print.sienaEffects: Print methods for Siena effects objects

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

View source: R/effectsMethods.r

Description

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

Usage

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## 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. This may be useful especially for effects objects used for sienaBayes.

...

For extra arguments (none used at present).

Value

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

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.

Author(s)

Ruth Ripley, modifications by Tom Snijders.

References

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

See Also

sienaTimeTest, effectsDocumentation

Examples

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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)

RSienaTest documentation built on July 14, 2021, 3 a.m.