Difference between revisions of "RSiena (tutorial)"

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This [[Trails|trail]] illustrates how to analyze longitudinal network data by using [[RSiena | RSiena]] from within visone. We assume that you have installed the R connection as it is explained in the [[Installation_(trail)#Installing_the_R_connection|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_(trail)|visualization and analysis]] and basic knowledge about [http://www.stats.ox.ac.uk/~snijders/siena/SnijdersSteglichVdBunt2009.pdf  stochastic actor-oriented models (SOAM)].  
 
This [[Trails|trail]] illustrates how to analyze longitudinal network data by using [[RSiena | RSiena]] from within visone. We assume that you have installed the R connection as it is explained in the [[Installation_(trail)#Installing_the_R_connection|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_(trail)|visualization and analysis]] and basic knowledge about [http://www.stats.ox.ac.uk/~snijders/siena/SnijdersSteglichVdBunt2009.pdf  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 [[Media:Classroom_graphmls.zip|Classroom_graphmls.zip]] and explained in [[Knecht_Classroom_(data)]]. Further you should remove all ties that are not rated as ''very likely'' in the same manner as it is explained in the last section of the [[Visualization_and_analysis_(trail)#Selecting_elements_dependent_on_attribute_values|visualization and analysis trail]].
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To follow the steps illustrated in this trail you should download the longitudinal network files ''classroom_graph1.graphml'' - ''classroom_graph4.graphml'' zipped in [[Media:Classroom_graphmls.zip|Classroom_graphmls.zip]] and explained on page [[Knecht_Classroom_(data)|Knecht Classroom (data)]].
  
==Sending networks from visone to R==
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==Defining longitudinal network data==
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==Adding individual or dyadic covariates==
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==Specifying missing data or structurally fixed values==
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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!
  
 
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
 
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

Revision as of 15:02, 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!

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 R connection options accessible via the file, options menu. If it works you should get a message like