Installing R and R-Studio Mac Users To Install R. Open an internet browser and go to www.r-project.org. Click the 'download R' link in the middle of the page under 'Getting Started.' Select a CRAN location (a mirror site) and click the corresponding link. Click on the 'Download R for (Mac) OS X' link at the top of the page. Download R for (Mac) OS X; Download R for Windows; R is part of many Linux distributions, you should check with your Linux package management system in addition to the link above. Source Code for all Platforms Windows and Mac users most likely want to download the precompiled binaries listed in the upper box, not the source code.
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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 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.
Through the GUI, RQDA can:
Through R functions, it can:
You can use help(package='RQDA') to see more functions of the RQDA package.
For non-R-users who use Windows, you can download a rar file from Baidu Yun Pan, extract it to, say, c:. Then you can launch the RQDA by double clicking the RQDA.bat file. This instruction has been tested on OS X EI Capitan (2016/06/23).
Old instruction for Yosemite users.
User contributed documentation
I have put a lot of effort in this project. I appreciate if you can cite this software in your research. You can use citation('RQDA') to get this citation.
HUANG Ronggui (2016). RQDA: R-based Qualitative Data Analysis. R package version 0.2-8. http://rqda.r-forge.r-project.org/
RQDA 0.2-8 is released on CRAN (2016-12-12). The most important changes include profile matrix (Kuckartz, 2014) and Portuguese translation, among others. Unfortunately, this release is not compatible with RSQLite 1.1.0, which means that you need to downgrade RSQLite to 1.0.0 to make RQDA works properly. This problem will be fixed in development version on GitHub.
RQDA 0.2-5 is released on CRAN (2014-03-26). This update is in compliance with CRAN policies, but has no significant new features. JRE is required to used rjpod enhancement.
RQDA 0.2-3 is released with several new features (2012-12-12).
rmmseg4j 0.1-0 is released to CRAN (2012-06-18)
RQDA 0.2-2 is now on CRAN (2011-12-27)
Two new packages (rsmartcn, rmmseg4j) have been added, which segment Simplified Chinese into words seperated by space.
Cran Project Org
RQDA 0.2-1 is now on CRAN (2011-09-10)
RQDA 0.2-0 is now on CRAN (2010-10-20)
RQDAtm 0.1-0 works now. It bridges RQDA and tm (rev 313) (2010-04-26).
RQDA 0.1-9 is now on CRAN (2010-02-28). There is a bug, and the solution is here.
RQDA 0.1-8 is now on CRAN (2009-09-20)
RQDA 0.1-7 is now on CRAN (2009-04-28)
RQDA 0.1-6 is now on CRAN (2008-12-30)
RQDA has been actively developed. You can click here to see the new features. There are few known-bugs, click KnownBugs for details.
Main windows under Vista and under Debian Linux
Reading File
File Memo
File Categories window under Vista and Debian Linux
Codes list window under Vista and under Debian Linux
Code Categories window under Vista and Debian Linux
Coding
Retrieval
Cases window under XP and under Debian Linux
Attributes window under Debian Linux
Journals window under Debian Linux
Settings window under XPand under Debian Linux
To Install R
- Open an internet browser and go to www.r-project.org.
- Click the 'download R' link in the middle of the page under 'Getting Started.'
- Select a CRAN location (a mirror site) and click the corresponding link.
- Click on the 'Download R for (Mac) OS X' link at the top of the page.
- Click on the file containing the latest version of R under 'Files.'
- Save the .pkg file, double-click it to open, and follow the installation instructions.
- Now that R is installed, you need to download and install RStudio.
To Install RStudio
- Go to www.rstudio.com and click on the 'Download RStudio' button.
- Click on 'Download RStudio Desktop.'
- Click on the version recommended for your system, or the latest Mac version, save the .dmg file on your computer, double-click it to open, and then drag and drop it to your applications folder.
To Install the SDSFoundations Package
Cran R Download
- Download SDSFoundations to your desktop (make sure it has the '.tgz' extension).
- Open RStudio.
- Click on the Packages tab in the bottom right window.
- Click 'Install.'
- Select install from 'Package Archive File.'
- Select the SDSFoundations package file from your desktop.
- Click install. You are done! You can now delete the SDSpackage file from your desktop.
To Install R:
- Open an internet browser and go to www.r-project.org.
- Click the 'download R' link in the middle of the page under 'Getting Started.'
- Select a CRAN location (a mirror site) and click the corresponding link.
- Click on the 'Download R for Windows' link at the top of the page.
- Click on the 'install R for the first time' link at the top of the page.
- Click 'Download R for Windows' and save the executable file somewhere on your computer. Run the .exe file and follow the installation instructions.
- Now that R is installed, you need to download and install RStudio.
To Install RStudio
- Go to www.rstudio.com and click on the 'Download RStudio' button.
- Click on 'Download RStudio Desktop.'
- Click on the version recommended for your system, or the latest Windows version, and save the executable file. Run the .exe file and follow the installation instructions.
To Install the SDSFoundations Package
- Download SDSFoundationsto your desktop (make sure it has the '.zip' extension).
- Open RStudio.
- Click on the Packages tab in the bottom right window.
- Click 'Install.'
- Select install from 'Package Archive File.'
- Select the SDSFoundations package file from your desktop.
- Click install. You are done! You can now delete the SDSpackage file from your desktop.