#Tams analyzer download mac osx#

I deliberately avoid using tree-like categorization Organize codes into code categories, which is key to theory building.Data are stored in UTF-8, so it should be portable Single-file (*.rqda) format, which is basically a SQLite database.Conditional retrieval is supported as well. Retrieval of coding, and easily return to the original file (to ease the problem of segmentation).Memos of documents, codes, coding, project, files and more.Simplified Chinese Character is well-tested under Windows as well as Debian Linux (with locale of zh_CN.UTF-8) Import PDF highlights which is useful for content management of literature (reliant on rjpod).Import documents from plain text or on-the-fly.To some extent, RQDA and R make an integrated platform for both quantitative and qualitative data analysis. 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. It includes a number of standard Computer-Aided Qualitative Data Analysis features. The GUI is based on RGtk2, via the aid of gWidgetsRGtk2. All the information is stored in a SQLite database via the R package of RSQLite. At the moment it only supports plain text formatted data.

RQDA is an easy to use tool to assist in the analysis of textual data.

#Tams analyzer download mac osx#

It works on Windows, Linux/ FreeBSD and Mac OSX platforms. RDQA is a R package for Qualitative Data Analysis, a free (free as freedom) qualitative analysis software application ( BSD license). Welcome to RQDA Project What is RQDA and what are its features?