I love starting new projects! This will be the first episode of a small project and we'll start with getting set up and connecting RStudio directly to github to launch a new and existing project. Our new project will demo how to use machine learning tools to analyze microbiome data using the mikropml R package that has been developed by Pat's research group. We'll do the entire (hopefully!) proejct in RStudio to check out its tools for reproducible research.
I love starting new projects! This will be the first episode of a small project and we'll start with getting set up and connecting RStudio directly to github to launch a new and existing project. Our new project will demo how to use machine learning tools to analyze microbiome data using the mikropml R package that has been developed by Pat's research group. We'll do the entire (hopefully!) proejct in RStudio to check out its tools for reproducible research.
In this episode, Pat will use #RStudio and #GitHub. The accompanying blog post can be found at https://www.riffomonas.org/code_club/2021-06-28-setting-up-project.
If you're interested in taking an upcoming 3 day R workshop, email me at riffomonas@gmail.com!
R: https://r-project.org
RStudio: https://rstudio.com
Raw data: https://github.com/riffomonas/raw_data/releases/latest
Workshops: https://www.mothur.org/wiki/workshops
You can also find complete tutorials for learning R with the tidyverse using...
Microbial ecology data: https://www.riffomonas.org/minimalR/
General data: https://www.riffomonas.org/generalR/
0:00 Introduction
3:59 Creating a repository on GitHub
6:24 Creating an RStudio project from version control
7:18 Getting the data and organizing project
10:53 Working with git from within RStudio
14:45 Why you should follow along and use git
16:56 Recap