library(tidyverse)
library(palmerpenguins)
names(penguins)[1] "species" "island" "bill_length_mm"
[4] "bill_depth_mm" "flipper_length_mm" "body_mass_g"
[7] "sex" "year"
Week 3
Julianne Clina, PhD
July 8, 2026
ggplot(
data = penguins,
mapping = aes(x = bill_length_mm, y = bill_depth_mm, color = species)
) +
geom_point() +
labs(
title = "Bill length and bill depth by species",
x = "Bill length (mm)",
y = "Bill depth (mm)",
color = "Species"
) +
theme_minimal() +
theme(
plot.title = element_text(hjust = 0.5),
plot.subtitle = element_text(hjust = 0.5)
)
theme_penguins <- function() {
theme_minimal() +
theme(
plot.title.position = "plot",
plot.title = element_text(hjust = 1),
plot.subtitle = element_text(hjust = 1),
legend.position = "bottom",
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
axis.line = element_line(color = "blue"),
axis.ticks = element_line(color = "blue")
)
}
ggplot(
data = penguins,
mapping = aes(
x = flipper_length_mm,
y = body_mass_g,
color = species
)
) +
geom_point() +
facet_wrap(~species) +
labs(
title = "Penguin body mass by flipper length",
subtitle = "Faceted by species",
x = "Flipper length (mm)",
y = "Body Mass (g)",
color = "Species"
) +
theme_penguins()
cars_theme <- function() {
theme_classic() +
theme(
legend.position = "bottom",
plot.title = element_text(face = "bold"),
plot.subtitle = element_text(face = "italic")
)
}
ggplot(
data = mtcars,
mapping = aes(
x = hp,
y = mpg,
color = factor(cyl),
shape = factor(cyl)
)
) +
geom_point(size = 3) +
geom_smooth(method = "lm", se = FALSE) +
facet_wrap(
~ am,
labeller = labeller(
am = c(
"0" = "Automatic",
"1" = "Manual"
)
)
) +
labs(
title = "Fuel economy by horsepower",
subtitle = "Colored by number of cylinders and faceted by transmission",
x = "Horsepower",
y = "Miles per gallon (mpg)",
color = "Number of cylinders",
shape = "Number of cylinders"
) +
cars_theme()