Notes: setting up my R environment by loading the ‘tidyverse’ and ‘palmer penguins’ packages
library(tidyverse)
## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ──
## ✔ ggplot2 3.4.0 ✔ purrr 0.3.5
## ✔ tibble 3.1.8 ✔ dplyr 1.0.10
## ✔ tidyr 1.2.1 ✔ stringr 1.5.0
## ✔ readr 2.1.3 ✔ forcats 0.5.2
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
library(palmerpenguins)
data("penguins")
view(penguins)
Here, I used the ggplot function to create a scatter plot that plots flipper length of all three species versus the body mass in grams.
ggplot(data = penguins)+
geom_point(mapping = aes(x = flipper_length_mm, y = body_mass_g, color = species))+
labs(title = "Flipper Length vs Body Mass", subtitle = "Survival of the fittest", x = "Flipper length (mm)", y = "Body mass (g)" )