Demo Cookbook • reactable

Insert links

data <- data.frame(
  Address = c("https://google.com", "https://yahoo.com", "https://duckduckgo.com"),
  Site = c("Google", "Yahoo", "DuckDuckGo")
)

reactable(
  data,
  columns = list(
    # Using htmltools to render a link
    Address = colDef(cell = function(value) {
      htmltools::tags$a(href = value, target = "_blank", value)
    }),
    # Or using raw HTML
    Site = colDef(html = TRUE, cell = function(value, index) {
      sprintf('<a href="%s" target="_blank">%s</a>', data$Address[index], value)
    })
  )
)

Conditional formatting

Color scales

To add color scales, you can use R’s built-in color utilities (or other color manipulation package):

data <- iris[10:29, ]
orange_pal <- function(x) rgb(colorRamp(c("#ffe4cc", "#ff9500"))(x), maxColorValue = 255)

reactable(
  data,
  columns = list(
    Petal.Length = colDef(style = function(value) {
      normalized <- (value - min(data$Petal.Length)) / (max(data$Petal.Length) - min(data$Petal.Length))
      color <- orange_pal(normalized)
      list(background = color)
    })
  )
)

dimnames <- list(start(nottem)[1]:end(nottem)[1], month.abb)
temps <- matrix(nottem, ncol = 12, byrow = TRUE, dimnames = dimnames)

# ColorBrewer-inspired 3-color scale
BuYlRd <- function(x) rgb(colorRamp(c("#7fb7d7", "#ffffbf", "#fc8d59"))(x), maxColorValue = 255)

reactable(
  temps,
  defaultColDef = colDef(
    style = function(value) {
      if (!is.numeric(value)) return()
      normalized <- (value - min(nottem)) / (max(nottem) - min(nottem))
      color <- BuYlRd(normalized)
      list(background = color)
    },
    format = colFormat(digits = 1),
    minWidth = 50
  ),
  columns = list(
    .rownames = colDef(name = "Year", sortable = TRUE, align = "left")
  ),
  bordered = TRUE
)

Year

Jan

Feb

Mar

Apr

May

Jun

Jul

Aug

Sep

Oct

Nov

Dec

1920

40.6

40.8

44.4

46.7

54.1

58.5

57.7

56.4

54.3

50.5

42.9

39.8

1921

44.2

39.8

45.1

47.0

54.1

58.7

66.3

59.9

57.0

54.2

39.7

42.8

1922

37.5

38.7

39.5

42.1

55.7

57.8

56.8

54.3

47.1

41.8

41.7

1923

41.8

40.1

42.9

45.8

49.2

52.7

64.2

59.6

54.4

49.2

36.3

37.6

1924

39.3

37.5

38.3

45.5

53.2

57.7

60.8

58.2

56.4

49.8

44.4

43.6

1925

40.0

40.5

40.8

45.1

53.8

59.4

63.5

61.0

53.0

50.0

38.1

36.3

1926

39.2

43.4

48.9

50.6

56.8

62.5

62.0

57.5

46.7

41.6

39.8

1927

39.4

38.5

45.3

47.1

51.7

55.0

60.4

60.5

54.7

50.3

42.3

35.2

1928

40.8

41.1

42.8

47.3

50.9

56.4

62.2

60.5

55.4

50.2

43.0

37.3

1929

34.8

31.3

41.0

43.9

53.1

56.9

62.5

60.3

59.8

49.2

42.9

41.9

1–10 of 20 rows

Formatting changes

stocks <- data.frame(
  Symbol = c("GOOG", "FB", "AMZN", "NFLX", "TSLA"),
  Price = c(1265.13, 187.89, 1761.33, 276.82, 328.13),
  Change = c(4.14, 1.51, -19.45, 5.32, -12.45)
)

reactable(
  stocks,
  columns = list(
    Change = colDef(
      cell = function(value) {
        if (value >= 0) paste0("+", value) else value
      },
      style = function(value) {
        color <- if (value > 0) {
          "#008000"
        } else if (value < 0) {
          "#e00000"
        }
        list(fontWeight = 600, color = color)
      }
    )
  )
)

