lmm1Ftrends: Compute power for a One Factor Within Subjects LMM Trends...

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

Compute power for a One Factor Within Subjects LMM Trends with up to four levels. Takes means, sds, and sample sizes for each group. Alpha is .05 by default, alternative values may be entered by user

Description

Compute power for a One Factor Within Subjects LMM Trends with up to four levels. Takes means, sds, and sample sizes for each group. Alpha is .05 by default, alternative values may be entered by user

Usage

lmm1Ftrends(
  m1,
  m2,
  m3 = NA,
  m4 = NA,
  s1,
  s2,
  s3 = NULL,
  s4 = NULL,
  r12,
  r13 = NULL,
  r14 = NULL,
  r23 = NULL,
  r24 = NULL,
  r34 = NULL,
  n,
  alpha = 0.05
)

Arguments

m1	Mean of first time point
m2	Mean of second time point
m3	Mean of third time point
m4	Mean of fourth time point
s1	Standard deviation of first time point
s2	Standard deviation of second time point
s3	Standard deviation of third time point
s4	Standard deviation of forth time point
r12	correlation Time 1 and Time 2
r13	correlation Time 1 and Time 3
r14	correlation Time 1 and Time 4
r23	correlation Time 2 and Time 3
r24	correlation Time 2 and Time 4
r34	correlation Time 3 and Time 4
n	Sample size for first group
alpha	Type I error (default is .05)

Value

Power for the One Factor Within Subjects LMM Trends

Examples

lmm1Ftrends(m1=-.25,m2=-.15,m3=-.05,m4=.05,s1=.4,s2=.5,s3=.6,s4=.7,
r12=.50, r13=.30, r14=.15, r23=.5, r24=.30, r34=.50, n=25)

pwr2ppl documentation built on Sept. 6, 2022, 5:06 p.m.