minimum: minimum

In remstats: Computes Statistics for Relational Event History Data

minimum

Description

Specifies the statistic for a "minimum" effect in the tie-oriented model. A "minimum" effect refers to an exogenous actor attribute that affects dyad (i,j)'s rate of interacting based on the minimum of the values of actors i and j on this attribute.

Usage

minimum(variable, attr_actors = NULL, scaling = c("none", "std"), attr_data)

Arguments

variable	string with the name of the column in the attr_actors object for which the statistic has to be computed.
attr_actors	optionally, an object of class data.frame that contains the attribute, see 'Details.'
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.

Details

The statistic at timepoint t for dyad (i,j) is equal to the minimum 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.

Value

List with all information required by 'remstats::remstats()' to compute the statistic.

Examples

reh_tie <- remify::remify(history, model = "tie", directed = FALSE)
effects <- ~ minimum("extraversion")
remstats(reh = reh_tie, tie_effects = effects, attr_actors = info)

remstats documentation built on May 29, 2024, 5:21 a.m.