Function to include GMoM statistics in a Siena model
This function can be used for including one or more GMoM statistics by modifying a Siena effects object.
includeGMoMStatistics(myeff, ..., include=TRUE, name=myeff$name[1],
interaction1="", interaction2="",
character=FALSE, verbose=TRUE)myeff |
a Siena effects object as created by |
... |
short names to identify the GMoM statistics which should be included or excluded. |
include |
Boolean; default TRUE, but can be switched to FALSE to turn off an effect. |
name |
Name of dependent variable (network or behavior) for which statistics are being included. Defaults to the first in the effects object. |
interaction1 |
Name of siena object where needed to completely identify the effects e.g. covariate name or behavior variable name. |
interaction2 |
Name of siena object where needed to completely identify the effects e.g. covariate name or behavior variable name. |
character |
Boolean: are the statistic names character strings or not. |
verbose |
Boolean: should the print of altered statistic be produced. |
The names interaction1 and interaction2 refer to
the dependence of the GMoM statistics on other variables in the data set.
The arguments should identify the GMoM statistic completely.
The type does not have to be specified, as it is gmm for all
GMoM statistiscs in the effects object.
The short names must not be set between quotes,
unless you use character=TRUE.
The function includeGMoMStatistics operates as an interface
setting the "include" column on selected rows of the effects object,
to the value requested (TRUE or FALSE).
An updated version of the input effects object, with the include
column for one or more rows updated.
Details of the rows altered will be printed.
Viviana Amati.
mynet1 <- sienaDependent(array(c(s501, s502, s503), dim=c(50, 50, 3))) mybeh <- sienaDependent(s50a, type="behavior") mydata <- sienaDataCreate(mynet1, mybeh) myeff <- getEffects(mydata) myeff <- includeGMoMStatistics(myeff, egoX_gmm, interaction1="mybeh") myeff
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