Continuing your learning

Here are resources for continuing your learning of the topics that you studied this week:

Intro to R

• Software Carpentry free tutorial

• Data Camp free tutorial. Takes about 4 hours.

• You can also learn R straight from within R using the swirl package. This doesn’t require internet access except to install the package.

• Basic R introduction from ComputerWorld.

More R Workflow

• Software Carpenter has a course that covers some of more advanced topics I did not cover on R workflow: data wrangling with dplyr, tidyverse, and more on RStudio projects. Reproducible Research with R

• Eric Anderson produced a couple online courses on R workflow while with NOAA Fisheries. R Reproducible Research 2015 and Reproducible Research 2017

Forecasting and Exponential Smoothing Models

Rob J Hyndman (lead on the forecast package) and George Athanasopoulos have an excellent online text on practical forecasting and exponential smoothing.

Shiny Apps

Start with RStudio’s online tutorial for shiny apps.