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

Description Usage Arguments See Also Examples

View source: R/ES.t.two.R

Description

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

Usage

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ES.t.two(m1 = NULL, m2 = NULL, sd1 = NULL, sd2 = NULL, n1 = NULL,
  n2 = NULL, t = NULL, se1 = NULL, se2 = NULL, df = NULL,
  alternative = c("two.sided", "one.sided"))

Arguments

m1

mean of sample 1

m2

mean of sample 2

sd1

standard deviation of sample 1

sd2

standard deviation of sample 2

n1

number of observations in sample 1

n2

number of observations in sample 2

t

t statistic

se1

standard error of sample 1

se2

standard error of sample 2

df

degree of freedom

alternative

The test is two sided or one sided

See Also

ES.t.one

ES.t.paired

Examples

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## mean, sd, n -> d
ES.t.two(m1=13.5,m2=5.5,sd1=4.1833,sd2=3.02765,n1=14,n2=10)

## mean se, n -> d
ES.t.two(m1=13.5,m2=5.5,se1=1.118034,se2=0.9574271,n1=14,n2=10)

## t and n -> d
ES.t.two(n1=14,n2=10,t=5.4349)

## t, df and n -> d
ES.t.two(t = 5.4349, df = 21.982,n1=14,n2=10)

## t and df -> d (assume n1=n2)
ES.t.two(t = 5.4349, df = 21.982)

powerAnalysis documentation built on May 30, 2017, 3:50 a.m.