# lmm1F: Compute power for a One Factor Within Subjects Linear Mixed... In pwr2ppl: Power Analyses for Common Designs (Power to the People)

## Description

Compute power for a One Factor Within Subjects Linear Mixed Model 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

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18``` ```lmm1F( 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 Linear Mixed Model

## Examples

 ```1 2 3 4``` ```lmm1F(m1=-.25,m2=.00,m3=.10,m4=.15,s1=.4,s2=.5,s3=.6,s4=.7, r12=.50, r13=.30, r14=.15, r23=.5, r24=.30, r34=.50, n=25) lmm1F(m1=-.25,m2=.00,m3=.10,m4=.15,s1=.4,s2=.5,s3=2.5,s4=2.0, r12=.50, r13=.30, r14=.10, r23=.5, r24=.30, r34=.40, n=100) ```

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