Assumptions_resample: Compute power for Multiple Regression with Violated...

In chrisaberson/pwr2ppl: Power Analyses for Common Designs (Power to the People)

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)

chrisaberson/pwr2ppl documentation built on Sept. 10, 2022, 2:59 a.m.