This is an R package which deploys interactive notebooks to accompany an introductory course in applied statistics. The notebooks follow the freely available OpenIntro Statistics (4Ed) textbook and supplementary resources.
You can install this package by running the following command in R (which requires the devtools package as a prerequisite): remotes::install_github("amhmath/AppliedStatsInteractive")
I've updated the package to include functionality from Colin Rundel's learnrhash package. This allows students to generate a hash code, which encodes their completed notebook -- students can then paste this hash code into a web-form (such as Google Forms) and then the instructor can reproduce and assess the student's work using learnrhash and the student's hash code. See more about this functionality from the learnrhash repo. Some users will need to install learnrhash manually in order for the notebooks to run -- you can do this with remotes::install_github("rundel/learnrhash"). I am working on a fix for this issue.
Once the package has been installed you can run the individual notebooks by navigating to the Tutorials tab in RStudio's top-right pane. You'll just need to click the Start Tutorial? button to render and work through the corresponding interactive notebook. If you get an error stating that learnrhash must be installed, you can install it manually using remotes::install_github("rundel/learnrhash") -- R will report an error saying that learnrhash is not available for your version of R if you allow R to try installing the package on its own. If you prefer to run the tutorials from a web browser rather than RStudio's Tutorials pane, you can access the tutorials using commands of the following structure: learnr::run_tutorial(NOTEBOOK_NAME, package = "AppliedStatsInteractive")
The available notebooks are as follows:
- 00_StartHere
- 01_IntroToData
- 02_IntroToR
- 03_DescriptiveNumCat
- 04_DataViz
- 05_DiscreteDistributions
- 06_NormalDistribution
- 07_DiscreteDistributionsLab
- 08_NormalDistributionLab
- 09_FoundationsForInference
- 10_IntroInferenceLab
- 11_HTandCIprop
- 12_InferencePractice
- 13_InferenceCategoricalLab
- 14_ChiSquare
- 15_HTandCInum
- 16_InferencePractice
- 17_InferenceNumericalLab
- 18_ANOVA
- 19_LinearRegression
The notebook named 04_DataViz is an adaptation of the data visualization chapter from Hadley Wickham and Garrett Grolemund's R for Data Science.
(Note: This is a non-issue if running workbooks from the tutorials pane). Multiple calls to learnr::run_tutorial() in a single R session cause rendering errors in the notebooks -- exercises are not rendered correctly. This can be avoided by either restarting R Ctrl+Shift+F10 or by closing RStudio and re-opening before rendering a second workbook. If you already attempted to render the notebook and experiences the rendering error, you should use your file manager to navigate to the folder containing the workbook and delete the associated html file. You can identify the location of the files on your machine by running find.package("AppliedStatsInteractive"). Calling learnr::run_tutorial() now will re-build the html file. I will update this section when a better workaround is discovered.