SEASIDE CHAT TOPICS
Preamble. This is a running list, curated and opinionated. Last updated April 2019. See also our blog post about Champions’ Seaside Chats.
List of tutorials
Each are 20 min to 1-hour, and a mix of written tutorials, blogs, slide decks, videos, and podcasts. Categorized as first things to learn and more advanced. Some listed are half-day but could be broken up into different sessions.
First things to learn
How to name things, Jenny Bryan (slide deck, 15 mins)
Intro to RMarkdown, Eco-Data-Science (tutorial, 1 hour)
Making free websites with RStudio’s R Markdown, Ocean Health Index (tutorial, 1 hour). Basics of RMarkdown-GitHub workflow, create a simple website to share documentation
Overview of janitor functions, Sam Firke (vignette, 20 mins). The janitor functions expedite the initial data exploration and cleaning that comes with any new data set.
skimr’s skim function, Elin Waring (vignette, 20 mins). skimr is designed to provide summary statistics about variables.
Introduction to cowplot, Claus Wilke (vignette, 45 mins).
A bit more advanced
GitHub: A beginner’s guide to going back in time (aka fixing mistakes), Ocean Health Index (tutorial, 20 mins)
rfishbase, rOpenSci (tutorial, 20 mins). Describes the limitations and awesomeness
Intro to spatial analysis in R, Ocean Health Index (turtorials, 1.5 hours). Polygon and raster tutorials.
Spatial Joins in R with sf, Ryan Peek (tutorials, half-day)
Where does our lab store data:
- where are the original data,
- where are they going to live permanently,
- how are the steps from raw to final documented?