My Website

Welcome to the website. I hope you enjoy it!

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Distill is a publication format for scientific and technical writing, native to the web.

Learn more about using Distill for R Markdown at https://rstudio.github.io/distill.

You won’t have to use GitHub for the session, but many of tools we’ll use integrate nicely with version control via GitHub. To get started, complete these installation instructions, then test your connection between GitHub and RStudio following these steps.¹.

Code here

library(palmerpenguins)
library(tidyverse)
penguins %>% 
  filter(year == 2007 & species == "Gentoo") %>% 
  summarise(mean_fl = mean(flipper_length_mm, na.rm = TRUE))

# A tibble: 1 x 1
  mean_fl
    <dbl>
1    215.

# Histogram example: flipper length by species
ggplot(data = penguins, aes(x = flipper_length_mm)) +
  geom_histogram(aes(fill = species), alpha = 0.5, position = "identity") +
  scale_fill_manual(values = c("darkorange","darkorchid","cyan4"))

Figure 1: some cool penguins

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1. We strongly recommend that if you are not already a fluent GitHub user you choose HTTPS over SSH.↩︎