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#MAXQDA DOWNLOAD KOSTENLOS MAC OSX#
#MAXQDA DOWNLOAD KOSTENLOS PDF#
#MAXQDA DOWNLOAD KOSTENLOS INSTALL#
#MAXQDA DOWNLOAD KOSTENLOS RAR#
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#MAXQDA DOWNLOAD KOSTENLOS INSTALL#

Install GTK+: go to, download and install the binary package of GTK+ 2.24.17.

Install X11: go to, download and install XQuartz-2.7.7.

This instruction has been tested on OS X EI Capitan (3). Then you can launch the RQDA by double clicking the RQDA.bat file.

#MAXQDA DOWNLOAD KOSTENLOS RAR#

Then you can see the RQDA GUI.įor Debian Linux users, there is a apt repositories, you can follow the guidelines there.>įor non-R-users who use Windows, you can download a rar file from Baidu Yun Pan, extract it to, say, c:\.

Step five, Launch RQDA using command library(RQDA) from within R.

If you want to use the developer version of RQDA, you can use this command after you have installed RQDA by using the command: install.packages("RQDA",repos="", type="source").

Step four, Install relevant R packages by command: install.packages("RQDA",dependencies=c("Depends",.

Then, you can see the prompt “>”,which indicates that R is ready for further commands. It can be launched as a normal application in Windows, or by command R within a shell terminal in Linux and FreeBSD.

Step three, Launch R for further installation.

More instructions about installing R are in the R Installation and Administration Manual. For Windows users, you can download the binary version of R from the download page. For Linux and BSD users, you can download binary version of R or the source code. You can refer to this page for installation of RGtk2. For other Linux users, you may have to manually install GTK+, download the source tarball, and follow the instructions of installation. In Fedora use yum install -y gtk2-devel to install.

For Debian-based Linux users, you may use sudo apt-get install libgtk2.0-dev to install GTK+ developer library. For windows user, download GTK+ and install it. Step one, Install GTK+ (because RGtk2 depends on GTK+, you need to install it before install RGtk2).You can use help(package="RQDA") to see more functions of the RQDA package. Perform Boolean operations and, or, and not for codings, files or cases coded by codes (since rev 280).Perform more flexible ways of conditional retrieval.Export file/case attributes and show subsets of files/cases only in respective widget through the ShowSubset function.Give a summary of coding and inter-code relationships.Calculate the relation between two codings, given the coding indexes.Manipulate the temporary deletions (list, undo temporary deletion, or permanently erase them).Rename files, codes, code categories, and cases.Search information about a selected case on the Internet via a pop-up menu.There is a case category and related attributes of cases, which is a crucial feature in bridging qualitative and quantitative research.Apply attributes to file, which is useful for content analysis.Search files by keywords with highlighting of the keyword in the open file.I deliberately avoid using tree-like categorization Organize codes into code categories, which is key to theory building.

#MAXQDA DOWNLOAD KOSTENLOS PORTABLE#

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)

#MAXQDA DOWNLOAD KOSTENLOS PDF#

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.

#MAXQDA DOWNLOAD KOSTENLOS 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?