effectsize (version 0.4.0)

d_to_r: Convert between d, r and Odds ratio

Description

Enables a conversion between different indices of effect size, such as standardized difference (Cohen's d), correlation r or (log) odds ratios.

Usage

d_to_r(d, ...)
r_to_d(r, ...)
convert_d_to_r(d, ...)
convert_r_to_d(r, ...)
oddsratio_to_d(OR, log = FALSE, ...)
convert_oddsratio_to_d(OR, log = FALSE, ...)
logoddsratio_to_d(OR, log = TRUE, ...)
d_to_oddsratio(d, log = FALSE, ...)
convert_d_to_oddsratio(d, log = FALSE, ...)
oddsratio_to_r(OR, log = FALSE, ...)
convert_oddsratio_to_r(OR, log = FALSE, ...)
logoddsratio_to_r(OR, log = TRUE, ...)
r_to_oddsratio(r, log = FALSE, ...)
convert_r_to_oddsratio(r, log = FALSE, ...)

Arguments

d

Standardized difference value (Cohen's d).

...

Arguments passed to or from other methods.

r

Correlation coefficient r.

OR

Odds ratio values in vector or data frame.

log

Take in or output the log of the ratio (such as in logistic models).

Value

Converted index.

Details

• d to r: \(d = \frac{2 * r}{\sqrt{1 - r^2}}\)

• r to d: \(r = \frac{d}{\sqrt{d^2 + 4}}\)

• OR to d: \(d = \frac{\log(OR)\times\sqrt{3}}{\pi}\)

• d to OR: \(log(OR) = d * \frac{\pi}{\sqrt(3)}\)

Conversions between OR and r is done through these formulae.

When converting d to r, the resulting r is also called the binomial effect size display (BESD; Rosenthal et al., 1982).

References

• S<U+00E1>nchez-Meca, J., Mar<U+00ED>n-Mart<U+00ED>nez, F., & Chac<U+00F3>n-Moscoso, S. (2003). Effect-size indices for dichotomized outcomes in meta-analysis. Psychological methods, 8(4), 448.

• Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009). Converting among effect sizes. Introduction to meta-analysis, 45-49.

• Rosenthal, R., & Rubin, D. B. (1982). A simple, general purpose display of magnitude of experimental effect. Journal of educational psychology, 74(2), 166.

Examples

# NOT RUN {
r_to_d(0.5)
d_to_oddsratio(1.154701)
oddsratio_to_r(8.120534)

d_to_r(1)
r_to_oddsratio(0.4472136, log = TRUE)
oddsratio_to_d(1.813799, log = TRUE)

# }