Indices of Effect Size

effectsize()

Effect Size

cohens_d() hedges_g() glass_delta()

Effect size for differences

phi() cohens_w() cramers_v() oddsratio() riskratio() cohens_h() cohens_g()

Effect size for contingency tables

eta_squared() omega_squared() epsilon_squared() cohens_f() cohens_f_squared() eta_squared_posterior()

Effect size for ANOVA

rank_biserial() cliffs_delta() rank_epsilon_squared() kendalls_w()

Effect size for non-parametric (rank sum) tests

Standardization

standardize() unstandardize()

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 Standardized Mean Difference to Common Language Effect Sizes

d_to_r() r_to_d() oddsratio_to_d() logoddsratio_to_d() d_to_oddsratio() oddsratio_to_r() logoddsratio_to_r() r_to_oddsratio()

Convert between d, r and Odds ratio

eta2_to_f2() eta2_to_f() f2_to_eta2() f_to_eta2()

Convert between ANOVA effect sizes

odds_to_probs() 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_phi() interpret_cramers_v() interpret_rank_biserial()

Interpret correlation coefficient

interpret_omega_squared() interpret_eta_squared() interpret_epsilon_squared()

Interpret ANOVA effect size

interpret_kendalls_w()

Interpret Kendall's coefficient of concordance

interpret_oddsratio()

Interpret Odds ratio

interpret_r2()

Interpret coefficient of determination (R2)

interpret_parameters()

Interpret of standardized slopes

interpret_gfi() interpret_agfi() interpret_nfi() interpret_nnfi() interpret_cfi() interpret_rmsea() interpret_srmr() interpret_rfi() interpret_ifi() interpret_pnfi() interpret(<lavaan>) interpret(<performance_lavaan>)

Interpret of indices of CFA / SEM goodness of fit

interpret_direction()

Interpret direction

interpret_p()

Interpret p-values

interpret_bf()

Interpret Bayes Factor (BF)

interpret_pd()

Interpret Probability of Direction (pd)

interpret_rope()

Interpret Bayesian diagnostic indices

interpret_ess() interpret_rhat()

Interpret Bayesian diagnostic indices

Miscellaneous

adjust() data_adjust()

Adjust data for the effect of other variable(s)

sd_pooled() mad_pooled()

Pooled Standard Deviation

is_effectsize_name() get_effectsize_label()

Checks if character is of a supported effect size

hardlyworking

Workers' salary and other information

effectsize-CIs

Confidence Intervals

format_standardize()

Transform a standardized vector into character

plot(<effectsize_table>) plot(<equivalence_test_effectsize>) print(<effectsize_table>) format(<effectsize_table>) print(<effectsize_difference>)

Methods for effectsize tables