win1Ftrends: Compute power for a One Factor Within Subjects Trends with up... In pwr2ppl: Power Analyses for Common Designs (Power to the People)

Description

Compute power for a One Factor Within Subjects 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

 1 2 3 win1Ftrends(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 Trends

Examples

 1 2 win1Ftrends(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 June 12, 2019, 5:03 p.m.