PSYC166
Home
Syllabus
Modules
Project
Slides
R, RStudio, & R Markdown
Git and GitHub
Functions, Parameters, and Arguments
Vectors and Data Frames
Importing and Exporting Data
Variables, Measures of Cognition
Manipulating Data: Selecting, Filtering, & Mutating
Cognitive Task Data
Grouping and Summarizing Data
Grouping and Summarizing Data (Advanced)
Summarizing Task Data
Transforming Data: Pivoting
Joining Data
Visualizing Data
Examining Relationships
Strings, Factors, and Regular Expressions
Discussing Models for Cognitive Tasks
Linear Models
Exploratory Data Analysis
HW
HW 01
HW 02
HW 03
HW 04
HW 05
HW 06
HW 07
HW 08
HW 09
HW 10
Exercises
using_git_with_projects_exercise.docx
functions_exercise.docx
vectors_and_dataframes_exercise.docx
importing_and_exporting_exercise.docx
transforming_exercise.docx
summarizing_exercise.docx
visualizing_exercise.docx
pivoting_exercise.docx
strings_and_factors_exercise.docx
joining_exercise.docx
linear_models_exercise.docx
eda_exercise.docx
Data
cms-top-all-time-2023-swim.xlsx
Fun Tidy Tuesday Data Sets
Defense Casualty Analysis System (DCAS)
Cheatsheets
Symbols
RMarkdown
Data Wrangling with {dplyr} and {tidyr}
Quarto (Publish and Share)
String Manipulation with {stringr}
Reading and Writing Data with {readr}
Data Science with RWorkflow
More Cheatsheets From RStudio
Quarto Cheat Sheet (what Quarto Files Look Like)
Other Tools
Me
On this page
Websites
Practice Coding in R on Posit Cloud
Books
Tools for Foundations of Data Science
Websites
Practice Coding in R on Posit Cloud
https://posit.cloud/learn/primers/
Books
Lots of alternative books
https://www.bigbookofr.com/data-visualization.html