effectsize (version 0.2.0)

percentage_to_d: General effect size conversion

Description

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

Usage

percentage_to_d(percentage, ...)
d_to_percentage(d, ...)
convert_percentage_to_d(percentage, ...)
convert_d_to_percentage(d, ...)
d_to_r(d, ...)
r_to_d(r, ...)
convert_d_to_r(d, ...)
convert_r_to_d(r, ...)
odds_to_d(odds, log = FALSE, ...)
convert_odds_to_d(odds, log = FALSE, ...)
d_to_odds(d, log = FALSE, ...)
convert_d_to_odds(d, log = FALSE, ...)
r_to_odds(r, log = FALSE, ...)
convert_r_to_odds(r, log = FALSE, ...)
odds_to_r(odds, log = FALSE, ...)
convert_odds_to_r(odds, log = FALSE, ...)
odds_to_probs(odds, log = FALSE, ...)
# S3 method for data.frame
odds_to_probs(odds, log = FALSE, select = NULL, exclude = NULL, ...)
probs_to_odds(probs, log = FALSE, ...)
convert_odds_to_probs(odds, log = FALSE, ...)
convert_probs_to_odds(probs, log = FALSE, ...)

Arguments

percentage

Percentage value (e.g., 0.01 for one percent).

...

Arguments passed to or from other methods.

d

Standardized difference value (Cohen's d).

r

Correlation coefficient r.

odds

Odds values in vector or dataframe.

log

Take in or output log odds (such as in logistic models).

select

When a dataframe is passed, character or list of of column names to be transformed.

exclude

When a dataframe is passed, character or list of column names to be excluded from transformation.

probs

Probability values.

Value

Converted index.

Details

• d to r: d = 2 * r / sqrt(1 - r^2)

• r to d: r = d / (sqrt(d^2 + 4))

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

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

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.

Examples

# NOT RUN {
r_to_d(0.5)
d_to_odds(d = 1.154701)
odds_to_r(odds = 8.120534)

d_to_r(d = 1)
r_to_odds(0.4472136, log = TRUE)
odds_to_d(1.813799, log = TRUE)
# }