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block11_ggplot2.R
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block11_ggplot2.R
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library(ggplot2)
gdURL <- "http://www.stat.ubc.ca/~jenny/notOcto/STAT545A/examples/gapminder/data/gapminderDataFiveYear.txt"
gDat <- read.delim(file = gdURL)
str(gDat)
ggplot(gDat, aes(x = gdpPercap, y = lifeExp)) # error!
p <- ggplot(gDat, aes(x = gdpPercap, y = lifeExp)) # just initializes
p + layer(geom = "point")
p + geom_point()
ggplot(gDat, aes(x = log10(gdpPercap), y = lifeExp)) + geom_point()
## the usual crappy axis tick marks that come from "direct" log transform
p + geom_point() + scale_x_log10()
## a bit better
## trying something from qplot ... does not work
## ggplot(gDat, aes(x = gdpPercap, y = lifeExp), log = "x") + geom_point()
ggplot(gDat, aes(x = gdpPercap, y = lifeExp, color = continent)) + geom_point() +
scale_x_log10()
## and now, same result but by reusing p
p + geom_point() + scale_x_log10() + aes(color = continent)
p + geom_point(aes(color = continent)) + scale_x_log10()
ggplot(gDat, aes(x = gdpPercap, y = lifeExp)) + geom_point(alpha = (1/8)) + scale_x_log10()
p + geom_point() + scale_x_log10() + geom_smooth()
p + geom_point() + scale_x_log10() + geom_smooth(method = "lm")
## connect the dots scatterplot of lifeExp over year for one country
ggplot(subset(gDat, country == "Zimbabwe"),
aes(x = year, y = lifeExp)) + geom_line() + geom_point()
## geom_path() works here to because our data already sorted on year
## stripplots of lifeExp by continent
ggplot(gDat, aes(x = continent, y = lifeExp)) + geom_point()
ggplot(gDat, aes(x = continent, y = lifeExp)) + geom_jitter()
ggplot(gDat, aes(x = continent, y = lifeExp)) + geom_boxplot()
## distribution of a quant var
ggplot(gDat, aes(x = lifeExp)) + geom_histogram()
ggplot(gDat, aes(x = lifeExp)) + geom_density()
ggplot(gDat, aes(x = lifeExp, fill = continent)) + geom_histogram()
ggplot(gDat, aes(x = lifeExp, color = continent)) + geom_density()
## bar chart
ggplot(gDat, aes(x = continent)) + geom_bar()
ggplot(gDat, aes(x = continent), stat="bin") + geom_bar()
ggplot(gDat, aes(x = continent)) + layer(stat="bin")
ggplot(gDat, aes(x = continent, y = country)) + layer(stat="sum")
ggplot(gDat, aes(x = continent, y = country)) + stat_sum()
## still not exactly what I want; how to count countries within continent?
ggplot(gDat, aes(x = reorder(continent, lifeExp), y = country)) + stat_sum()
ggplot(gDat, aes(x = gdpPercap, y = lifeExp)) +
scale_x_log10() + geom_bin2d()
ggplot(gDat, aes(x = gdpPercap, y = lifeExp, color = continent)) + geom_point() + scale_x_log10()
ggplot(gDat, aes(x = gdpPercap, y = lifeExp, color = continent)) + geom_point() +
scale_x_log10() + geom_smooth()
ggplot(gDat, aes(x = gdpPercap, y = lifeExp)) + geom_point() +
scale_x_log10() + facet_wrap(~ continent)
ggplot(gDat, aes(x = gdpPercap, y = lifeExp)) + geom_point() +
scale_x_log10() + facet_wrap(~ continent) + geom_smooth()
ggplot(gDat, aes(x = lifeExp)) + geom_density()
ggplot(gDat, aes(x = lifeExp, color = continent)) + geom_density()
ggplot(gDat, aes(x = lifeExp)) + geom_density() +
facet_wrap(~ continent)
ggplot(subset(gDat, subset = year == 2007),
aes(x = continent, y = lifeExp)) + geom_point()
ggplot(subset(gDat, subset = year == 2007),
aes(x = continent, y = lifeExp)) +
geom_jitter(position = position_jitter(width = .2))
## below here very experimental ....
ggplot(subset(gDat, subset = year %% 10 == 2 & continent != "Oceania"),
aes(x = gdpPercap, y = lifeExp, color = country)) + geom_point() +
scale_x_log10() + facet_grid(continent ~ year)
ggplot(subset(gDat, year == 2007),
aes(x = gdpPercap, y = lifeExp,
colour=continent, size = 1500 *sqrt(pop/pi))) + geom_point() +
scale_x_log10()
ggplot(gDat, aes(x = lifeExp)) + geom_histogram()
iDat <- subset(gDat, year == c(1952, 2002))
str(iDat)
jDat <- subset(gDat, year %in% c(1952, 2002))
str(jDat)