;
  
      if (escaped.indexOf('http') === 0) {
        img = document.createElement('IMG');
        img.src = value;
  
        Handsontable.dom.addEvent(img, 'mousedown', function (e){
          e.preventDefault(); // prevent selection quirk
        });
  
        Handsontable.dom.empty(td);
        td.appendChild(img);
      }
      else {
        // render as text
        Handsontable.renderers.TextRenderer.apply(this, arguments);
      }
  
      return td;
    }")

For shiny apps, use renderer = htmlwidgets::JS("safeHtmlRenderer") to display columns with html data. The allowed html tags default to <em><b><strong><a><big>, but the (hidden) allowedTags parameter can in rhandsontable can be used to customize this list.

Custom Renderer using an R Parameter

Additional parameters passed to rhandsontable will be available to the JavaScript widget via the params property.

DF = data.frame(val = 1:10, bool = TRUE, big = LETTERS[1:10],
                small = letters[1:10],
                dt = seq(from = Sys.Date(), by = "days", length.out = 10),
                stringsAsFactors = FALSE)

col_highlight = 2
row_highlight = c(5, 7)

rhandsontable(DF, col_highlight = col_highlight, 
              row_highlight = row_highlight,
              width = 550, height = 300) %>%
  hot_cols(renderer = "
    function(instance, td, row, col, prop, value, cellProperties) {
      Handsontable.renderers.TextRenderer.apply(this, arguments);
      
      tbl = this.HTMLWidgets.widgets[0]

      hcols = tbl.params.col_highlight
      hcols = hcols instanceof Array ? hcols : [hcols] 
      hrows = tbl.params.row_highlight
      hrows = hrows instanceof Array ? hrows : [hrows] 

      if (hcols.includes(col) && hrows.includes(row)) {
        td.style.background = 'red';
      }
      else if (hcols.includes(col)) {
        td.style.background = 'lightgreen';
      }
      else if (hrows.includes(row)) {
        td.style.background = 'pink';
      }
      
      return td;
  }")

When using this approach in a shiny app or in a document with more than one widget, the widget search logic will need to be more robust.

HTMLWidgets.widgets.filter(function(widget) {
  // this should match the table id specified in the shiny app
  return widget.name === "hot"
})[0];

Right-Click

Right-clicking in a cell will enable a context menu that includes customizable table actions via the hot_context_menu function. For shiny apps, formatting and comment updates made via the context menu are not currently retained.

To disable the context menu, set contextMenu = FALSE in hot_table (or rhandsontable).

Add / Remove Rows & Columns

By default a user can add or remove table rows and columns, but this functionality can be disabled. Note that Handsontable does not allow column be added or deleted to the table if column types are defined (i.e. useTypes == TRUE in rhandsontable).

DF = data.frame(val = 1:10, bool = TRUE, big = LETTERS[1:10],
                small = letters[1:10],
                dt = seq(from = Sys.Date(), by = "days", length.out = 10),
                stringsAsFactors = FALSE)

rhandsontable(DF, width = 550, height = 300) %>%
  hot_context_menu(allowRowEdit = FALSE, allowColEdit = FALSE)

Customizing

The customOpts parameter of hot_context_menu can be used to add custom functionality to the context menu. Below are a couple examples.

Export to CSV

This example illustrates how to add an option to export the table to a csv file.

MAT = matrix(rnorm(50), nrow = 10, dimnames = list(LETTERS[1:10],
                                                   letters[1:5]))

rhandsontable(MAT, width = 550, height = 300) %>%
  hot_context_menu(
    customOpts = list(
      csv = list(name = "Download to CSV",
                    callback = htmlwidgets::JS(
                      "function (key, options) {
                         var csv = csvString(this, sep=',', dec='.');

                         var link = document.createElement('a');
                         link.setAttribute('href', 'data:text/plain;charset=utf-8,' +
                           encodeURIComponent(csv));
                         link.setAttribute('download', 'data.csv');

                         document.body.appendChild(link);
                         link.click();
                         document.body.removeChild(link);
                       }"))))

Formatting

Numeric columns are formatted using the numebro.js library.

