Assumptions_resample {pwr2ppl}

Compute power for Multiple Regression with Violated assumptions using Resamples

Description

Compute power for Multiple Regression with Violated assumptions using Resamples

Usage

Assumptions_resample(
  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 = "boot",
  reps = 200,
  boots = 500
)

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 ("boot","jack","perm")

reps

number of replications, default is 200 - use larger for final analyses

boots

number of bootstrap samples. Default is 500. Use larger for final.

Value

Power for Multiple Regression with Non Normal Variables via resample

Examples

Assumptions_resample(ry1=.0,ry2=.3,r12=.3,sy=1,s1=2,s2=2,ky=1,k1=1,k2=1,n=100)