Provides data sets for teaching statistics and data science courses. It includes a sample of data from John Edmund Kerrich's famous coinflip experiment. These are data that I use for teaching SOC 4015 / SOC 5050 at Saint Louis University (SLU). The package also contains an R Markdown template with the required formatting for assignments in my courses SOC 4015, SOC 4650, SOC 5050, and SOC 5650 at SLU.
The goal of
testDriveR is to provide data sets for teaching statistics
and data science courses. This package includes a sample of data from
John Edmund Kerrich’s famous coinflip experiment. These are data that I
use for teaching SOC 4015 / SOC 5050 at
Saint Louis University.
The package now includes an R Markdown template for completing assignments. This is the required format for authoring R Markdown documents in my courses SOC 4015 / SOC 5050 and SOC 4650 / SOC 5650 at Saint Louis University. A quick overview is included below.
The easiest way to get
testDriveR is to install it from CRAN:
You can also install the development version of
The package currently contains five data tables:
auto17- A data set containing model year 2017 vehicles for sale in the United States
childMortality- A data set containing childhood mortality time series data by country from UNICEF
gss14- A data set containing a selection of variables related to work and education from the 2014 General Social Survey
gss14_simple- A simple version of
gss14without factors created and without missing data explicitly declared
kerrich- A data set containing 2000 trials of coin flips by John Edmund Kerrich
Once loaded, the data contained in
testDriveR can be loaded into data
frames in your global environment and then explored. For example, to
library("testDriveR")autoData <- auto17str(autoData)
If you are interested in the original data/code used to create the included data, you can find them at:
auto17is documented in Chris’s
childMortalityis documented in Chris’s
gss14_simpleare documented in Chris’s
kerrichis documented in the
The package also includes a template that my students use for getting
R based assignments. It can be accessed from within
RStudio by going to
File > New File > R Markdown... and then selecting
SLU Sociology Assignments under
The template includes
YAML for generating both
output, a pre-formatted date that updates each time the document is
knit, and initial code blocks for loading dependencies and data.
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.
NEWS.mdfile to track changes to the package.