Difference between revisions of "RSiena (tutorial)"

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  This option is not yet included in the current release ''visone-2.6.3'' but will be in the next release!
 
  This option is not yet included in the current release ''visone-2.6.3'' but will be in the next release!
  
To send the network from visone to R open the [[R console tab]], choose a name in the textfield '''r name''' (you might just accept visone's suggestion for this name, which should be ''egonet''), and click on the '''send''' button. After clicking on '''send''' visone starts the Rserve connection and opens the R-console. If this does not work you should check the settings of the [[Option_dialog#R_-_connection|R connection options]] accessible via the '''file, options''' menu. If it works you should get a message like
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==Model specification and estimation==
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==Simulation==
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==Visualize simulated netwoks==

Revision as of 15:14, 29 March 2011

This trail illustrates how to analyze longitudinal network data by using RSiena from within visone. We assume that you have installed the R connection as it is explained in the installation trail. We also assume that you have basic understanding about how to work with visone as it is, for instance, explained in the trail on visualization and analysis and basic knowledge about stochastic actor-oriented models (SOAM).

To follow the steps illustrated in this trail you should download the longitudinal network files classroom_graph1.graphml - classroom_graph4.graphml zipped in Classroom_graphmls.zip and explained on page Knecht Classroom (data).

Defining longitudinal network data

Adding individual or dyadic covariates

Specifying missing data or structurally fixed values

This option is not yet included in the current release visone-2.6.3 but will be in the next release!

Model specification and estimation

Simulation

Visualize simulated netwoks