DF = data.frame(int = 1:10, float = rnorm(10), cur = rnorm(10) * 1E5,
                lrg = rnorm(10) * 1E8, pct = rnorm(10))

rhandsontable(DF, width = 550, height = 300) %>%
  hot_col("float", format = "0.0") %>%
  hot_col("cur", format = "$0,0.00") %>%
  hot_col("lrg", format = "0a") %>%
  hot_col("pct", format = "0%")

Conditional Formatting

Conditional formatting can also be specified via custom JavaScript function. Future enhancements will look to simplify this interface.

MAT = matrix(runif(100, -1, 1), nrow = 10,
             dimnames = list(LETTERS[1:10], LETTERS[1:10]))
diag(MAT) = 1
MAT[upper.tri(MAT)] = MAT[lower.tri(MAT)]
rhandsontable(MAT, readOnly = TRUE, width = 750, height = 300) %>%
  hot_cols(renderer = "
           function (instance, td, row, col, prop, value, cellProperties) {
             Handsontable.renderers.NumericRenderer.apply(this, arguments);
             if (row == col) {
              td.style.background = 'lightgrey';
             } else if (col > row) {
              td.style.background = 'grey';
              td.style.color = 'grey';
             } else if (value < -0.75) {
              td.style.background = 'pink';
             } else if (value > 0.75) {
              td.style.background = 'lightgreen';
             }
           }")

See Custom Renderer using an R Parameter for anotehr example.

Specify Locale

The language parameter for hot_col can be used to change the locale. See the numbro.js library for language options.

DF = data.frame(dollar = rnorm(10), euro = rnorm(10), yen = rnorm(10))

rhandsontable(DF * 1000, width = 550, height = 300) %>%
  hot_col("dollar", format = "$0,000.00", language = "en-US") %>%
  hot_col("euro", format = "0,000.00 $", language = "de-DE") %>%
  hot_col("yen", format = "$0,000.00", language = "ja-JP")

Read-Only

The whole table can be set to readOnly to prevent the user from making changes.

DF = data.frame(val = 1:10, bool = TRUE, big = LETTERS[1:10],
                small = letters[1:10],
                dt = seq(from = Sys.Date(), by = "days", length.out = 10),
                stringsAsFactors = FALSE)

rhandsontable(DF, readOnly = TRUE, width = 550, height = 300)

The individual columns, rows and cells can also be set to readOnly

DF = data.frame(val = 1:10, bool = TRUE, big = LETTERS[1:10],
                small = letters[1:10],
                dt = seq(from = Sys.Date(), by = "days", length.out = 10),
                stringsAsFactors = FALSE)

rhandsontable(DF, width = 550, height = 300) %>%
  hot_col("val", readOnly = TRUE) %>%
  hot_row(4, readOnly = TRUE) %>%
  hot_cell(7, "dt", readOnly = TRUE)

Sorting

Column sorting can be enabled; sorting only impacts the widget and will not reorder the original data set.

DF = data.frame(val = 1:10, bool = TRUE, big = LETTERS[1:10],
                small = letters[1:10],
                dt = seq(from = Sys.Date(), by = "days", length.out = 10),
                stringsAsFactors = FALSE)

rhandsontable(DF, width = 550, height = 300) %>%
  hot_cols(columnSorting = TRUE)

Highlight

With larger tables it my be desirable to highlight the row and column for a selected cell.

DF = data.frame(val = 1:10, bool = TRUE, big = LETTERS[1:10],
                small = letters[1:10],
                dt = seq(from = Sys.Date(), by = "days", length.out = 10),
                stringsAsFactors = FALSE)

# click on a cell to see the highlighting
rhandsontable(DF, width = 550, height = 300) %>%
  hot_table(highlightCol = TRUE, highlightRow = TRUE)

See Custom Renderer using an R Parameter for a static highlighting example.

Sizing

Column and row dimensions can be customized. For larger data sets, (multiple) top rows and left columns can be frozen.

MAT = matrix(rnorm(50), nrow = 10, dimnames = list(LETTERS[1:10],
                                                   letters[1:5]))

rhandsontable(MAT, width = 600, height = 600) %>%
  hot_cols(colWidths = 100) %>%
  hot_rows(rowHeights = 50)

Row Header Width

The width of the row header column can be customized using rowHeaderWidth.

rhandsontable(mtcars, rowHeaderWidth = 200)

Streching

The table can be streched to the full width by using stretchH.

