RDQA is a package for Qualitative Data Analysis built upon R. It works both on the Windows and Linux/FreeBSD platforms. RQDA is an easy-to-use tool to assist in the analysis of textual data. At the present, it supports only plain text format data. All the information is stored in 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. Besides, it seamlessly integrated with R, which means that a) statistical analysis on the coding is possible, and b) functions about data manipulation and analysis can be easily extended by writing R functions. To some extent, RQDA and R makes an integrated platform for both quantitative and qualitative data analysis.
The current version should be regarded as Release Candidate Version, I will test it preliminary under Chinese Windows OS, but it should work under Linux and FreeBSD. By the GUI, it can: # Import documents from plain text # Support non-English documents, Simplified Chinese Character is well-tested under Windows # Character-level coding using codes # Memos of documents, codes, coding, project, files and more # Retrieval of coding # Single-file (*.rqda) format, which is basically SQLite database. Data are stored in UTF-8, so it should be portable # Facilitator helps to categorize codes,which is key to theory building. I deliberately avoid using tree-like categorization # There is a case category, which is crucial feature to bridge qualitative and quantative research # Search information about selected case from the Internet vis popup menu # Temporary delete files and codes # Rename the files,code, code category, case and others More information can be found in http://rqda.r-forge.r-project.org/ Comments and suggestions are welcome:) -- HUANG Ronggui, Wincent Tel: (00852) 3442 3832 Ph.D. Candidate, CityU of HK Master of sociology, Fudan University, China Bachelor of Social Work, Fudan University, China Personal homepage: http://ronggui.huang.googlepages.com/ _______________________________________________ R-packages mailing list [EMAIL PROTECTED] https://stat.ethz.ch/mailman/listinfo/r-packages ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
