es: Any measure of variance explained such as Eta-, Epsilon-, Omega-, or R-Squared, partial or otherwise. See details.
f, f2: Cohen's f or f-squared.
Details
Any measure of variance explained can be converted to a corresponding Cohen's f via:
f2=1−η2η2η2=1+f2f2
If a partial Eta-Squared is used, the resulting Cohen's f is a partial-Cohen's f; If a less biased estimate of variance explained is used (such as Epsilon- or Omega-Squared), the resulting Cohen's f is likewise a less biased estimate of Cohen's f.
References
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd Ed.). New York: Routledge.
Steiger, J. H. (2004). Beyond the F test: Effect size confidence intervals and tests of close fit in the analysis of variance and contrast analysis. Psychological Methods, 9, 164-182.
See Also
eta_squared() for more details.
Other convert between effect sizes: d_to_r(), diff_to_cles, odds_to_probs(), oddsratio_to_riskratio(), w_to_fei()