Tags and badges

library(htmltools)

orders <- data.frame(
  Order = 2300:2304,
  Created = seq(as.Date("2019-04-01"), by = "day", length.out = 5),
  Customer = sample(rownames(MASS::painters), 5),
  Status = sample(c("Pending", "Paid", "Canceled"), 5, replace = TRUE),
  stringsAsFactors = FALSE
)

reactable(
  orders,
  columns = list(
    Status = colDef(cell = function(value) {
      class <- paste0("tag status-", tolower(value))
      div(class = class, value)
    })
  )
)

.tag {
  display: inline-block;
  padding: 0.125rem 0.75rem;
  border-radius: 15px;
  font-weight: 600;
  font-size: 0.75rem;
}

.status-paid {
  background: hsl(116, 60%, 90%);
  color: hsl(116, 30%, 25%);
}

.status-pending {
  background: hsl(230, 70%, 90%);
  color: hsl(230, 45%, 30%);
}

.status-canceled {
  background: hsl(350, 70%, 90%);
  color: hsl(350, 45%, 30%);
}

library(htmltools)

status_badge <- function(color = "#aaa", width = "0.55rem", height = width) {
  span(style = list(
    display = "inline-block",
    marginRight = "0.5rem",
    width = width,
    height = height,
    backgroundColor = color,
    borderRadius = "50%"
  ))
}

reactable(
  orders,
  columns = list(
    Status = colDef(cell = function(value) {
      color <- switch(
        value,
        Paid = "hsl(214, 45%, 50%)",
        Pending = "hsl(30, 97%, 70%)",
        Canceled = "hsl(3, 69%, 50%)"
      )
      badge <- status_badge(color = color)
      tagList(badge, value)
    })
  )
)

Bar charts

There are many ways to create bar charts using HTML and CSS, but here’s one way inspired by Making Charts with CSS.

library(htmltools)

# Render a bar chart with a label on the left
bar_chart <- function(label, width = "100%", height = "1rem", fill = "#00bfc4", background = NULL) {
  bar <- div(style = list(background = fill, width = width, height = height))
  chart <- div(style = list(flexGrow = 1, marginLeft = "0.5rem", background = background), bar)
  div(style = list(display = "flex", alignItems = "center"), label, chart)
}

data <- MASS::Cars93[20:49, c("Make", "MPG.city", "MPG.highway")]

reactable(
  data,
  columns = list(
    MPG.city = colDef(name = "MPG (city)", align = "left", cell = function(value) {
      width <- paste0(value / max(data$MPG.city) * 100, "%")
      bar_chart(value, width = width)
    }),
    MPG.highway = colDef(name = "MPG (highway)", align = "left", cell = function(value) {
      width <- paste0(value / max(data$MPG.highway) * 100, "%")
      bar_chart(value, width = width, fill = "#fc5185", background = "#e1e1e1")
    })
  )
)

Positive and negative values

library(htmltools)

# Render a bar chart with positive and negative values
bar_chart_pos_neg <- function(label, value, max_value = 1, height = "1rem",
                              pos_fill = "#005ab5", neg_fill = "#dc3220") {
  neg_chart <- div(style = list(flex = "1 1 0"))
  pos_chart <- div(style = list(flex = "1 1 0"))
  width <- paste0(abs(value / max_value) * 100, "%")

  if (value < 0) {
    bar <- div(style = list(marginLeft = "0.5rem", background = neg_fill, width = width, height = height))
    chart <- div(
      style = list(display = "flex", alignItems = "center", justifyContent = "flex-end"),
      label,
      bar
    )
    neg_chart <- tagAppendChild(neg_chart, chart)
  } else {
    bar <- div(style = list(marginRight = "0.5rem", background = pos_fill, width = width, height = height))
    chart <- div(style = list(display = "flex", alignItems = "center"), bar, label)
    pos_chart <- tagAppendChild(pos_chart, chart)
  }

  div(style = list(display = "flex"), neg_chart, pos_chart)
}

data <- data.frame(
  company = sprintf("Company%02d", 1:10),
  profit_chg = c(0.2, 0.685, 0.917, 0.284, 0.105, -0.701, -0.528, -0.808, -0.957, -0.11)
)

reactable(
  data,
  bordered = TRUE,
  columns = list(
    company = colDef(name = "Company", minWidth = 100),
    profit_chg = colDef(
      name = "Change in Profit",
      defaultSortOrder = "desc",
      cell = function(value) {
        label <- paste0(round(value * 100), "%")
        bar_chart_pos_neg(label, value)
      },
      align = "center",
      minWidth = 400
    )
  )
)

Background bar charts

Another way to create bar charts is to render them as background images. This example creates bar images using the linear-gradient() CSS function, inspired by an example from the DT package.

