--- title: "Exploring Van Gogh Palettes in R" author: "Van Gogh Palette Package" output: rmarkdown::html_vignette vignette: > %\VignetteIndexEntry{Exploring Van Gogh Palettes} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- # ------------------------------------------------------------------------------ # 1. Display a single palette # ------------------------------------------------------------------------------ # Visualise a discrete palette vangogh::viz_palette("StarryNight") # Visualise a colorblind-safe palette (\dontrun{} optional) # \dontrun{ vangogh::viz_palette("Cypresses", colorblind = TRUE) # } # ------------------------------------------------------------------------------ # 2. Generate colorblind-safe versions # ------------------------------------------------------------------------------ # Standard palette pal_orig <- vangogh::safe_vangogh_palette("StarryNight") pal_orig # Colorblind-safe version (\dontrun{} optional) # \dontrun{ pal_safe <- vangogh::safe_vangogh_palette("StarryNight", colorblind = TRUE) pal_safe # } # Compare original vs colorblind palettes (\dontrun{} optional) # \dontrun{ vangogh::compare_palettes(c("StarryNight", "Cypresses"), colorblind = TRUE) # } # ------------------------------------------------------------------------------ # 3. Discrete vs Continuous palettes # ------------------------------------------------------------------------------ # Discrete palettes: fixed number of colors, best for categorical data pal_discrete <- vangogh::safe_vangogh_palette("SunflowersMunich", type = "discrete") pal_discrete # Continuous palettes: interpolate to n colors, ideal for gradients pal_cont <- vangogh::safe_vangogh_palette("CafeTerrace", type = "continuous", n = 12) vangogh::viz_palette("CafeTerrace", type = "continuous", n = 12) # ------------------------------------------------------------------------------ # 4. Working with ggplot2 # ------------------------------------------------------------------------------ # 4a. Discrete color scale ggplot2::ggplot(mtcars, ggplot2::aes(mpg, wt, color = factor(cyl))) + ggplot2::geom_point(size = 3) + vangogh::scale_color_vangogh("StarryNight") + vangogh::theme_vangogh(base_size = 14) + ggplot2::labs(title = "Discrete Van Gogh Color Scale Example") # 4b. Continuous color scale ggplot2::ggplot(mtcars, ggplot2::aes(mpg, wt, color = hp)) + ggplot2::geom_point(size = 3) + vangogh::scale_color_vangogh("Cypresses", discrete = FALSE) + vangogh::theme_vangogh() + ggplot2::labs(title = "Continuous Van Gogh Color Scale Example") # 4c. Fill scales ggplot2::ggplot(diamonds, ggplot2::aes(cut, fill = clarity)) + ggplot2::geom_bar() + vangogh::scale_fill_vangogh("CafeDeNuit") + vangogh::theme_vangogh() + ggplot2::labs(title = "Discrete Fill Example") # Continuous fill example ggplot2::ggplot(diamonds, ggplot2::aes(carat, price, fill = price)) + ggplot2::geom_tile() + vangogh::scale_fill_vangogh("StarryRhone", discrete = FALSE) + vangogh::theme_vangogh() + ggplot2::labs(title = "Continuous Fill Example") # ------------------------------------------------------------------------------ # 5. Inspect all palettes programmatically # ------------------------------------------------------------------------------ # Get tidy data frame of all palettes all_palettes <- vangogh::vangogh_colors() head(all_palettes) # With colorblind adjustment (\dontrun{} optional) # \dontrun{ all_palettes_safe <- vangogh::vangogh_colors(colorblind = TRUE) head(all_palettes_safe) # } # List all palette names names(vangogh::vangogh_palettes) # ------------------------------------------------------------------------------ # 6. Multi-palette comparison visualisation # ------------------------------------------------------------------------------ # Compare multiple palettes side-by-side (\dontrun{} optional) # \dontrun{ vangogh::compare_palettes(c("StarryNight", "SunflowersMunich", "CafeTerrace")) # } # ------------------------------------------------------------------------------ # 7. Additional functions # ------------------------------------------------------------------------------ # View detailed palette info vangogh::vangogh_palette_info() # Future features: suggested palettes # \dontrun{ # vangogh::vangogh_suggest(7, colorblind = TRUE) # } # Future features: export palettes # \dontrun{ # vangogh::vangogh_export("palettes.json", colorblind = TRUE) # vangogh::vangogh_export("palettes.csv") # }