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maidr

Overview

maidr (Multimodal Access and Interactive Data Representation) makes data visualizations accessible to users with visual impairments. It converts ggplot2 and Base R plots into interactive, accessible HTML/SVG formats with keyboard navigation, screen reader support, and sonification.

The package provides two main functions:

show() displays an interactive accessible plot in RStudio Viewer or browser
save_html() exports a plot as a standalone HTML file

Installation

# Install from CRAN (coming soon)
install.packages("maidr")

# Or install development version from GitHub
pak::pak("xability/r-maidr")

# Alternative: using pacman (auto-installs if missing)
pacman::p_load_gh("xability/r-maidr")

Usage

ggplot2

library(maidr)
library(ggplot2)

p <- ggplot(mpg, aes(x = class)) +
  geom_bar(fill = "steelblue") +
  labs(title = "Vehicle Classes", x = "Class", y = "Count")

# Display interactive accessible plot
show(p)

# Or save to file
save_html(p, "vehicle_classes.html")

Base R

library(maidr)

# Create plot first
barplot(
  table(mtcars$cyl),
  main = "Cars by Cylinder Count",
  xlab = "Cylinders",
  ylab = "Count"
)

# Then call show() without arguments
show()

Supported plot types

maidr supports a wide range of visualization types in both ggplot2 and Base R:

Basic Plot Types

Plot Type	ggplot2	Base R
Bar charts	`geom_bar()`, `geom_col()`	`barplot()`
Grouped/Dodged bars	`position = "dodge"`	`beside = TRUE`
Stacked bars	`position = "stack"`	`beside = FALSE`
Histograms	`geom_histogram()`	`hist()`
Scatter plots	`geom_point()`	`plot()`
Line plots	`geom_line()`	`plot(type = "l")`, `lines()`
Box plots	`geom_boxplot()`	`boxplot()`
Heatmaps	`geom_tile()`	`image()`
Density/Smooth	`geom_smooth()`, `geom_density()`	`lines(density())`

Advanced Plot Types

Plot Type	ggplot2	Base R
Faceted plots	`facet_wrap()`, `facet_grid()`	`par(mfrow/mfcol)` + loops
Multi-panel layouts	`patchwork` package	`par(mfrow)`, `par(mfcol)`
Multi-layered plots	Multiple `geom_*` layers	Sequential plot calls

See vignette("plot-types") for detailed examples of each plot type.

Accessibility features

Keyboard navigation - explore data points using arrow keys
Screen reader support - full ARIA labels and live announcements
Sonification - hear data patterns through sound
Text descriptions - automatic statistical summaries

Getting help

Report bugs or request features at GitHub Issues
Read the documentation at the package website

Learning more

vignette("getting-started", package = "maidr") for an introduction
vignette("plot-types", package = "maidr") for supported visualizations
vignette("shiny-integration", package = "maidr") for Shiny apps

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.