# Render a bar chart in the background of the cell
bar_style <- function(width = 1, fill = "#e6e6e6", height = "75%",
                      align = c("left", "right"), color = NULL) {
  align <- match.arg(align)
  if (align == "left") {
    position <- paste0(width * 100, "%")
    image <- sprintf("linear-gradient(90deg, %1$s %2$s, transparent %2$s)", fill, position)
  } else {
    position <- paste0(100 - width * 100, "%")
    image <- sprintf("linear-gradient(90deg, transparent %1$s, %2$s %1$s)", position, fill)
  }
  list(
    backgroundImage = image,
    backgroundSize = paste("100%", height),
    backgroundRepeat = "no-repeat",
    backgroundPosition = "center",
    color = color
  )
}

data <- mtcars[, 1:4]

reactable(
  data,
  columns = list(
    mpg = colDef(
      style = function(value) {
        bar_style(width = value / max(data$mpg), fill = "#2c5e77", color = "#fff")
      },
      align = "left",
      format = colFormat(digits = 1)
    ),
    disp = colDef(
      style = function(value) {
        bar_style(width = value / max(data$disp), fill = "hsl(208, 70%, 90%)")
      }
    ),
    hp = colDef(
      style = function(value) {
        bar_style(width = value / max(data$hp), height = "90%", align = "right")
      }
    )
  ),
  bordered = TRUE
)

Embed images

To embed an image, render an <img> element into the table. Be sure to add alt text for accessibility, even if the image is purely decorative (use a null alt="" attribute in this case).

External image files

library(htmltools)

data <- data.frame(
  Animal = c("beaver", "cow", "wolf", "goat"),
  Body = c(1.35, 465, 36.33, 27.66),
  Brain = c(8.1, 423, 119.5, 115)
)

reactable(
  data,
  columns = list(
    Animal = colDef(cell = function(value) {
      image <- img(src = sprintf("images/%s.png", value), style = "height: 24px;", alt = value)
      tagList(
        div(style = "display: inline-block; width: 45px;", image),
        value
      )
    }),
    Body = colDef(name = "Body (kg)"),
    Brain = colDef(name = "Brain (g)")
  )
)

If the image file is local, ensure the image can be found from the rendered document:

In pkgdown, you can include local images in your document using the resource_files YAML field. See External files in pkgdown for details.
In Shiny, you can include local images in your app using either the www/ directory or shiny::addResourcePath() function. See Resource Publishing in Shiny for details.

Inline embedded images

Images can also be embedded into documents as a base64-encoded data URL using knitr::image_uri(). This can be more portable, but is usually only recommended for small image files.

library(htmltools)

data <- data.frame(
  Animal = c("beaver", "cow", "wolf", "goat"),
  Body = c(1.35, 465, 36.33, 27.66),
  Brain = c(8.1, 423, 119.5, 115)
)

reactable(
  data,
  columns = list(
    Animal = colDef(cell = function(value) {
      img_src <- knitr::image_uri(sprintf("images/%s.png", value))
      image <- img(src = img_src, style = "height: 24px;", alt = value)
      tagList(
        div(style = "display: inline-block; width: 45px", image),
        value
      )
    })
  )
)

Rating stars

This example uses Font Awesome icons (via Shiny) to render rating stars in a table.

