R Stats Bootcamp

Overview

Ed Harris

R Stats bootcamp


https://rstats-bootcamp.github.io/website/

What is the R Stats Bootcamp about?


Modern tools for thinking about data :: evidence :: claims

Traditional Bootcamp


Difficult, unfriendly, weed out the weak

R Stats Bootcamp


Work hard, do something good, help everyone succeed

Purpose of R Stats Bootcamp


Provide a self-guided resource to:

  • Learn or refresh skills in R scripting, basic statistics

  • Boost success in statistics for assessment, collaboration

  • Be accessible with no prior knowledge


Who is the R Stats Bootcamp for?


  • Students in applied sciences

  • Aspiring data scientists

  • Academic colleagues who wish to learn R

  • Postgraduate researchers

  • Other interesting people (who want to learn from data)


What will you learn


  • R scripting basics

  • Basic statistics review (just enough…)

  • Reproducible research best practice

  • Tidy data principles

R Stats Bootcamp organization


https://rstats-bootcamp.github.io/website/


  • Module 1 Introduction to R scripting and the RStudio interface for beginners

  • Module 2 Introduction to using R for simple data analysis

  • Module 3 Introduction to reproducible code, R Markdown, and Github

R Stats Bootcamp organization


Module 1: R

1 Setup & intro

2 R language

3 R Functions

4 Data objects

5 Data frames

6 Data subsetting

R Stats Bootcamp organization


Module 2: Stats

7 Explore data

8 Distributions

9 Correlation

10 Regression

11 T-test

12 ANOVA

R Stats Bootcamp organization


Module 3: reproducibility, collaboration

13 Reproducible coding

14 Reports automation

15 Git and version control

Coding


It is important to type and run code to practice