You need to download and install the latest version of the following software. If you already have recent versions of R, RStudio and LaTeX (optional) installed, you can skip ahead to the section on installing the MCTestAnalysis library.
Using the MCTestAnalysis package does not require any R programming. If you are interested in learning to program in R, RStudio have collated some excellent resources for Learning R Programming on their webpage.
Click the “Download R for …” link for your OS (Linux, Mac, Windows)
Click the link for the base distribution. This package was built and tested on R 3.3.2, although both this package and R may have been updated.
RStudio is an IDE (an application that supports the development and use of a language) for R. The MCTestAnalysis package is best used from within RStudio, but the user only needs to be able to find the Console window to run the few commands described below.
For a quick introduction and reference for the RStudio IDE, RStudio publishes an up-to-date RStudio cheatsheet. The RStudio Essentials Webinar Series is also a good place to start learning about the RStudio IDE.
Choose the appropriate installer for your OS under the Installers for Supported Platforms heading.
LaTeX is required in order to create PDF reports. The package will fall back on HTML reports if
pdflatex is not installed. The HTML version of the report works well on screens but does not print nicely.
If you’d like to output the report as well-behaved, nicely-printing PDF, a LaTeX distribution is required.
sudo apt-get install texlive-core.
sudo apt-get install texlive-fonts-recommended texlive-latex-recommended.
sudo apt-get install texlive-latex-extra.
On Windows, the current version of
devtools doesn’t correctly install all package dependencies, so they need to be installed manually before installing the MCTestAnalysis package.
Copy and paste the following command into the RStudio console or the R command line to install the MCTestAnalysis package dependencies.
install.packages(c("devtools", "dplyr", "ggplot2", "shiny", "miniUI", "ltm", "psych", "psychometric", "reshape2", "tibble", "DT", "rmarkdown", "backports", "pander", "gridExtra", "survival"))
Then run the following to complete the installation of the MCTestAnalysis package.
library(MCTestAnalysis) # Launch test exploration interface explore() # Create a test analysis report report()
explore() a browser window will open with the MC Test Analysis exploration application. The
report() function will launch a window within RStudio to guide the user through the creation of a PDF report.
This package requires both an Answer Key and a table of student responses. An example of each table is provided, in the preferred format, in the
inst/extdata folder of this repo, or from links on the “Import” tab of the
A detailed overview of the required data format is available at http://www.eng.usf.edu/~kaw/MCTestAnalysis/MCTestAnalysis_input.pdf. Additional example test results and answer key CSV files are also available.