A.std: Standardized A Matrix

In jeksterslabds/jeksterslabRmedsimple: Jekster's Lab Simple Mediation Model Utilities

Description

Matrix of regression slopes from the standardized simple mediation model.

Usage

A.std(taudotprime, betaprime, alphaprime, lambdax, lambdam, lambday)

Arguments

taudotprime	Numeric. Standardized slope of path from x to y ≤ft( \dot{τ}^{\prime} \right).
betaprime	Numeric. Standardized slope of path from m to y ≤ft( β^{\prime} \right) .
alphaprime	Numeric. Standardized slope of path from x to m ≤ft( α^{\prime} \right) .
lambdax	Numeric. Factor loading xlatent ~ x ≤ft( λ_x \right) . Numerically equivalent to the standard deviation of x.
lambdam	Numeric. Factor loading mlatent ~ m ≤ft( λ_m \right) . Numerically equivalent to the standard deviation of m.
lambday	Numeric. Factor loading ylatent ~ y ≤ft( λ_y \right) . Numerically equivalent to the standard deviation of y.

Author(s)

Ivan Jacob Agaloos Pesigan

See Also

Other reticular action model functions: A(), Mfrommu(), M(), S.std(), Sfromsigma2(), Sigmatheta.std(), Sigmathetafromsigma2(), Sigmatheta(), S(), mutheta()

Examples

A.std(
  taudotprime = 0.2080748,
  betaprime = 0.4126006,
  alphaprime = 0.3708979,
  lambdax = 1.137308,
  lambdam = 1.038248,
  lambday = 1.134973
)

jeksterslabds/jeksterslabRmedsimple documentation built on Oct. 16, 2020, 11:30 a.m.