selectionTable.se: Calculates standard errors for a linear combination of...

In johninpdx/RSSelectionTbl: Calculates and graphs selection & influence tables

Description

Calculates standard errors for a linear combination of elements of a selection table

Usage

selectionTable.se(x, xd, name, vname, levls, ww, levls.alt = levls)

Arguments

x	sienaFit: Results from a single group analysis
xd	siena: the RSiena Data Object or Data Set that was used to generate x
name	character: the name of the endogenous variable of interest (a network or behavior variable)
vname	character: the actor variable name (i.e. predictor variable)
levls	numeric: number of ego levels in the variable given by vname
ww	matrix: same format as the selection table of interest, containing the coefficients of the linear combination
levls.alt	numeric (=levls): number of alter levels in vname (usually = levls, in which case you do not need to include it in the call)

Details

The linear combination for which the standard error is computed is sum_h,k ww[h,k] * selectionTable[h,k].

Value

matrix: the selection (or influence) table se's, with alter values of 'vname' across the columns, and ego values down the rows.

johninpdx/RSSelectionTbl documentation built on May 21, 2019, 12:20 p.m.