To make the rating star icons accessible to users of assistive technology, the icons are marked up as an image using the ARIA img role, and alternative text is added using an aria-label or title attribute.

library(htmltools)

rating_stars <- function(rating, max_rating = 5) {
  star_icon <- function(empty = FALSE) {
    tagAppendAttributes(shiny::icon("star"),
      style = paste("color:", if (empty) "#edf0f2" else "orange"),
      "aria-hidden" = "true"
    )
  }
  rounded_rating <- floor(rating + 0.5)  # always round up
  stars <- lapply(seq_len(max_rating), function(i) {
    if (i <= rounded_rating) star_icon() else star_icon(empty = TRUE)
  })
  label <- sprintf("%s out of %s stars", rating, max_rating)
  div(title = label, role = "img", stars)
}

ratings <- data.frame(
  Movie = c("Silent Serpent", "Nowhere to Hyde", "The Ape-Man Goes to Mars", "A Menace in Venice"),
  Rating = c(3.65, 2.35, 4.5, 1.4),
  Votes = c(115, 37, 60, 99)
)

reactable(ratings, columns = list(
  Rating = colDef(cell = function(value) rating_stars(value))
))

Show data from other columns

This example requires reactable v0.3.0 or above.

To access data from another column, get the current row data using the row index argument in an R render function, or cellInfo.row in a JavaScript render function. This example shows both ways.

library(dplyr)
library(htmltools)

data <- starwars %>%
  select(character = name, height, mass, gender, homeworld, species)

R render function

reactable(
  data,
  columns = list(
    character = colDef(
      # Show species under character names
      cell = function(value, index) {
        species <- data$species[index]
        species <- if (!is.na(species)) species else "Unknown"
        div(
          div(style = "font-weight: 600", value),
          div(style = "font-size: 0.75rem", species)
        )
      }
    ),
    species = colDef(show = FALSE)
  ),
  # Vertically center cells
  defaultColDef = colDef(vAlign = "center"),
  defaultPageSize = 6
)

JavaScript render function

reactable(
  data,
  columns = list(
    character = colDef(
      # Show species under character names
      cell = JS('function(cellInfo) {
        const species = cellInfo.row["species"] || "Unknown"
        return `
          <div>
            <div style="font-weight: 600">${cellInfo.value}</div>
            <div style="font-size: 0.75rem">${species}</div>
          </div>
        `
      }'),
      html = TRUE
    ),
    species = colDef(show = FALSE)
  ),
  # Vertically center cells
  defaultColDef = colDef(vAlign = "center"),
  defaultPageSize = 6
)

character

height

mass

gender

homeworld

Luke Skywalker

Human

172

77

masculine

Tatooine

C-3PO

Droid

167

75

masculine

Tatooine

R2-D2

Droid

96

32

masculine

Naboo

Darth Vader

Human

202

136

masculine

Tatooine

Leia Organa

Human

150

49

feminine

Alderaan

Owen Lars

Human

178

120

masculine

Tatooine

1–6 of 87 rows

...

Total rows

library(dplyr)
library(htmltools)

data <- MASS::Cars93[18:47, ] %>%
  select(Manufacturer, Model, Type, Sales = Price)

reactable(
  data,
  defaultPageSize = 5,
  columns = list(
    Manufacturer = colDef(footer = "Total"),
    Sales = colDef(footer = sprintf("$%.2f", sum(data$Sales)))
  ),
  defaultColDef = colDef(footerStyle = list(fontWeight = "bold"))
)

Dynamic totals

This example requires reactable v0.3.0 or above.

To update the total when filtering the table, calculate the total in a JavaScript render function:

reactable(
  data,
  searchable = TRUE,
  defaultPageSize = 5,
  minRows = 5,
  columns = list(
    Manufacturer = colDef(footer = "Total"),
    Sales = colDef(
      footer = JS("function(column, state) {
        let total = 0
        state.sortedData.forEach(function(row) {
          total += row[column.id]
        })
        return total.toLocaleString('en-US', { style: 'currency', currency: 'USD' })
      }")
    )
  ),
  defaultColDef = colDef(footerStyle = list(fontWeight = "bold"))
)

Totals with aggregated rows

reactable(
  data,
  groupBy = "Manufacturer",
  searchable = TRUE,
  columns = list(
    Manufacturer = colDef(footer = "Total"),
    Sales = colDef(
      aggregate = "sum",
      format = colFormat(currency = "USD"),
      footer = JS("function(column, state) {
        let total = 0
        state.sortedData.forEach(function(row) {
          total += row[column.id]
        })
        return total.toLocaleString('en-US', { style: 'currency', currency: 'USD' })
      }")
    )
  ),
  defaultColDef = colDef(footerStyle = list(fontWeight = "bold"))
)

