country_colors: Gapminder color schemes.
In YTLogos/gapminder: Data from Gapminder

Description Usage Format See Also Examples

Color schemes for the countries and continents in the Gapminder data.

1	country_colors

Named character vectors giving country and continent colors:

country_colors: colors for the 142 countries
continent_colors: colors for the 5 continents

gapminder for a description of the dataset

# ggplot2 examples are below these base graphics examples!

# using country_colors with base graphics

# for convenience, integrate the country colors into the data.frame
gap_with_colors <-
  data.frame(gapminder,
             cc = I(country_colors[match(gapminder$country,
                                         names(country_colors))]))

# bubble plot, focus just on Africa and Europe in 2007
keepers <- with(gap_with_colors,
                continent %in% c("Africa", "Europe") & year == 2007)
plot(lifeExp ~ gdpPercap, gap_with_colors,
     subset = keepers, log = "x", pch = 21,
     cex = sqrt(gap_with_colors$pop[keepers]/pi)/1500,
     bg = gap_with_colors$cc[keepers])

if (require(ggplot2)) {

# with ggplot2, just provide country_colors to scale_color_manual():
# ... + scale_color_manual(values = country_colors) + ...

# simple line plot for 5 countries
h_countries <- c("Egypt", "Haiti", "Romania", "Thailand", "Venezuela")
h_dat <- droplevels(subset(gapminder, country %in% h_countries))
h_dat$country <- with(h_dat, reorder(country, lifeExp, max))
ggplot(h_dat, aes(x = year, y = lifeExp)) +
  geom_line(aes(color = country)) +
  scale_colour_manual(values = country_colors) +
  guides(color = guide_legend(reverse = TRUE))

# spaghetti plot for lots of countries
ggplot(subset(gapminder, continent != "Oceania"),
       aes(x = year, y = lifeExp, group = country, color = country)) +
  geom_line(lwd = 1, show_guide = FALSE) + facet_wrap(~ continent) +
  scale_color_manual(values = country_colors) +
  theme_bw() + theme(strip.text = element_text(size = rel(1.1)))
  
# bubble plot for lots of countries
gap_bit <- subset(gapminder, year == 2007 & continent != "Oceania")
gap_bit <- gap_bit[with(gap_bit, order(continent, -1 * pop)), ]
ggplot(gap_bit, aes(x = gdpPercap, y = lifeExp, size = pop)) +
  scale_x_log10(limits = c(150, 115000)) + ylim(c(16, 96)) +
  geom_point(pch = 21, color = 'grey20', show_guide = FALSE) +
  scale_size_area(max_size = 40) +
  facet_wrap(~ continent) + coord_fixed(ratio = 1/43) +
  aes(fill = country) + scale_fill_manual(values = country_colors) +
  theme_bw() + theme(strip.text = element_text(size = rel(1.1)))
}