# example taken from palmerpenguins example analysis of mass vs. flipper length
# https://allisonhorst.github.io/palmerpenguins/articles/examples.html
suppressPackageStartupMessages({
suppressWarnings({
library(palmerpenguins)
library(fs)
library(dplyr)
library(ggplot2)
library(ragg)
})
})
# create temp directory
dir_create(path(tempdir(), "figures"))
# data
penguins_mass_flipper <- penguins %>%
select(species, flipper_length_mm, body_mass_g)
# graph
penguins_mass_flipper_plot <- ggplot(data = penguins_mass_flipper,
aes(x = flipper_length_mm,
y = body_mass_g)) +
geom_point(aes(color = species,
shape = species),
size = 3,
alpha = 0.8) +
theme_minimal() +
scale_color_manual(values = c("darkorange","purple","cyan4")) +
labs(title = "Penguin size, Palmer Station LTER",
subtitle = "Flipper length and body mass for Adelie, Chinstrap and Gentoo Penguins",
x = "Flipper length (mm)",
y = "Body mass (g)",
color = "Penguin species",
shape = "Penguin species") +
theme(legend.position = c(0.2, 0.7),
legend.background = element_rect(fill = "white", color = NA),
plot.title.position = "plot",
plot.caption = element_text(hjust = 0, face= "italic"),
plot.caption.position = "plot")
# save graph
suppressWarnings({
ggsave(filename = path(tempdir(), "figures", "penguins_mass_flipper_plot.png"),
plot = penguins_mass_flipper_plot,
device = agg_png,
width = 6,
height = 6,
units = "in",
dpi = 72)
})
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