reactablefmtr R Package

The package includes over 24 custom themes, including Bootstrap themes and styles inspired by news/sports sites like The New York Times, FiveThirtyEight, and ESPN. Themes can be applied to any {reactablefmtr} or {reactable} table by referencing the theme name.

# Example: applying a theme
# reactable(data, theme = fivethirtyeight())

You can install the stable version of reactablefmtr from CRAN, or install the development version from GitHub using remotes.

# Install from CRAN
install.packages("reactablefmtr")

# Install development version from GitHub
remotes::install_github("kcuilla/reactablefmtr")

Use color_scales() to assign conditional colors to cells based on their relative values. The text color automatically adjusts to maintain readability against the cell's background color.

# Use color_scales() within colDef(cell = ...)

Use the data_bars() function to assign horizontal bars to rows. This is a much simpler alternative to manually writing HTML/CSS for bar charts within reactable. The bars animate automatically when the table is sorted. You can customize alignment, text position, icons, and images.

library(reactablefmtr)

reactable(
  data,
  defaultColDef = colDef(
    cell = data_bars(data, text_position = "outside-base")
  )
)

Use save_reactable() to export your tables. You can save them as static PNG images or interactive HTML files. If you are working in an R Markdown document with custom CSS, you can pass the .Rmd filename to save_reactable() to capture the styling.

# Save as PNG
save_reactable(table_name, "table.png")

# Save as HTML
save_reactable(table_name, "table.html")

# Using a pipe
table_name %>%
  save_reactable("table.png")

# Saving from R Markdown with custom CSS
save_reactable("table_name.Rmd", "table.png")

Use bubble_grid() to create bubble grid tables. You can control the appearance of the bubbles using the shape parameter, which allows for either circles or squares.

# Use bubble_grid()

You can easily add metadata to your tables using add_title(), add_subtitle(), and add_source(). These functions allow for customization of alignment, font size, font family, font style, and font color.

reactable(iris[10:29, ]) %>%
  add_title("This is a title") %>%
  add_subtitle("This is a subtitle") %>%
  add_source("This is a source")

Use react_sparkline() for line sparklines or react_sparkbar() for sparkline bar charts. These are interactive: hovering over data points reveals their values.

Note: These features are imported from the {dataui} package, which must be installed from GitHub to use this functionality.

# Use react_sparkline() or react_sparkbar()