Objectives

Upon completion of this session, you will be able to do the following:

  1. Evaluate data integrity with object summarization functions.
  2. Compute simple statistical summaries on a data set.
  3. Clearly express a sequence of multiple operations using pipes.
  4. Selectively perform operations on groups of interest from the data and visualize basic statistical outputs from those groups.
  5. Learn the data classes used in R programming and explore how to extract, encode, and manipulate the data types.

Lectures

Lecture recording links will be emailed directly to students.

Material

Day Module Lecture Activity Cheatsheets/Guides
Day 4 Data Summarization HTML, PDF, Rmd Lab Rmd, Key, Key HTML Day 4 Cheatsheet
Data Classes HTML, PDF, Rmd Lab Rmd, Key, Key HTML
Homework 2 HW Rmd, HTML, Key, Key HTML

Homework

🚨 SURVEY: Day 4 check-in

📝 HOMEWORK 1: Questions (HTML)

📝 HOMEWORK 2: Questions (Rmd), Questions (HTML)

Drop Boxes

Assignment Drop Boxes

Note: only people taking the course for credit must turn in the assignments. However, we will evaluate all submitted assignments in case others would like feedback on their work.

Library

RStudio cheatsheets

RStudio IDE cheatsheet (PDF)