The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
The inpdfr package allows analysing and comparing PDF and/or TXT documents using both classical text mining tools and those from theoretical ecolgy. In the later, words are considered as species and documents as communities, therefore allowing analysis at the community and metacommunity levels.
Gather some PDF and/or TXT files in a folder. Pointing the working
directory to this folder, inpdfr package will extract the text and
produce a word occurrence data.frame which will be used to analyse and
compare documents. An easy way to start is to use the RGtk2 GUI through
the loadGUI function (only available on the gitHub version,
not on CRAN).
The package uses XPDF (http://www.foolabs.com/xpdf/download.html) for
PDF to text extraction. You need to install XPDF before using
inpdfr package. Depending on your operating system, you may
need to restart your computer after installing XPDF. If you do not want
to use XPDF, you can extract the content of your PDF files with the
method of your choice and then store the content in TXT files. The only
function making use of XPDF is getPDF which can be
substituted with the getTXT function.
install.packages(“inpdfr”)
The inpdfr package provides three cathegories of functions: - functions to extract and process text into a word-occurrence data.frame, - functions to analyse the word-occurrence data.frame with standard and ecological tools, and - functions to use inpdfr through a GTk2 Graphical User Interface. Further instructions and a complete example are provided in vignette.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.