compute_adjustment: compute_adjustment

In dbaranger/InteractionPoweR: Power Analyses for Interaction Effects in Cross-Sectional Regressions

compute_adjustment

Description

Computes how much variable correlations need to be adjusted so that they have the desired correlation structure after transformation. Intended for internal use only.

Usage

compute_adjustment(
  r.x1.y,
  r.x2.y,
  r.x1x2.y,
  r.x1.x2,
  N.adjustment = 1e+06,
  tol = 0.005,
  iter = 10,
  k.x1,
  k.x2,
  k.y
)

Arguments

r.x1.y	Internal use only
r.x2.y	Internal use only
r.x1x2.y	Internal use only
r.x1.x2	Internal use only
N.adjustment	Internal use only
tol	Internal use only
iter	Internal use only
k.x1	Internal use only
k.x2	Internal use only
k.y	Internal use only

Value

Correlation adjustments.

Examples

compute_adjustment(r.x1.y = .2,r.x2.y = .2,r.x1x2.y = .1,r.x1.x2 = .2,
k.x1 = 0,k.x2=0,k.y=2)

dbaranger/InteractionPoweR documentation built on July 12, 2024, 3:08 p.m.