We’re very pleased to announce the release of qdap 2.1.1
What is qdap?
qdap (Quantitative Discourse Analysis Package) is an R package designed to assist in quantitative discourse analysis. The package stands as a bridge between qualitative transcripts of dialogue and statistical analysis & visualization. qdap is designed for transcript analysis, however, many functions are applicable to other areas of Text Mining/Natural Language Processing.
qdap Version 2.1.1
This is the latest installment of the qdap package available at CRAN. Several important updates have occurred since we last blogged about the 1.3.1 release (demoing Version 1.3.1), most notable:
- Text checking that simplifies and standardizes (includes spell checking and a Cleaning Text & Debugging Vignette
- Added many plot methods including animated and network plotting
- Improved tm package compatibility
- The Introduction to qdap .Rmd vignette has been moved to an internal directory to save CRAN space and time checking the package source. The user may use the
build_qdap_vignette
function directly to build the vignette qdap
officially begins utilizing thetestthat
package for unit testingqdapTools
splits off ofqdap
with non-text specific tools- New text analysis and processing functions
Installation
install.packages("qdap")
Changes up to qdap Version 2.1.1
A complete list of changes since Version 1.3.1 can be found in the NEWS.md found HERE
Future Focus
As the focus of my own research and dissertation has moved toward the graphical analysis of discourse, qdap
will reflect this shift. We plan to demonstrate some of the features of qdap
that have been added since our last blog article (demoing Version 1.3.1) via a series of small blog articles over the next month.
*Created using the reports package
Thank you very much for making this package available. I wonder if it would help blog readers, though, if there was a short sentence at the top of the announcement saying what the package does. This isn’t evident from the announcement and readers would need to click on one of the links hoping to find out more about the package. Just an idea. Thanks again.
@Andrew Ward: Great suggestion. Thanks for the feedback. I added a small explanation.
Perfect – thanks for adding such a helpful description so quickly!
Word to wise: when you announce a package update to the world and broadcast on multiple blogs, it might be a good idea to define the general purpose of your package. Update details mean little without context.
Point taken. Andrew Ward comment the same and I have modified, though I don’t think the R-Bloggers version will reflect this update. I will certainly not make this mistake again.