maidr 0.1.1

Resubmission after CRAN archival. Fixes CRAN policy compliance issues.

Bug Fixes

• Removed all assign(..., envir = .GlobalEnv) calls that violated CRAN policy. Base R function wrappers are now installed into the package namespace during .onLoad and controlled via an active/inactive flag, eliminating any modification of the user’s global environment.
• Removed attach() usage that produced R CMD check NOTE.
• Fixed Rd documentation warning caused by unicode escape sequences in prefix_to_currency_code parameter documentation.

Enhancements

• Added subtitle and caption support to the MAIDR payload for both ‘ggplot2’ and Base R plots.
• Added scales formatting support for Base R axis labels (currency, percent, comma, scientific notation).

maidr 0.1.0

Initial CRAN release.

Features

• show() - Display interactive, accessible visualizations from ggplot2 or Base R plots with keyboard navigation and screen reader support
• save_html() - Export accessible visualizations to standalone HTML files
• render_maidr() and maidr_output() - Shiny integration for interactive web applications

Supported Plot Types

ggplot2 - Basic

• Bar charts (geom_bar(), geom_col())
• Grouped/dodged bar charts (position = "dodge")
• Stacked bar charts (position = "stack")
• Histograms (geom_histogram())
• Line plots (geom_line())
• Scatter plots (geom_point())
• Box plots (geom_boxplot())
• Heatmaps (geom_tile())
• Smooth/density curves (geom_smooth(), geom_density())

ggplot2 - Advanced

• Faceted plots (facet_wrap(), facet_grid())
• Multi-panel layouts with patchwork package
• Multi-layered plots (e.g., histogram + density, scatter + smooth)

Base R - Basic

• Bar plots (barplot())
• Grouped bar plots (beside = TRUE)
• Stacked bar plots (beside = FALSE)
• Histograms (hist())
• Line plots (plot() with type = "l", lines())
• Scatter plots (plot())
• Box plots (boxplot())
• Heatmaps (image())
• Density curves (lines(density()))

Base R - Advanced

• Multi-panel plots (par(mfrow), par(mfcol))
• Faceted-style plots (using par() with loops)
• Multi-layered plots (sequential plotting calls)

Accessibility Features

• Keyboard navigation for data exploration
• Screen reader compatibility with ARIA labels
• Sonification (audio representation of data)
• Multiple sensory modalities for data access