Key Colors
The colors in the discrete palette are:
scales::show_col(test_pal)
scales::show_col(unhcr_pal)
#> Warning in rect(col(colours) - 1, -row(colours) + 1, col(colours),
#> -row(colours), : supplied color is neither numeric nor character
#> Warning in rect(col(colours) - 1, -row(colours) + 1, col(colours),
#> -row(colours), : supplied color is neither numeric nor character
#> Warning in rect(col(colours) - 1, -row(colours) + 1, col(colours),
#> -row(colours), : supplied color is neither numeric nor character
#> Warning in rect(col(colours) - 1, -row(colours) + 1, col(colours),
#> -row(colours), : supplied color is neither numeric nor character
#> Warning in rect(col(colours) - 1, -row(colours) + 1, col(colours),
#> -row(colours), : supplied color is neither numeric nor character
#> Warning in rect(col(colours) - 1, -row(colours) + 1, col(colours),
#> -row(colours), : supplied color is neither numeric nor character
#> Warning in rect(col(colours) - 1, -row(colours) + 1, col(colours),
#> -row(colours), : supplied color is neither numeric nor character
#> Warning in rect(col(colours) - 1, -row(colours) + 1, col(colours),
#> -row(colours), : supplied color is neither numeric nor character
#> Warning in rect(col(colours) - 1, -row(colours) + 1, col(colours),
#> -row(colours), : supplied color is neither numeric nor character
#> Warning in rect(col(colours) - 1, -row(colours) + 1, col(colours),
#> -row(colours), : supplied color is neither numeric nor character
#> Warning in rect(col(colours) - 1, -row(colours) + 1, col(colours),
#> -row(colours), : supplied color is neither numeric nor character
#> Warning in rect(col(colours) - 1, -row(colours) + 1, col(colours),
#> -row(colours), : supplied color is neither numeric nor character
The colors used to define the continuous palette spectrum are:
scales::show_col(test_pal_cont)
The colors used in the diverging palette are:
scales::show_col(test_pal_div)
Discrete Palettes
Consider the following plots:
# make fake data for plots ----
points <- data.frame(x = 1:10, y = 1:10)
# make plots for themes ----
g_points <- ggplot(points, aes(x, y, col = factor(x))) +
geom_point(size = 5) +
unhcr_theme()
g_points
distrb <- data.frame(x = rep(1:6, 10), y = rnorm(60, 0, 1))
g_distrb <- ggplot(distrb, aes(y, fill = factor(x))) +
geom_density() +
facet_wrap(. ~ x, ncol = 3) +
unhcr_theme()
g_distrb
Fixed-length discrete palettes use the palette’s selected colors until they run out, then it uses grey for all additional levels of the aesthetic.
g_points + scale_color_discrete_unhcr(palette = "test")
#> Warning: This manual palette can handle a maximum of 4 values. You have supplied
#> 10.Set parameter extend = TRUE if you wish to interpolate a broader spectrum of
#> colors.
g_distrb + scale_fill_discrete_unhcr(palette = "test")
#> Warning: This manual palette can handle a maximum of 4 values. You have supplied
#> 6.Set parameter extend = TRUE if you wish to interpolate a broader spectrum of
#> colors.
Interpolated palettes extend the discrete palette by interpolating additional values.
g_points +
scale_color_discrete_unhcr(palette = "test", extend = TRUE)
g_distrb +
scale_fill_discrete_unhcr(palette = "test", extend = TRUE)
Opinionated palettes color specific values for “good”, “bad”, and “neutral” in your dataset.
points$assessment <- "neutral"
points$assessment[points$x > 5] <- "good"
points$assessment[points$x < 3] <- "bad"
ggplot(points, aes(x, y, col = assessment)) +
geom_point() +
scale_color_opinionated_unhcr(palette = "test")
Continuous Palettes
Consider the following plots:
g_points_cont <- ggplot(points, aes(x, y, col = x)) +
geom_point(size = 5) +
unhcr_theme()
g_points_cont
Diverging palettes grow more extreme at the endpoints. You can specify the midpoint of where the center should be.
g_points_cont +
scale_color_diverging_unhcr(palette = "test", midpoint = 5)
Normal continuous scales gradually move between two ends of a spectrum.
g_points_cont +
scale_color_continuous_unhcr(palette = "test")