print.sienaEffects function

Print methods for Siena effects objects

Prints the major columns of the effects object. Or all, with any non-atomic columns listed separately.

## S3 method for class 'sienaEffects'
print(x, fileName = NULL, includeOnly=TRUE,
expandDummies = FALSE, includeRandoms = FALSE, dropRates=FALSE, ...)
## S3 method for class 'sienaEffects'
summary(object, fileName = NULL,
includeOnly=TRUE, expandDummies = FALSE, ...)
## S3 method for class 'summary.sienaEffects'
print(x, fileName = NULL, ...)

Arguments

• object: An object of class sienaEffects.
• x: An object of class sienaEffects or summary.sienaEffects as appropriate.
• fileName: Character string denoting file name if file output desired.
• includeOnly: Boolean. If TRUE, only effects with the include flag TRUE will be printed.
• expandDummies: Interpret the timeDummy column and show any effects which would be added by sienaTimeFix.
• includeRandoms: Boolean. If TRUE, also the randomEffects column will be printed.
• dropRates: Boolean. If TRUE, do not print the rows for basic rate effects.
• ...: For extra arguments (none used at present).

Returns

The function print.sienaEffects prints details of the main columns of the selected rows of the effects object.

If the effects object includes statistics for the Generalized Method of Moments (GMoM), as included by function includeGMoMStatistics and for which type=gmm, the print consists of two parts: the first consists of the included effects for the probability model, the second of the statistics used for GMoM estimation.

The function summary.sienaEffects checks the rows for valid printing via print.data.frame and excludes any that will fail. The OK columns are printed first, followed by any others.

Output from either can be directed to a file by using the argument filename.

References

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

Author(s)

Ruth Ripley, modifications by Tom Snijders and Viviana Amati.

See Also

sienaEffects, getEffects, includeEffects, includeGMoMStatistics, sienaTimeTest, effectsDocumentation

Examples

mynet1 <- sienaDependent(array(c(s501, s502, s503), dim=c(50, 50, 3)))
mybeh <- sienaDependent(s50a, type="behavior")
mycovar <- coCovar(rnorm(50))
mydyadcovar <- coDyadCovar(matrix(as.numeric(rnorm(2500) > 2), nrow=50))
mydata <- sienaDataCreate(mynet1, mybeh, mycovar, mydyadcovar)
myeff <- getEffects(mydata)
myeff
summary(myeff)