Description Usage Arguments Value Examples
This function calculates Cohen's D, an effect size measure. If sample sizes are not equal use the unbiased modifier.
1 | cohensD(meanA, meanB, sdA, sdB, nA, nB, unbiased = F, verbose = F)
|
meanA |
Mean of Group A |
meanB |
Mean of Group B |
sdA |
SD of Group A |
sdB |
SD of Group B |
nA |
Sample size of Group A |
nB |
Sample size of Group B |
unbiased |
If set to FALSE the sample size will be assumed to be equal |
verbose |
Extra printed information |
Cohen's D
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | GroupA <- rnorm(1000,10, 2)
GroupB <- rnorm(1000,20, 4)
meanGroupA <- mean(GroupA)
meanGroupB <- mean(GroupB)
sigmaGroupA <- sd(GroupA)
sigmaGroupB <- sd(GroupB)
cohensD(meanA = meanGroupA,
meanB = meanGroupB,
sdA = sigmaGroupA,
sdB = sigmaGroupB,
nA = 1000, nB = 1000,
unbiased = TRUE,
verbose = TRUE)
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