RSiena (tutorial): Difference between revisions
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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 | 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 of [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 on page [[Knecht_Classroom_(data)|Knecht Classroom (data)]]. | 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)]]. | ||
Revision as of 15:16, 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 of 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!