md_prec: Compute Precision Analyses for Mean Differences

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

Compute Precision Analyses for Mean Differences

Description

Compute Precision Analyses for Mean Differences

Usage

md_prec(m1, m2, s1, s2, nlow, nhigh, propn1 = 0.5, ci = 0.95, by = 1)

Arguments

m1	Mean of first group
m2	Mean of second group
s1	Standard deviation of first group
s2	Standard deviation of second group
nlow	starting sample size
nhigh	ending sample size
propn1	Proportion in First Group
ci	Type of Confidence Interval (e.g., .95)
by	Incremental increase in sample (e.g. nlow = 10, nhigh = 24, by = 2, produces estimates of 10, 12, and 14)

Value

Precision Analyses for Mean Differences

Examples

md_prec(m1=2,m2 =0, s1=5, s2=5,nlow=100, nhigh =1600, propn1=.5, ci=.95, by=100)
md_prec(m1=0,m2 =0, s1=5, s2=5,nlow=100, nhigh =40000, propn1=.5, ci=.95, by=1000)

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