sienaFit.methods {RSiena} | R Documentation |
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, ...) ## S3 method for class 'sienaFit': xtable(x, caption = NULL, label = NULL, align = NULL, digits = NULL, display = NULL, ...)
object |
An object of class sienaFit |
x |
An object of class sienaFit , or
summary.sienaFit as appropriate |
tstat |
Boolean: add the t-statistics for convergence to the report |
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 |
... |
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
.
Ruth Ripley
See http://www.stats.ox.ac.uk/~snijders/siena/
mymodel <- sienaModelCreate(fn=simstats0c, nsub=2, n3=100) mynet1 <- sienaNet(array(c(tmp3, tmp4), dim=c(32, 32, 2))) mydata <- sienaDataCreate(mynet1) myeff <- getEffects(mydata) ans <- siena07(mymodel, data=mydata, effects=myeff, batch=TRUE) ans summary(ans) xtable(ans, type='html', file='ans.html')