qdap 0.2.0 released

February 2, 2013

(This article was first published on TRinker's R Blog » R, and kindly contributed to R-bloggers)

This is the first CRAN release of qdap (qdap 0.2.0) found here.  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 and visualization.

The qdap package automates many of the tasks associated with quantitative discourse analysis of transcripts containing discourse, including frequency counts of sentence types, words, sentence, turns of talk, syllable counts and other assorted analysis tasks. The package provides parsing tools for preparing transcript data. Many functions enable the user to aggregate data by any number of grouping variables, providing analysis and seamless integration with other R packages that undertake higher level analysis and visualization of text. This provides the user with a more efficient and targeted analysis.

qdap’s development version can be found here.

As qdap is further developed the following tasks are planned: (a) a github hosted website via staticdocs (b) a help video section and (c) a vignette detailing workflow and use of qdap.

If you spot bugs or would like to request features please use qdap’s github site.

Special thanks to Dason of talkstats.com for his patience in teaching and mentoring me through the package creation process.

Also thank you to Hadley Wickham for his great package development tools and documentation of the process.

To leave a comment for the author, please follow the link and comment on their blog: TRinker's R Blog » R.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.


Mango solutions

RStudio homepage

Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training



CRC R books series

Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)