Convert between d, r and Odds ratio
Enables a conversion between different indices of effect size, such as standardized difference (Cohen's d), correlation r or (log) odds ratios.
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, ...)
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). |
Conversions between OR and r is done through these formulae.
d to r: d = \frac{2 * r}{√{1 - r^2}}
r to d: r = \frac{d}{√{d^2 + 4}}
OR to d: d = \frac{\log(OR)\times√{3}}{π}
d to OR: log(OR) = d * \frac{π}{√(3)}
The conversion from d to r assumes equally sized groups. The resulting r is also called the binomial effect size display (BESD; Rosenthal et al., 1982).
Converted index.
Sánchez-Meca, J., Marín-Martínez, F., & Chacón-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),
Other convert between effect sizes:
d_to_common_language()
,
eta2_to_f2()
,
odds_to_probs()
,
oddsratio_to_riskratio()
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)
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