Computing Labs
Descriptions of R Computing Labs for Intro Stats
These computing labs are largely derived from the computing labs of OpenIntro Statistics.
1. Interactive (Shiny) Computing Labs
These computing labs use tools from the R package learnr to engage students in interactive coding examples and exercises. Below we provide the link to the Shiny application hosting each computing lab as well as the rmd source files that can be downloaded and customized.
Lab 1 - Intro to R - Shiny Link
Lab 2 - Exploratory Data Analysis Part 1 - Shiny Link
Lab 2 - Exploratory Data Analysis Part 1 Source
Lab 3 - Exploratory Data Analysis Part 2 - Shiny Link
Lab 3 - Exploratory Data Analysis Part 2 - Source
Lab 4 - Probability Distributions - Shiny Link
Lab 4 - Probability Distributions - Source
Lab 5 - Sampling istributions - Shiny Link
Lab 5 - Sampling istributions - Source
Lab 6 - Confidence intervals - Shiny Link
Lab 6 - Confidence intervals - Source
Lab 7 - Inference for categorical data - Part 1 - Shiny Link
Lab 7 - Inference for categorical data - Part 1 - Source
Lab 8 - Inference for categorical data - Part 2 - Shiny Link
Lab 8 - Inference for categorical data - Part 2 - Source
Lab 9 - Inference for numerical data - Shiny Link
Lab 9 - Inference for numerical data - Source
2. Static (HTML) Comouting Labs
Similar to the interactive labs, these computing labs guide students through R coding examples followed by several exercises for them to practice coding. Unlike the above interactive labs, the below labs are in the form of static HTML files that require students to type and run their codes in an R script or markdown file. The lab source files can be downloaded and customized.
Lab 2 - Exploratory Data Analysis Part 1
Lab 3 - Exploratory Data Analysis Part 2
Lab 6 - Sampling distributions
Lab 8 - Inference for categorical data