d_from_F_oneway: Obtain Cohen's _d_ from one-way F tests
In wviechtb/escalc: Package for Computing Effect Sizes

Description Usage Arguments Details Value References Examples

View source: R/d_from_F_oneway.R

This function converts F statistics from one-way tests to Cohen's d.

1	d_from_F_oneway(F1, n1, n2, df2, sign, bias_correct = FALSE)

`F1`	A numerical vector with one or more F values.
`n1, n2`	A numerical vector with the sample sizes of the two groups formed by the dichotomous variable. Note that the nth element of these vectors must correspond to the nth elements of the `F1` vector.
`df2`	A numerical vector with one or more values of degrees of freedom 2.
`sign`	Numerical vector to indicate the sign of the d-values (`+1` or `-1`).
`bias_correct`	Logical to indicate if the d-values should be bias-corrected. Can also be a vector.

The formula that is used is the following (see e.g. Thalheimer & Cook, 2002):

d= √{F (\frac{n_1 + n_2}{n_1 n_2}) (\frac{n_1 + n_2}{n_1 + n_2 - 2})}

A data frame with in the first column, Cohen's d values, and in the second column, the corresponding variances.

Thalheimer, W., & Cook, S. (2002, August). How to calculate effect sizes from published research articles: A simplified methodology.

Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009). Introduction to Meta-Analysis. Chichester, UK: John Wiley & Sons.

escalc::d_from_F_oneway(F1 = 2.828427,
                        n1 = 126,
                        n2 = 89,
                        sign = +1);
escalc::d_from_F_oneway