RSiena: sienaDataCreate – R documentation

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sienaDataCreate

Function to create a Siena data object

Description

Creates a Siena data object from input dependent variables (networks and possibly behavioural variables), covariates, and composition change objects.

Usage

sienaDataCreate(..., nodeSets=NULL, getDocumentation=FALSE)

Arguments

`...`	objects of class `sienaDependent`, `coCovar`, `varCovar`, `coDyadCovar`, `varDyadCovar`, and/or `sienaCompositionChange`. There should be at least one `sienaDependent` object.
`nodeSets`	list of Siena node sets. Default is the single node set named "Actors", length equal to the number of rows in the first object of class "sienaDependent". If the entire data set contains more than one node set, then the node sets must have been specified in the creation of all data objects mentioned in ....
`getDocumentation`	Flag to allow documentation of internal functions, not for use by users.

Details

The function checks that the objects fit, that there is at least one network, and adds various attributes to each dependent variable describing the data. If there is more than one nodeSet they must all be specified. Function print01Report will give a basic description of the data object and is a check useful, e.g., for diagnosing problems.

Value

An object of class "siena" which is designed to be used in a siena model fit. The components of the object are.

`nodeSets`	List of node sets involved
`observations`	Integer indicating number of waves of data
`depvars`	List of networks and behavior variables
`cCovars`	List of constant covariates
`vCovars`	List of changing covariates
`dycCovars`	List of constant dyadic covariates
`dyvCovars`	List of changing dyadic covariates
`compositionChange`	List of composition change objects corresponding to the node sets

Author(s)

Ruth Ripley

References

See http://www.stats.ox.ac.uk/~snijders/siena/

Examples

mynet <- sienaDependent(array(c(s501, s502, s503), dim=c(50, 50, 3)))
mybeh <- sienaDependent(s50a, type="behavior")
mydata <- sienaDataCreate(mynet, mybeh)
## And for a two-mode network
mynet1 <- sienaDependent(array(c(s501, s502), dim=c(50, 50, 2)), nodeSet="senders")
senders <- sienaNodeSet(50, nodeSetName="senders")
receivers <- sienaNodeSet(30, nodeSetName="receivers")
mynet2 <- sienaDependent(array(c(s501[,1:30], s502[,1:30]), dim=c(50, 30, 2)),
      nodeSet=c("senders", "receivers"))
(mydata <- sienaDataCreate(mynet1, mynet2, nodeSets=list(senders, receivers)))
## Not run: 
print01Report(mydata, modelname = "mydescription")

## End(Not run)

RSiena

Siena - Simulation Investigation for Empirical Network Analysis

v1.3.0

GPL-2 | GPL-3 | file LICENSE

Authors

Tom A.B. Snijders [cre, aut] (<https://orcid.org/0000-0003-3157-4157>), Ruth Ripley [aut], Christian Steglich [aut, ctb] (<https://orcid.org/0000-0002-9097-0873>), Johan Koskinen [aut, ctb] (<https://orcid.org/0000-0002-6860-325X>), Nynke Niezink [aut, ctb], Viviana Amati [aut, ctb] (<https://orcid.org/0000-0003-1190-1237>), Christoph Stadtfeld [ctb] (<https://orcid.org/0000-0002-2704-2134>), James Hollway [ctb] (IHEID, <https://orcid.org/0000-0002-8361-9647>), Per Block [ctb], Robert Krause [ctb], Charlotte Greenan [ctb], Josh Lospinoso [ctb], Michael Schweinberger [ctb] (<https://orcid.org/0000-0003-3649-5386>), Mark Huisman [ctb], Krists Boitmanis [ctr], Felix Schoenenberger [ctb], Mark Ortmann [ctb], Marion Hoffman [ctb], Robert Hellpap [ctb], Alvaro Uzaheta [ctb]

Initial release

2021-05-02