RQDA icon
RQDA icon

RQDA

 14 likes

RDQA is a R package for Qualitative Data Analysis, a free (free as freedom) qualitative analysis software application (BSD license). It works on Windows, Linux/FreeBSD and (probably) the Mac OSX platforms. RQDA is an easy to use tool to assist in the analysis of textual data.

RQDA

License model

  • FreeOpen Source

Country of Origin

  • CN flagChina

Platforms

  • Mac
  • Windows
  • Linux
  • BSD
1 / 5 Avg rating (1)
14likes
1comment
0news articles

Features

Suggest and vote on features
  1.  Automatic Tagging
  2.  Qualitative Data Analysis
  3.  Content analysis
  4.  Offline coding

 Tags

  • caqdas
  • nvivo

RQDA News & Activities

Highlights All activities

Recent activities

Show all activities

RQDA information

  • Developed by

    CN flagHUANG RongguI
  • Licensing

    Open Source and Free product.
  • Alternatives

    20 alternatives listed
  • Supported Languages

    • English

Our users have written 1 comments and reviews about RQDA, and it has gotten 14 likes

RQDA was added to AlternativeTo by rqda on Mar 25, 2012 and this page was last updated May 8, 2020.

Comments and Reviews

   
 Post comment/review
Top Negative Comment
grokkar
Dec 9, 2020
0

This software is currently archived. There are no reliable instructions to install the archive that worked for me.

What is RQDA?

RDQA is a R package for Qualitative Data Analysis, a free (free as freedom) qualitative analysis software application (BSD license). It works on Windows, Linux/FreeBSD and (probably) the Mac OSX platforms. RQDA is an easy to use tool to assist in the analysis of textual data. At the moment it only supports plain text formatted data. All the information is stored in a SQLite database via the R package of RSQLite. The GUI is based on RGtk2, via the aid of gWidgetsRGtk2. It includes a number of standard Computer-Aided Qualitative Data Analysis features. In addition it seamlessly integrates with R, which means that a) statistical analysis on the coding is possible, and b) functions for data manipulation and analysis can be easily extended by writing R functions. To some extent, RQDA and R make an integrated platform for both quantitative and qualitative data analysis.