Package: DedooseR 2.0.0.2

Abiraahmi Shankar

DedooseR: Monitoring and Analyzing Dedoose Qualitative Data Exports

Streamlines analysis of qualitative data exported from 'Dedoose' <https://www.dedoose.com>. Supports monitoring thematic saturation, calculating code frequencies, organizing excerpts, generating dynamic codebooks, and producing code network maps within 'R'.

Authors:Abiraahmi Shankar [aut, cre], Catalina Cañizares [aut], Francisco Cardozo [aut], Sabrina Stockmans [aut], Pamela Morris-Perez [aut]

DedooseR_2.0.0.2.tar.gz
DedooseR_2.0.0.2.zip(r-4.7-any)DedooseR_2.0.0.2.zip(r-4.6-any)DedooseR_2.0.0.2.zip(r-4.5-any)
DedooseR_2.0.0.2.tgz(r-4.6-any)DedooseR_2.0.0.2.tgz(r-4.5-any)
DedooseR_2.0.0.2.tar.gz(r-4.7-any)DedooseR_2.0.0.2.tar.gz(r-4.6-any)
DedooseR_2.0.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
DedooseR/json (API)

# Install 'DedooseR' in R:
install.packages('DedooseR', repos = c('https://abiraahmi.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/abiraahmi/dedooser/issues

Pkgdown/docs site:https://abiraahmi.github.io

On CRAN:

Conda:

5.20 score 412 downloads 8 exports 98 dependencies

Last updated from:534408f254. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK169
source / vignettesOK218
linux-releaseOK168
macos-releaseOK241
macos-oldrelOK187
windows-develOK122
windows-releaseOK122
windows-oldrelOK125
wasm-releaseOK152

Exports:clean_datacompare_saturationcooccurcreate_code_summaryrecode_themesset_saturationview_excerptswordcloud

Dependencies:base64encbitbit64bslibcachemclicliprcpp11crayoncrosstalkdigestdplyrDTevaluatefarverfastmapfontawesomeforcatsfsgenericsggforceggplot2ggraphggrepelgluegraphlayoutsgridExtragtablehavenhighrhmshtmltoolshtmlwidgetsigraphisobandjaneaustenrjquerylibjsonlitekableExtraknitrlabelinglabelledlaterlatticelazyevallifecyclemagrittrMASSMatrixmemoisemimeopenxlsxotelpillarpkgconfigpolyclipprettyunitsprogresspromisespurrrR6rappdirsRColorBrewerRcppRcppArmadilloreadrrlangrmarkdownrstudioapiS7sassscalesSnowballCstringistringrsvglitesystemfontstextshapingtibbletidygraphtidyrtidyselecttidytexttinytextokenizerstweenrtzdbutf8vctrsviridisviridisLitevroomwithrwordcloud2xfunxml2yamlzip

Assessing Code Saturation
Rendered fromAssessing_Code_Saturation.Rmdusingknitr::rmarkdown

Last update: 2025-12-11
Started: 2025-10-16

Cleaning, Merging, and Exploring Qualitative Data
1. Clean excerpts with clean_data() | 2. Recode related codes with recode_themes() | 3. Explore excerpts with view_excerpts()
Rendered fromIntro_to_DedooseR.Rmdusingknitr::rmarkdown

Last update: 2025-11-04
Started: 2025-10-04

Cooccurence
2. Generate a count matrix and network
Rendered fromCooccurence.Rmdusingknitr::rmarkdown

Last update: 2025-11-04
Started: 2025-10-16

Summarizing Codes
2. Cook up a word cloud with wordcloud()
Rendered fromSummarizing_Codes.Rmdusingknitr::rmarkdown

Last update: 2025-11-04
Started: 2025-10-16