average | R Documentation |
Specifies the statistic for an "average" effect in the tie-oriented model or the receiver choice step of the actor-oriented model. An "average" effect refers to an exogenous actor attribute that affects dyad (i,j)'s rate of interacting (tie-oriented model) or actor j's probability of being chosen as a receiver for the event send by the active sender i at time t (actor-oriented model) based on the average of the values of actors i and j on this attribute.
average(variable, attr_actors = NULL, scaling = c("none", "std"), attr_data)
variable |
string with the name of the column in the
|
attr_actors |
optionally, an object of class
|
scaling |
the method for scaling the statistic. Default is to not scale the statistic. Alternatively, standardization of the statistic per time point can be requested with "std". |
attr_data |
Deprecated argument. Please use 'attr_actors' instead. |
The statistic at timepoint t for dyad (i,j) is equal to the average of the values of actor i and j on the attribute at timepoint t.
Construct the 'attr_actors' object as a data frame where each row represents the attribute value of actor i at timepoint t:
name: The actors' name.
time: The time when the attribute values change.
variable: The third column contains the attribute used in the
specification of the "difference" effect. The column name should correspond
to the string supplied to the variable
argument in the 'difference()'
function.
Note that it is possible to omit the 'attr_actors' object in the call of
difference()
and, instead, supply it in the call of remstats()
for multiple exogenous effects.
List with all information required by 'remstats::remstats()' to compute the statistic.
reh_tie <- remify::remify(history, model = "tie")
effects <- ~ average("extraversion")
remstats(reh = reh_tie, tie_effects = effects, attr_actors = info)
reh_actor <- remify::remify(history, model = "actor")
remstats(reh = reh_actor, receiver_effects = effects, attr_actors = info)
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