demo.Rmd (1474B)
1 --- 2 title: "Demonstrations" 3 author: "Eamon Caddigan" 4 date: "9/4/2021" 5 output: html_document 6 --- 7 8 ```{r setup, include=FALSE} 9 knitr::opts_chunk$set(echo = TRUE) 10 ``` 11 12 First, make sure we have the libraries we need and import the R scripts. 13 14 ```{r} 15 library(colorspace) 16 library(grDevices) 17 ``` 18 ```{r} 19 source('dissimilarity.R') 20 source('seq_dissim_colors.R') 21 source('color_utils.R') 22 set.seed(271191508) 23 ``` 24 ```{r} 25 compare_colors <- function(cols, cvd_function = identity) { 26 colorspace::swatchplot(cols, 27 RGB2hex(apply_cvd(col2RGB(cols), cvd_function))) 28 } 29 ``` 30 31 Next let's grab some random colors and show them. 32 33 ```{r} 34 some_colors <- c('red', 'black', 'white', 'khaki', 'gray50', 35 '#a6cee3', '#1f78b4', '#b2df8a', '#33a02c') 36 #some_colors <- paste0("gray", round(seq(10, 90, length.out = 13))) 37 #some_colors <- colorRampPalette(c("gray10", "gray90"), space = "Lab")(6) 38 some_colors <- sample(some_colors) 39 colorspace::swatchplot(some_colors) 40 ``` 41 42 Here's the mild deuteranomaly we're using for the default color comparison (it's more extreme than my own). 43 44 ```{r} 45 compare_colors(some_colors, function(x) colorspace::deutan(x, 0.5)) 46 ``` 47 48 And here's the dissimilarity matrix of the colors. 49 50 ```{r} 51 dissim_mat <- cvd_dissimilarity(some_colors, "none") 52 image(dissim_mat) 53 ``` 54 55 Let's look at sets of dissimilar colors from the palette. 56 57 ```{r} 58 colorspace::swatchplot(some_colors, 59 some_colors[seq_dissim_colors(dissim_mat)]) 60 ```