Nested tables

To create nested tables, use reactable() in a row details renderer:

library(dplyr)

data <- MASS::Cars93[18:47, ] %>%
  mutate(ID = as.character(18:47), Date = seq(as.Date("2019-01-01"), by = "day", length.out = 30)) %>%
  select(ID, Date, Manufacturer, Model, Type, Price)

sales_by_mfr <- group_by(data, Manufacturer) %>%
  summarize(Quantity = n(), Sales = sum(Price))

reactable(
  sales_by_mfr,
  details = function(index) {
    sales <- filter(data, Manufacturer == sales_by_mfr$Manufacturer[index]) %>% select(-Manufacturer)
    tbl <- reactable(sales, outlined = TRUE, highlight = TRUE, fullWidth = FALSE)
    htmltools::div(style = list(margin = "12px 45px"), tbl)
  },
  onClick = "expand",
  rowStyle = list(cursor = "pointer")
)

Units on first row only

To display a label on the first row only (even when sorting), use a JavaScript render function to add the label when the cell’s viewIndex property is 0.

If the label breaks the alignment of values in the column, realign the values by adding white space to the cells without units. Two ways to do this are shown below.

data <- MASS::Cars93[40:44, c("Make", "Length", "Luggage.room")]

reactable(
  data,
  class = "car-specs",
  columns = list(
    # Align values using white space (and a monospaced font)
    Length = colDef(
      cell = JS("function(cellInfo) {
        const units = cellInfo.viewIndex === 0 ? '\u2033' : ' '
        return cellInfo.value + units
      }"),
      class = "number"
    ),
    # Align values using a fixed-width container for units
    Luggage.room = colDef(
      name = "Luggage Room",
      cell = JS('function(cellInfo) {
        const units = cellInfo.viewIndex === 0 ? " ft³" : ""
        return cellInfo.value + `<div class="units">${units}</div>`
      }'),
      html = TRUE
    )
  )
)

.car-specs .number {
  font-family: "Courier New", Courier, monospace;
  white-space: pre;
}

.car-specs .units {
  display: inline-block;
  width: 1.125rem;
}

Tooltips

To add tooltips to a column header, you can render the header as an <abbr> element with a title attribute:

library(htmltools)
library(dplyr)

data <- as_tibble(mtcars[1:6, ], rownames = "car") %>%
  select(car:hp)

with_tooltip <- function(value, tooltip) {
  tags$abbr(style = "text-decoration: underline; text-decoration-style: dotted; cursor: help",
            title = tooltip, value)
}

reactable(
  data,
  columns = list(
    mpg = colDef(header = with_tooltip("mpg", "Miles per US gallon")),
    cyl = colDef(header = with_tooltip("cyl", "Number of cylinders")),
    disp = colDef(header = with_tooltip("disp", "Displacement (cubic inches)")),
    hp = colDef(header = with_tooltip("hp", "Gross horsepower"))
  )
)

The title attribute is inaccessible to most keyboard, mobile, and screen reader users, however, so creating tooltips like this is generally discouraged.

An alternate method would be to use the tippy package, which provides a JavaScript-based tooltip that supports keyboard, touch, and screen reader use.

library(htmltools)
library(dplyr)
library(tippy)

data <- as_tibble(mtcars[1:6, ], rownames = "car") %>%
  select(car:hp)

# See the ?tippy documentation to learn how to customize tooltips
with_tooltip <- function(value, tooltip, ...) {
  div(style = "text-decoration: underline; text-decoration-style: dotted; cursor: help",
      tippy(value, tooltip, ...))
}

reactable(
  data,
  columns = list(
    mpg = colDef(header = with_tooltip("mpg", "Miles per US gallon")),
    cyl = colDef(header = with_tooltip("cyl", "Number of cylinders"))
  )
)

Highlight cells

data <- MASS::road[11:17, ]

reactable(
  data,
  defaultColDef = colDef(
    style = function(value, index, name) {
      if (is.numeric(value) && value == max(data[[name]])) {
        list(fontWeight = "bold")
      }
    }
  )
)

Highlight columns

reactable(
  iris[1:5, ],
  columns = list(
    Petal.Length = colDef(style = list(background = "rgba(0, 0, 0, 0.03)"))
  )
)

