d_prec: Compute Precision Analyses for Standardized Mean Differences

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

Compute Precision Analyses for Standardized Mean Differences

Description

Compute Precision Analyses for Standardized Mean Differences

Usage

d_prec(d, nlow, nhigh, propn1 = 0.5, ci = 0.95, tails = 2, by = 1)

Arguments

d	Standardized means difference between groups
nlow	starting total sample size
nhigh	ending total sample size
propn1	Proportion in First Group
ci	Type of Confidence Interval (e.g., .95)
tails	number of tails for test (default is 2)
by	Incremental increase in sample (e.g. nlow = 10, nhigh = 24, by = 2, produces estimates of 10, 12, and 14)

Value

Precision Analyses for Standardized Mean Differences

Examples

d_prec(d=.4,nlow=100, nhigh=2000, propn1=.5, ci=.95, by=100)

chrisaberson/pwr2ppl documentation built on Sept. 10, 2022, 2:59 a.m.