Pre-release
Pre-release

@leifeld leifeld released this Oct 20, 2018 · 3 commits to master since this release

Assets 6

This new beta version contains...

  • improved time window algorithms (implemented by @leifeld) for smoothed polarization measures over time (see the dna_timeWindow and dna_plotTimeWindow functions in the rDNA package) and
  • a workflow for estimating one- or two-dimensional item response theory (IRT) models based on DNA data using the MCMCpack package (implemented by @TimHenrichsen) for ideological scaling of actors and concepts (see rDNA functions dna_scale1dbin, dna_scale1dord, dna_scale2dbin, dna_scale2dord, plot.dna_scale, print.dna_scale, and dna_plotScale).
Pre-release

@JBGruber JBGruber released this May 21, 2018 · 27 commits to master since this release

Assets 6

Added several new functions to rDNA, which is now a more complete tool for qualitative content analysis and discourse network analysis.

With this new release, rDNA is now more than just an R package to retrieve network data from DNA. Several new functions such as dna_cluster(), dna_barplot(), dna_plotFrequency(), dna_plotDendro(), dna_plotHeatmap(), dna_plotHive(), dna_plotCoordinates(), dna_plotNetwork(), dna_plotTimeWindow(), dna_addDocument(), dna_getDocuments(), dna_removeDocument() , dna_setDocuments() and dna_getAttributes() were implemented. This means that rDNA now covers many common steps of a discourse network analysis with dedicated functions in R.

The new functions are also covered in a new version of the manual.

This release also fixed several bugs in DNA and added the ability to specify the width of popup windows in the GUI.

Pre-release

@JBGruber JBGruber released this Feb 26, 2018 · 133 commits to master since this release

Assets 6

Added completed manual, additional functions in rDNA and fixed a few minor issues.

With this new release, DNA now has a complete guide in form of the "Discourse Network Analyzer Manual". The manual helps users to get started with DNA, describes the functionality of DNA and showcases some application scenarios of the work with rDNA.

There are also several new functions in rDNA: dna_sample, dna_timeWindow, dna_plotTimeWindow, dna_plotCentrality, dna_cluster and dna_plotCluster. See the help pages of the rDNA package for more details.

Pre-release

@leifeld leifeld released this Apr 4, 2017

Assets 5

Re-implemented rDNA support completely and fixed a few minor issues.

With this new release, the statistical computing environment R can be used to extract network data and attributes from DNA right into R. Functions include dna_init, dna_connection, dna_gui, dna_network, and dna_attributes. See the help pages of the rDNA package for more details.

Pre-release

@leifeld leifeld released this Feb 14, 2017

Assets 4

This beta release includes a complete revision of the network export functions:

  • New graphical user interface for network export, showing everything on one page.
  • Re-implemented visone/graphml, csv, and dl file export.
  • Graphml/visone export now uses colors and attributes from the attribute manager.
  • Fixing bugs with two-mode/affiliation network export.
  • Fixing bugs with the subtract algorithm.
  • Implementing all normalization methods (average activity, Jaccard, and cosine).
  • Adding new normalization methods for two-mode networks (activity and prominence standardization).
  • Improved support for integer qualifier variables with congruence and conflict networks.
  • Normalization also for subtract, combine, congruence, and conflict networks.
  • Preview of excluded values.
  • Document meta-data (author, type, source, or section) can be used as variables during export.
  • Duplicate statements can be excluded at multiple levels.

There is also a revised sample.dna file for testing purposes.

Several things have not been implemented yet and may be added in future versions, in particular new rDNA bindings for importing networks into R, creation of congruence ties nested in documents, additional export formats (including Gephi and Pajek), and dynamic network algorithms.

Update 17 February 2017: The sample.dna file was corrupt and has been replaced.