Highlight rows

reactable(
  iris[1:5, ],
  rowStyle = function(index) {
    if (index == 2) list(fontWeight = "bold")
    else if (iris[index, "Petal.Length"] >= 1.5) list(background = "rgba(0, 0, 0, 0.05)")
  }
)

Highlight sorted headers

To style sortable headers on hover, select headers with an aria-sort attribute and :hover pseudo-class in CSS:

reactable(iris[1:5, ], defaultColDef = colDef(headerClass = "sort-header"))

.sort-header[aria-sort]:hover {
  background: rgba(0, 0, 0, 0.03);
}

To style sorted headers, select headers with either an aria-sort="ascending" or aria-sort="descending" attribute:

.sort-header[aria-sort="ascending"],
.sort-header[aria-sort="descending"] {
  background: rgba(0, 0, 0, 0.03);
}

Highlight sorted columns

To style sorted columns, use a JavaScript function to style columns based on the table’s sorted state:

reactable(
  iris[1:5, ],
  defaultSorted = "Sepal.Width",
  defaultColDef = colDef(
    style = JS("function(rowInfo, column, state) {
      // Highlight sorted columns
      for (let i = 0; i < state.sorted.length; i++) {
        if (state.sorted[i].id === column.id) {
          return { background: 'rgba(0, 0, 0, 0.03)' }
        }
      }
    }")
  )
)

Borders between groups of data

This example requires reactable v0.3.0 or above.

To add borders between groups, use an R or JavaScript function to style rows based on the previous or next row’s data. If the table can be sorted, use a JavaScript function to style rows only when the groups are sorted.

library(dplyr)

data <- as_tibble(MASS::painters, rownames = "Painter") %>%
  filter(School %in% c("A", "B", "C")) %>%
  mutate(School = recode(School, A = "Renaissance", B = "Mannerist", C = "Seicento")) %>%
  select(Painter, School, everything()) %>%
  group_by(School) %>%
  slice(1:3)

reactable(
  data,
  defaultSorted = list(School = "asc", Drawing = "desc"),
  borderless = TRUE,
  rowStyle = JS("
    function(rowInfo, state) {
      // Ignore padding rows
      if (!rowInfo) return

      // Add horizontal separators between groups when sorting by school
      const firstSorted = state.sorted[0]
      if (firstSorted && firstSorted.id === 'School') {
        const nextRow = state.pageRows[rowInfo.viewIndex + 1]
        if (nextRow && rowInfo.values['School'] !== nextRow['School']) {
          // Use box-shadow to add a 2px border without taking extra space
          return { boxShadow: 'inset 0 -2px 0 rgba(0, 0, 0, 0.1)' }
        }
      }
    }
  ")
)

Merge cells

This example requires reactable v0.3.0 or above.

You can give the appearance of merged cells by hiding cells based on the previous row’s data. Just like with the example above, you’ll need a JavaScript style function for grouping to work with sorting, filtering, and pagination.

library(dplyr)

data <- as_tibble(MASS::painters, rownames = "Painter") %>%
  filter(School %in% c("A", "B", "C")) %>%
  mutate(School = recode(School, A = "Renaissance", B = "Mannerist", C = "Seicento")) %>%
  select(School, Painter, everything()) %>%
  group_by(School) %>%
  slice(1:3)

reactable(
  data,
  columns = list(
    School = colDef(
      style = JS("function(rowInfo, column, state) {
        const firstSorted = state.sorted[0]
        // Merge cells if unsorted or sorting by school
        if (!firstSorted || firstSorted.id === 'School') {
          const prevRow = state.pageRows[rowInfo.viewIndex - 1]
          if (prevRow && rowInfo.values['School'] === prevRow['School']) {
            return { visibility: 'hidden' }
          }
        }
      }")
    )
  ),
  outlined = TRUE
)

Borders between columns

reactable(
  iris[1:5, ],
  columns = list(
    Sepal.Width = colDef(style = list(borderRight = "1px solid rgba(0, 0, 0, 0.1)")),
    Petal.Width = colDef(style = list(borderRight = "1px solid rgba(0, 0, 0, 0.1)"))
  ),
  borderless = TRUE
)

