qdap: Bridging the Gap Between Qualitative Data and Quantitative Analysis

qdap automates many of the tasks associated with quantitative discourse analysis of transcripts containing discourse including frequency counts of sentence types, words, sentences, turns of talk, syllables 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 affords the user a more efficient and targeted analysis. qdap is designed for transcript analysis, however, many functions are applicable to other areas of Text Mining/Natural Language Processing.

Version: 2.2.0
Depends: R (≥ 3.1.0), ggplot2 (≥ 0.9.3.1), qdapDictionaries (≥ 1.0.2), qdapRegex (≥ 0.1.2), qdapTools (≥ 1.0.3), RColorBrewer
Imports: chron, dplyr (≥ 0.3), gdata, gender (≥ 0.4.1), grid, gridExtra, igraph, NLP, openNLP (≥ 0.2-1), parallel, plotrix, RCurl, reports, reshape2, scales, stringdist, tm (≥ 0.6), tools, venneuler, wordcloud, xlsx, XML
Suggests: koRpus, knitr, lda, proxy, stringi, SnowballC, testthat
Published: 2014-10-04
Author: Bryan Goodrich [ctb], Dason Kurkiewicz [ctb], Tyler Rinker [aut, cre]
Maintainer: Tyler Rinker <tyler.rinker at gmail.com>
BugReports: http://github.com/trinker/qdap/issues
License: GPL-2
URL: http://trinker.github.com/qdap/
NeedsCompilation: no
Citation: qdap citation info
Materials: README NEWS
In views: NaturalLanguageProcessing
CRAN checks: qdap results

Downloads:

Reference manual: qdap.pdf
Vignettes: Cleaning Text & Debugging
An Introduction to qdap
qdap-tm Package Compatibility
Package source: qdap_2.2.0.tar.gz
Windows binaries: r-devel: qdap_2.2.0.zip, r-release: qdap_2.2.0.zip, r-oldrel: qdap_2.0.0.zip
OS X Snow Leopard binaries: r-release: qdap_2.2.0.tgz, r-oldrel: qdap_2.0.0.tgz
OS X Mavericks binaries: r-release: qdap_2.2.0.tgz
Old sources: qdap archive

Reverse dependencies:

Reverse imports: NLPutils
Reverse suggests: qdapDictionaries