Assumptions: Compute power for Multiple Regression with Violated assumptions (Beta)

Description

Compute power for Multiple Regression with Violated assumptions (Beta)

Usage

Assumptions(
  ry1 = NULL,
  ry2 = NULL,
  ry3 = NULL,
  ry4 = NULL,
  ry5 = NULL,
  r12 = NULL,
  r13 = NULL,
  r14 = NULL,
  r15 = NULL,
  r23 = NULL,
  r24 = NULL,
  r25 = NULL,
  r34 = NULL,
  r35 = NULL,
  r45 = NULL,
  sy = NULL,
  s1 = NULL,
  s2 = NULL,
  s3 = NULL,
  s4 = NULL,
  s5 = NULL,
  ky = NULL,
  k1 = NULL,
  k2 = NULL,
  k3 = NULL,
  k4 = NULL,
  k5 = NULL,
  n = NULL,
  alpha = 0.05,
  test = NULL,
  nruns = 500
)

Value

Power for Resampled Multiple Regression with Non Normal Variables

Arguments

ry1: Correlation between DV (y) and first predictor (1)
ry2: Correlation between DV (y) and second predictor (2)
ry3: Correlation between DV (y) and third predictor (3)
ry4: Correlation between DV (y) and fourth predictor (4)
ry5: Correlation between DV (y) and fifth predictor (5)
r12: Correlation between first (1) and second predictor (2)
r13: Correlation between first (1) and third predictor (3)
r14: Correlation between first (1) and fourth predictor (4)
r15: Correlation between first (1) and fifth predictor (5)
r23: Correlation between second (2) and third predictor (3)
r24: Correlation between second (2) and fourth predictor (4)
r25: Correlation between second (2) and fifth predictor (5)
r34: Correlation between third (3) and fourth predictor (4)
r35: Correlation between third (3) and fifth predictor (5)
r45: Correlation between fourth (4) and fifth predictor (5)
sy: Skew of outcome variable
s1: Skew of first predictor
s2: Skew of second predictor
s3: Skew of third predictor
s4: Skew of fourth predictor
s5: Skew of fifth predictor
ky: Kurtosis of outcome variable
k1: Kurtosis of first predictor
k2: Kurtosis of second predictor
k3: Kurtosis of third predictor
k4: Kurtosis of fourth predictor
k5: Kurtosis of fifth predictor
n: Sample size
alpha: Type I error (default is .05)
test: type of test (none, sqrt, log, inv, robust, boot, quantile, hc0, hc1, hc2, hc3)
nruns: number of runs, default is 500

Examples

Run this code

Assumptions(ry1=.0,ry2=.3,r12=.3,sy=1,s1=2,s2=2,ky=1,k1=1,k2=1,n=100,nruns=20,test="sqrt")

Run the code above in your browser using DataLab