qdap: Bridging the Gap Between Qualitative Data and Quantitative Analysis

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:	2.4.6.1
Depends:	R (≥ 3.1.0), qdapDictionaries (≥ 1.0.2), qdapRegex (≥ 0.1.2), qdapTools (≥ 1.3.1), RColorBrewer
Imports:	chron, dplyr (≥ 0.3), gender (≥ 0.5.1), ggplot2 (≥ 2.1.0), grid, gridExtra, igraph, methods, NLP, openNLP (≥ 0.2-1), openxlsx, parallel, plotrix, RCurl, reshape2, scales, stringdist, tidyr, tm (≥ 0.7.6), tools, utils, venneuler, wordcloud, XML
Suggests:	koRpus, knitr, lda, proxy, stringi, SnowballC, testthat
Published:	2025-12-04
DOI:	10.32614/CRAN.package.qdap
Author:	Tyler Rinker [aut, cre], Bryan Goodrich [ctb], Dason Kurkiewicz [ctb]
Maintainer:	Tyler Rinker <tyler.rinker at gmail.com>
BugReports:	https://github.com/trinker/qdap/issues
License:	GPL-2
URL:	https://trinker.github.io/qdap/
NeedsCompilation:	no
Citation:	qdap citation info
Materials:	README
In views:	NaturalLanguageProcessing
CRAN checks:	qdap results

Documentation:

Reference manual:

qdap.html , qdap.pdf

Downloads:

Package source:	qdap_2.4.6.1.tar.gz
Windows binaries:	r-devel: qdap_2.4.6.1.zip, r-release: qdap_2.4.6.1.zip, r-oldrel: qdap_2.4.6.1.zip
macOS binaries:	r-release (arm64): qdap_2.4.6.1.tgz, r-oldrel (arm64): qdap_2.4.6.1.tgz, r-release (x86_64): qdap_2.4.6.1.tgz, r-oldrel (x86_64): qdap_2.4.6.1.tgz
Old sources:	qdap archive

Reverse dependencies:

Reverse imports:

disclosuR, NLPutils, WhatsR

Linking:

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