Style nested rows

To style nested rows, use a JavaScript function to style rows based on their nesting level property:

data <- MASS::Cars93[4:8, c("Type", "Price", "MPG.city", "DriveTrain", "Man.trans.avail")]

reactable(
  data,
  groupBy = "Type",
  columns = list(
    Price = colDef(aggregate = "max"),
    MPG.city = colDef(aggregate = "mean", format = colFormat(digits = 1)),
    DriveTrain = colDef(aggregate = "unique"),
    Man.trans.avail = colDef(aggregate = "frequency")
  ),
  rowStyle = JS("function(rowInfo) {
    if (rowInfo.level > 0) {
      return { background: '#eee', borderLeft: '2px solid #ffa62d' }
    } else {
      return { borderLeft: '2px solid transparent' }
    }
  }"),
  defaultExpanded = TRUE
)

Custom fonts

Tables don’t have a default font, and just inherit the font properties from their parent elements. (This may explain why tables look different in R Markdown documents or Shiny apps vs. standalone pages).

To customize the table font, you can set a font on the page, or on the table itself:

reactable(
  iris[1:5, ],
  style = list(fontFamily = "Work Sans, sans-serif", fontSize = "0.875rem"),
  defaultSorted = "Species"
)

To use a custom font that’s not installed on your users’ systems by default, use the @font-face CSS rule to add the font and specify where to download it from.

Online font services such as Google Fonts can make this easier by hosting custom fonts and providing 1-2 lines of HTML to copy into your document to use those fonts.

For example, to include a font from Google Fonts in an R Markdown document, add a <link> tag pointing to the font stylesheet somewhere:

```{r, echo=FALSE}
# Add a custom font from Google Fonts
htmltools::tags$link(href = "https://fonts.googleapis.com/css?family=Work+Sans:400,600,700&display=fallback",
                     rel = "stylesheet")
```

Or in Shiny apps, the <link> tag can be included in the <head> of the page via ui:

library(shiny)
library(reactable)

ui <- fluidPage(
  tags$head(
    tags$link(
      href = "https://fonts.googleapis.com/css?family=Work+Sans:400,600,700&display=fallback",
      rel = "stylesheet"
    ),
    tags$style("
      body {
        font-family: Work Sans, sans-serif;
      }
    ")
  ),
  reactable(
    MASS::Cars93[, 1:5],
    defaultSorted = "Price"
  )
)

server <- function(input, output) {}

shinyApp(ui, server)

For an example of using self-hosted custom fonts, see the Popular Movies demo.

Tip: The reactable package documentation uses the default system fonts installed on your operating system (also known as a system font stack), which load fast and look familiar:

font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Helvetica, Arial, sans-serif;

Bootstrap 5 also uses a system font stack by default.

Custom sort indicators

To use a custom sort indicator, you can hide the default sort icon using reactable(showSortIcon = FALSE) and add your own sort indicator.

This also hides the sort icon when a header is focused, so be sure to add a visual focus indicator to ensure your table is accessible to keyboard users (to test this, click the first table header then press the Tab key to navigate to other headers).

Here’s an example that changes the sort indicator to a bar on the top or bottom of the header (indicating an ascending or descending sort), and adds a light background to headers when hovered or focused.

This example adds sort indicators using only CSS, and takes advantage of the aria-sort attribute on table headers to style based on whether the column is sorted in ascending or descending order.

reactable(
  MASS::Cars93[1:5, c("Manufacturer", "Model", "Type", "Min.Price", "Price")],
  showSortIcon = FALSE,
  bordered = TRUE,
  defaultSorted = "Type",
  defaultColDef = colDef(headerClass = "bar-sort-header")
)

.bar-sort-header:hover,
.bar-sort-header:focus {
  background: rgba(0, 0, 0, 0.03);
}

/* Add a top bar on ascending sort */
.bar-sort-header[aria-sort="ascending"] {
  box-shadow: inset 0 3px 0 0 rgba(0, 0, 0, 0.6);
}

/* Add a bottom bar on descending sort */
.bar-sort-header[aria-sort="descending"] {
  box-shadow: inset 0 -3px 0 0 rgba(0, 0, 0, 0.6);
}

/* Add an animation when toggling between ascending and descending sort */
.bar-sort-header {
  transition: box-shadow 0.3s cubic-bezier(0.175, 0.885, 0.32, 1.275);
}