stylo: R package for stylometric analyses
Authors: Maciej Eder*, Mike Kestemont, Jan Rybicki, Steffen Pielström
This package provides a number of functions, supplemented by a GUI, to perform various analyses in the field of computational stylistics, authorship attribution, etc.
If you find the package
stylo useful and plan to publish your results, please consider citing the following paper:
Eder, M., Rybicki, J. and Kestemont, M. (2016). Stylometry with R: a package for computational text analysis. R Journal, 8(1): 107-21. https://journal.r-project.org/archive/2016/RJ-2016-007/index.html
There are four ways of installing
- from CRAN repository
- from the GitHub repository, via the package
- from a locally downloaded file
- building the package directly from source files
1. Installing from CRAN repository
This is the simplest way to install
stylo (as well as any other R package). Launch R, make sure you are connected to the internet, type:
choose your favorite CRAN mirror (a window will usually pop up), click OK.
If you are a MacOS user, please have a look below, at the Installation issues section.
2. Installing from the GitHub repository
A convenient way to install R packages directly from the GitHub repository is to use the package
devtools. Unless you have already installed it, you should do it now:
Then, install the package
The remarks about possible issues on MacOS apply are valid also in this case.
3. Installing from a local file
This is an option for more advanced users. You need to obtain a so-called tarball file, which is a compressed version of the package (you can grab it from CRAN). It might be named
stylo_0.6.9.tar.gz, depending of the current version of course. Then type in R console:
setwd("I/hope/I/can/remember/where/I/have/put/the/zipfile/") install.packages("stylo_0.7.1.tar.gz", repos = NULL, type = "source")
4. Building a package from source files
This is something for real geeks. Clone this very repository, unpack it, and type the following lines at the command prompt:
R CMD build stylo R CMD INSTALL stylo
NOTE (Mac OS users): the package
stylo requires X11 support being installed. To quote "R for Mac OS X FAQ" (http://cran.r-project.org/bin/macosx/RMacOSX-FAQ.html): “Each binary distribution of R available through CRAN is build to use the X11 implementation of Tcl/Tk. Of course a X windows server has to be started first: this should happen automatically on OS X, provided it has been installed (it needs a separate install on Mountain Lion or later). The first time things are done in the X server there can be a long delay whilst a font cache is constructed; starting the server can take several seconds.”
You might also run into encoding errors when you start up R (e.g. “WARNING: You're using a non-UTF8 locale” etc.). In that case, you should close R, open a new window in Applications > Terminal and execute the following line:
defaults write org.R-project.R force.LANG en_US.UTF-8
Next, close the Terminal and start up R again.
ANOTHER NOTE A slightly different workaround of the above problem (Mac users again):
- Install XQuartz, restart Mac
- Open Terminal, type:
sudo ln -s /opt/X11 /usr/X11
- Run XQuartz
- Run R, type:
system('defaults write org.R-project.R force.LANG en_US.UTF-8')
YET ANOTHER NOTE On MacOS Mojave one usually faces the problem of not properly recognized tcltk support. Open your terminal and type the following command:
This will download and install xcode developer tools and fix the problem. The problem is that one needs to explicitly agree to the license agreement.
This section is meant to give the users a general outline of what the package can do, rather than providing a comprehensive description of designing a stylometric test using the R package
stylo. Refer to the following documents:
- for (real) beginners: a crush introduction in the form of a slideshow
- for (sort of) beginners: a concise HOWTO
- for advanced users: a paper in R Journal
- full documentation at CRAN
Docs on non-obvious functionalities
- Authorship verification with the package 'stylo'
- Cross-validation using the function
- Custom distance measures
- Testing rolling stylometry
- Using ‘Stylo’ with languages other than English
Other relevant resources
Despite a black legend, R and Python are not necessarily in a deadly clash: here is a great post by José Calvo Tello on invoking the package
stylodirectly from Python!
Using the package
stylowith the TXM environment: see this post by Serge Heiden.
Probably not a bad idea to check a comprehensive Stylometry Bibliography curated by Christof Schöch, before starting an experiment in text analysis.
stylohas been created as a by-product of a few projects conducted by the Computational Stylistics Group. See this website for further details. An older version of the webpage is also there, even if it has not been be updated for a while.