sienaFit: Methods for processing sienaFit and sienaBayesFit objects,...
In RSienaTest: Siena - Simulation Investigation for Empirical Network Analysis

Description Usage Arguments Value Author(s) References See Also Examples

print, summary, and xtable methods for sienaFit objects.

## S3 method for class 'sienaFit'
print(x, tstat=TRUE, ...)

## S3 method for class 'sienaFit'
summary(object, ...)

## S3 method for class 'summary.sienaFit'
print(x, matrices=TRUE, ...)

## S3 method for class 'sienaFit'
xtable(x, caption = NULL, label = NULL, align = NULL,
                digits = NULL, display = NULL, ...)

siena.table(x, type="tex", file=paste(deparse(substitute(x)), ".", type,sep=""),
            vertLine=TRUE, tstatPrint=FALSE, sig=FALSE, d=3, nfirst=NULL)

`object`	An object of class `sienaFit`, produced by `siena07`.
`x`	An object of class `sienaFit`, or `summary.sienaFit` as appropriate; for `siena.table`, also an object of type `sienaBayesFit`.
`matrices`	Boolean: whether also to print in the summary the covariance matrix of the estimates, the derivative matrix of expected statistics X by parameters, and the covariance matrix of the statistics.
`tstat`	Boolean: if this is NULL, the t-statistics for convergence will not be added to the report.
`type`	Type of output to produce; must be either `"tex"` or `"html"`.
`file`	Name of the file; defaults to the name of the `sienaFit` object. "" indicates output to the console.
`vertLine`	Boolean: add vertical lines separating the columns in `siena.table`.
`tstatPrint`	Boolean: add a column of significance t values (parameter estimate/standard error estimate) to `siena.table`.
`sig`	Boolean: adds symbols (daggers and asterisks) indicating significance levels for the parameter estimates to `siena.table`.
`d`	The number of decimals places used in `siena.table`.
`caption`	See documentation for `xtable`.
`label`	See documentation for `xtable`.
`align`	See documentation for `xtable`.
`digits`	See documentation for `xtable`.
`display`	See documentation for `xtable`
`nfirst`	For `sienaBayes` objects `x`: the first element of the MCMC chain used for calculating properties of the chain; i.e., the first element for which it is assumed that convergence has occurred. If `NULL`, the value `x$nwarm+1` will be used.
`...`	Add extra parameters for `print.xtable` here. e.g. `type`, `file`.

The function print.sienaFit prints a table containing estimated parameter values, standard errors and (optionally) t-statistics for convergence.

The function summary.sienaFit prints a table containing estimated parameter values, standard errors and t-statistics for convergence together with the covariance matrix of the estimates, the derivative matrix of expected statistics X by parameters, and the covariance matrix of the expected statistics X.

The function xtable.sienaFit creates an object of class xtable.sienaFit which inherits from class xtable and passes an extra arguments to the print.xtable.

The function siena.table outputs a latex or html table of the estimates and standards errors of a sienaFit object; or of posterior means and posterior standard deviations of the global parameters of a sienaBayesFit object. The table will be written to a file in the current directory and has a footnote reporting the maximum of the convergence t-ratios.

See the manual for how to import these tables easily into MS-Word.

Ruth Ripley, Charlotte Greenan, Tom Snijders

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

xtable, print.xtable, siena07

myalgorithm <- sienaAlgorithmCreate(nsub=2, n3=100, projname=NULL)
mynet1 <- sienaDependent(array(c(tmp3, tmp4), dim=c(32, 32, 2)))
mydata <- sienaDataCreate(mynet1)
myeff <- getEffects(mydata)
ans <- siena07(myalgorithm, data=mydata, effects=myeff, batch=TRUE)
ans
summary(ans)
## Not run: 
xtable(ans, type="html", file="ans.html")
siena.table(ans, type="html", tstat=TRUE, d=2)

## End(Not run)