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
used for teaching SOC 4015 / SOC 5050
at Saint Louis University.
The package also includes an R Markdown template for completing assignments. This was 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:
install.packages("testDriveR")
You can also install the development version of testDriveR
from
Github with remotes
:
remotes::install_github("chris-prener/testDriveR")
The package currently contains five data tables:
auto17
- A data set containing model year 2017 vehicles for sale
in the United StateschildMortality
- A data set containing childhood mortality time
series data by country from UNICEFgss14
- A data set containing a selection of variables related to
work and education from the 2014 General Social Surveygss14_simple
- A simple version of gss14
without factors created
and without missing data explicitly declaredkerrich
- A data set containing 2000 trials of coin flips by John
Edmund KerrichOnce loaded, the data contained in testDriveR
can be loaded into data
frames in your global environment and then explored. For example, to
load the auto17
data:
library("testDriveR")
autoData <- auto17
str(autoData)
If you are interested in the original data/code used to create the included data, you can find them at:
auto17
is documented in Chris’s autoData
repositorychildMortality
is documented in Chris’s childMortality
repositorygss14
and gss14_simple
are documented in Chris’s gss14
repositorykerrich
is documented in the extdata
directoryThe package also includes a template that my students use for getting
started with 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 Template
:
The template includes YAML
for generating both .nb.html
and .md
output, a pre-formatted date that updates each time the document is
knit, and initial code blocks for loading dependencies and data.
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