Function reference • effectsize

Indices of Effect Size
`effectsize()`	Effect Size
`eta_squared()` `omega_squared()` `epsilon_squared()` `cohens_f()` `cohens_f_squared()`	Effect size for ANOVA
`eta_squared_posterior()`	Simulate Eta Squared from Posterior Predictive Distribution
`cohens_d()` `hedges_g()` `glass_delta()` `print(<effectsize_difference>)`	Effect size for differences
`phi()` `cohens_w()` `cramers_v()` `cohens_g()`	Effect size for contingency tables
Standardization
`standardize()`	Standardization (Z-scoring)
`standardize_parameters()` `standardize_posteriors()`	Parameters standardization
`standardize_info()`	Get Standardization Information
Scale and Transform
`change_scale()`	Rescale a numeric variable
`normalize()`	Normalize numeric variable to [0-1] range
`ranktransform()`	(Signed) rank transformation
Effect Size Conversion
From Test Statistics
`F_to_eta2()` `t_to_eta2()` `F_to_epsilon2()` `t_to_epsilon2()` `F_to_eta2_adj()` `t_to_eta2_adj()` `F_to_omega2()` `t_to_omega2()` `F_to_f()` `t_to_f()` `F_to_f2()` `t_to_f2()`	Convert test statistics (F, t) to indices of partial variance explained (partial Eta / Omega / Epsilon squared and Cohen's f)
`t_to_d()` `z_to_d()` `F_to_d()` `t_to_r()` `z_to_r()` `F_to_r()`	Convert test statistics (t, z, F) to effect sizes of differences (Cohen's d) or association (partial r)
`chisq_to_phi()` `chisq_to_cohens_w()` `chisq_to_cramers_v()` `phi_to_chisq()`	Conversion Chi-Squared to Phi or Cramer's V
Between Effect Sizes
`d_to_common_language()` `convert_d_to_common_language()`	Convert Standardized Mean Difference to Common Language Effect Sizes
`d_to_r()` `r_to_d()` `convert_d_to_r()` `convert_r_to_d()` `oddsratio_to_d()` `convert_oddsratio_to_d()` `logoddsratio_to_d()` `d_to_oddsratio()` `convert_d_to_oddsratio()` `oddsratio_to_r()` `convert_oddsratio_to_r()` `logoddsratio_to_r()` `r_to_oddsratio()` `convert_r_to_oddsratio()`	Convert between d, r and Odds ratio
`odds_to_probs()` `probs_to_odds()` `convert_odds_to_probs()` `convert_probs_to_odds()`	Convert between Odds and Probabilities
`oddsratio_to_riskratio()` `riskratio_to_oddsratio()`	Convert between Odds ratios and Risk ratios
Interpretation
`equivalence_test(<effectsize_table>)`	Test for Practical Equivalence
`interpret()`	Generic function for interpretation
`rules()` `is.rules()`	Interpretation Grid
`interpret_d()` `interpret_g()` `interpret_delta()`	Interpret standardized differences
`interpret_r()`	Interpret correlation
`interpret_omega_squared()` `interpret_eta_squared()` `interpret_epsilon_squared()`	Interpret ANOVA effect size
`interpret_parameters()`	Interpret of standardized slopes
`interpret_oddsratio()`	Interpret Odds ratio
`interpret_r2()`	Interpret coefficient of determination (R2)
`interpret_gfi()` `interpret_agfi()` `interpret_nfi()` `interpret_nnfi()` `interpret_cfi()` `interpret_rmsea()` `interpret_srmr()` `interpret_rfi()` `interpret_ifi()` `interpret_pnfi()`	Interpret of indices of CFA / SEM goodness of fit
`interpret_p()`	Interpret p-values
`interpret_bf()`	Interpret Bayes Factor (BF)
`interpret_ess()` `interpret_rhat()`	Interpret Bayesian diagnostic indices
`interpret_rope()`	Interpret Bayesian diagnostic indices
`interpret_direction()`	Interpret direction
Miscellaneous
`adjust()`	Adjust data for the effect of other variable(s)
`format_standardize()`	Transform a standardized vector into character
`sd_pooled()` `mad_pooled()`	Pooled Standard Deviation
`is_effectsize_name()`	Checks if character is of a supported effect size
`hardlyworking`	Workers' salary and other information

Reference

Indices of Effect Size

Standardization

Scale and Transform

Effect Size Conversion

From Test Statistics

Between Effect Sizes

Interpretation

Miscellaneous