powerAnalysis (version 0.2.1)

ES.t.paired: Calculating effect size (Cohen's d) of paired two-sample t test

Description

Calculating effect size (Cohen's d) of paired two-sample t test

Usage

ES.t.paired(md = NULL, sd = NULL, n = NULL, t = NULL, se = NULL, df = NULL, alternative = c("two.sided", "one.sided"))

Arguments

md

mean difference (e.g., mean(x-y))

sd

standard deviation of mean differences (e.g., sd(x-y))

n

number of paires

t

t statistic

se

standard error of mean differences

df

degree of freedom

alternative

The test is two sided or one sided

See Also

ES.t.one

ES.t.two

Examples

## md, sd -> d
ES.t.paired(md=-0.08062384,sd=1.401886)

## md,se -> d
ES.t.paired(md=-0.08062384,se=0.1982566,n=50)

## t, df -> d
ES.t.paired(t=-0.4067,df=49)

## t, n -> d
ES.t.paired(t=-0.4067,n=50)