lmm2F: Compute power for a Two Factor Within Subjects Using Linear...

Description Usage Arguments Value Examples

View source: R/lmm2F.R

Description

Compute power for a Two Factor Within Subjects Using Linear Mixed Models with up to two by four levels. Takes means, sds, and sample sizes for each group. Alpha is .05 by default, alternative values may be entered by user

Usage

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lmm2F(
  m1.1,
  m2.1,
  m3.1 = NA,
  m4.1 = NA,
  m1.2,
  m2.2,
  m3.2 = NA,
  m4.2 = NA,
  s1.1 = NA,
  s2.1 = NA,
  s3.1 = NA,
  s4.1 = NA,
  s1.2 = NA,
  s2.2 = NA,
  s3.2 = NA,
  s4.2 = NA,
  r12 = NULL,
  r13 = NULL,
  r14 = NULL,
  r15 = NULL,
  r16 = NULL,
  r17 = NULL,
  r18 = NULL,
  r23 = NULL,
  r24 = NULL,
  r25 = NULL,
  r26 = NULL,
  r27 = NULL,
  r28 = NULL,
  r34 = NULL,
  r35 = NULL,
  r36 = NULL,
  r37 = NULL,
  r38 = NULL,
  r45 = NULL,
  r46 = NULL,
  r47 = NULL,
  r48 = NULL,
  r56 = NULL,
  r57 = NULL,
  r58 = NULL,
  r67 = NULL,
  r68 = NULL,
  r78 = NULL,
  r = NULL,
  s = NULL,
  n,
  alpha = 0.05
)

Arguments

m1.1

Mean of first level factor 1, 1st level factor two

m2.1

Mean of second level factor 1, 1st level factor two

m3.1

Mean of third level factor 1, 1st level factor two

m4.1

Mean of fourth level factor 1, 1st level factor two

m1.2

Mean of first level factor 1, 2nd level factor two

m2.2

Mean of second level factor 1, 2nd level factor two

m3.2

Mean of third level factor 1, 2nd level factor two

m4.2

Mean of fourth level factor 1, 2nd level factor two

s1.1

Standard deviation of first level factor 1, 1st level factor two

s2.1

Standard deviation of second level factor 1, 1st level factor two

s3.1

Standard deviation of third level factor 1, 1st level factor two

s4.1

Standard deviation of forth level factor 1, 1st level factor two

s1.2

Standard deviation of first level factor 1, 2nd level factor two

s2.2

Standard deviation of second level factor 1, 2nd level factor two

s3.2

Standard deviation of third level factor 1, 2nd level factor two

s4.2

Standard deviation of forth level factor 1, 2nd level factor two

r12

correlation Factor 1, Level 1 and Factor 1, Level 2

r13

correlation Factor 1, Level 1 and Factor 1, Level 3

r14

correlation Factor 1, Level 1 and Factor 1, Level 4

r15

correlation Factor 1, Level 1 and Factor 2, Level 1

r16

correlation Factor 1, Level 1 and Factor 2, Level 2

r17

correlation Factor 1, Level 1 and Factor 2, Level 3

r18

correlation Factor 1, Level 1 and Factor 2, Level 4

r23

correlation Factor 1, Level 2 and Factor 1, Level 3

r24

correlation Factor 1, Level 2 and Factor 1, Level 4

r25

correlation Factor 1, Level 2 and Factor 2, Level 1

r26

correlation Factor 1, Level 2 and Factor 2, Level 2

r27

correlation Factor 1, Level 2 and Factor 2, Level 3

r28

correlation Factor 1, Level 2 and Factor 2, Level 4

r34

correlation Factor 1, Level 3 and Factor 1, Level 4

r35

correlation Factor 1, Level 3 and Factor 2, Level 1

r36

correlation Factor 1, Level 3 and Factor 2, Level 2

r37

correlation Factor 1, Level 3 and Factor 2, Level 3

r38

correlation Factor 1, Level 3 and Factor 2, Level 4

r45

correlation Factor 1, Level 4 and Factor 2, Level 1

r46

correlation Factor 1, Level 4 and Factor 2, Level 2

r47

correlation Factor 1, Level 4 and Factor 2, Level 3

r48

correlation Factor 1, Level 4 and Factor 2, Level 4

r56

correlation Factor 2, Level 1 and Factor 2, Level 2

r57

correlation Factor 2, Level 1 and Factor 2, Level 3

r58

correlation Factor 2, Level 1 and Factor 2, Level 4

r67

correlation Factor 2, Level 2 and Factor 2, Level 3

r68

correlation Factor 2, Level 2 and Factor 2, Level 4

r78

correlation Factor 2, Level 3 and Factor 2, Level 4

r

sets same correlations between DVs on all factor levels (seriously, just use this)

s

sets same standard deviation for factor levels (see comment above)

n

Sample size for first group

alpha

Type I error (default is .05)

Value

Power for the Two Factor Within Subjects LMM

Examples

1
lmm2F(m1.1=-.25,m2.1=0,m1.2=-.25,m2.2=.10,s1.1=.4,s2.1=.5,s1.2=.4,s2.2=.5,r=.5,n=200)

pwr2ppl documentation built on April 4, 2021, 9:06 a.m.