MAT = matrix(rnorm(30), nrow = 10, dimnames = list(LETTERS[1:10],
                                                   letters[1:3]))

rhandsontable(MAT, width = 600, height = 300, stretchH = "all")

Fixed

For larger data sets, (multiple) top rows and left columns can be frozen.

MAT = matrix(rnorm(26 * 26), nrow = 26, dimnames = list(LETTERS, letters))

# scroll through the table to see the fixed row and column
rhandsontable(MAT, width = 550, height = 300) %>%
  hot_cols(fixedColumnsLeft = 1) %>%
  hot_rows(fixedRowsTop = 1)

Comments

Comments (hover) can also be added to individual cells and will appear as red flags in the upper right of the cell.

DF = data.frame(val = 1:10, bool = TRUE, big = LETTERS[1:10],
                small = letters[1:10],
                dt = seq(from = Sys.Date(), by = "days", length.out = 10),
                stringsAsFactors = FALSE)

rhandsontable(DF, width = 550, height = 300) %>%
  hot_cell(1, 1, "Test comment")

Additionally, comments can be added via data.frame or matrix.

MAT_comments = matrix(ncol = ncol(DF), nrow = nrow(DF))
MAT_comments[1, 1] = "Test comment"
MAT_comments[2, 2] = "Another test comment"

rhandsontable(DF, comments = MAT_comments, width = 550, height = 300)

Finally, comments can also be added via the right-click context menu, but these updates will not currently be retained by shiny.

Borders

Custom borders can be drawn around cells to highlight specific items. Borders can also be added via the right-click context menu, but these updates will not currently be retained by shiny.

MAT = matrix(rnorm(50), nrow = 10, dimnames = list(LETTERS[1:10],
                                                   letters[1:5]))

rhandsontable(MAT, width = 550, height = 300) %>%
  hot_table(customBorders = list(list(
    range = list(from = list(row = 1, col = 1),
                 to = list(row = 2, col = 2)),
    top = list(width = 2, color = "red"),
    left = list(width = 2, color = "red"),
    bottom = list(width = 2, color = "red"),
    right = list(width = 2, color = "red"))))

Validation

Numeric Columns

Pre-defined validation can be added for numeric columns in two ways:

  • specify a min and max and any values within the range to exclude
  • similar to a dropdown column, specify allowed values
MAT = matrix(rnorm(50), nrow = 10, dimnames = list(LETTERS[1:10],
                                                   letters[1:5]))

rhandsontable(MAT * 10, width = 550, height = 300) %>%
  hot_validate_numeric(cols = 1, min = -50, max = 50, exclude = 40)
rhandsontable(MAT * 10, width = 550, height = 300) %>%
  hot_validate_numeric(cols = 1, choices = c(10, 20, 40))

Character Columns

For character columns, a vector of allowed options can be specified. A more user-friendly approach may be to use a dropdown column with strict = TRUE.

DF = data.frame(val = 1:10, bool = TRUE, big = LETTERS[1:10],
                small = letters[1:10],
                dt = seq(from = Sys.Date(), by = "days", length.out = 10),
                stringsAsFactors = FALSE)

rhandsontable(DF, width = 550, height = 300) %>%
  hot_validate_character(cols = "big", choices = LETTERS[1:10])

Custom

It is also possible to create a custom validation function in JavaScript.

MAT = matrix(rnorm(50), nrow = 10, dimnames = list(LETTERS[1:10],
                                                   letters[1:5]))

# try to update any cell to 0
rhandsontable(MAT * 10, width = 550, height = 300) %>%
  hot_cols(validator = "
           function (value, callback) {
            setTimeout(function(){
              callback(value != 0);
            }, 1000)
           }",
           allowInvalid = FALSE)

Heatmap

The chroma.js library can be used to turn the table into a heatmap.

MAT = matrix(rnorm(50), nrow = 10, dimnames = list(LETTERS[1:10],
                                                   letters[1:5]))

rhandsontable(MAT, width = 550, height = 300) %>%
  hot_heatmap()

Big Data

MAT = matrix(rnorm(10000 * 100), nrow = 100, dimnames= list(1:100, 1:10000))

rhandsontable(MAT, width = 550, height = 550)