Package index • effectsize

Indices of Effect Size

effectsize(): Effect Sizes

Standardized differences

Effect sizes for comparing two groups

cohens_d() hedges_g() glass_delta(): Cohen's d and Other Standardized Differences

repeated_measures_d() rm_d(): Standardized Mean Differences for Repeated Measures

mahalanobis_d(): Mahalanobis' D (a multivariate Cohen's d)

rank_biserial() cliffs_delta(): Dominance Effect Sizes for Rank Based Differences

p_superiority() cohens_u1() cohens_u2() cohens_u3() p_overlap() vd_a() wmw_odds(): Cohen's Us and Other Common Language Effect Sizes (CLES)

means_ratio(): Ratio of Means

For contingency tables

Effect sizes for categorical outcomes

phi() cramers_v() tschuprows_t() cohens_w() fei() pearsons_c(): \(\phi\) and Other Contingency Tables Correlations

oddsratio() riskratio() cohens_h() arr() nnt(): Odds Ratios, Risk Ratios and Other Effect Sizes for 2-by-2 Contingency Tables

cohens_g(): Effect Size for Paired Contingency Tables

Comparing multiple groups

Effect sizes for ANOVA

eta_squared() omega_squared() epsilon_squared() cohens_f() cohens_f_squared() eta_squared_posterior(): \(\eta^2\) and Other Effect Size for ANOVA

rank_epsilon_squared() rank_eta_squared() kendalls_w(): Effect Size for Rank Based ANOVA

Standardized parameters

Functions from other packages relating to parameter standardization and perdictor dominance

standardize_parameters() standardize_posteriors(): Parameters standardization (from parameters)

standardize(<default>): Re-fit a model with standardized data (from datawizard)

standardize_info(): Get Standardization Information (from parameters)

dominance_analysis(): Dominance Analysis (from parameters)

r2_semipartial(): Semi-Partial (Part) Correlation Squared (\(\Delta R^2\))

Correlations

Correlations are a standardized effect size of association

correlation(): Correlation Analysis (from correlation)

cor_test(): Correlation test (from correlation)

Effect Size Conversion

From Test Statistics

Extract approximate effect sizes from their commonly associated test statistics

t_to_d() z_to_d() F_to_d() t_to_r() z_to_r() F_to_r(): Convert t, z, and F to Cohen's d or partial-r

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 F and t Statistics to partial-\(\eta^2\) and Other ANOVA Effect Sizes

chisq_to_phi() chisq_to_cohens_w() chisq_to_cramers_v() chisq_to_tschuprows_t() chisq_to_fei() chisq_to_pearsons_c() phi_to_chisq(): Convert \(\chi^2\) to \(\phi\) and Other Correlation-like Effect Sizes

Between Effect Sizes

Approximate effect sizes by converting between other related effect sizes

d_to_p_superiority() rb_to_p_superiority() rb_to_vda() d_to_u2() d_to_u1() d_to_u3() d_to_overlap() rb_to_wmw_odds(): Convert Standardized Differences to Common Language Effect Sizes

eta2_to_f2() eta2_to_f() f2_to_eta2() f_to_eta2(): Convert Between ANOVA Effect Sizes

w_to_fei() w_to_v() w_to_t() w_to_c() fei_to_w() v_to_w() t_to_w() c_to_w() v_to_t() t_to_v(): Convert Between Effect Sizes for Contingency Tables Correlations

d_to_r() r_to_d() oddsratio_to_d() logoddsratio_to_d() d_to_oddsratio() d_to_logoddsratio() oddsratio_to_r() logoddsratio_to_r() r_to_oddsratio() r_to_logoddsratio(): Convert Between d, r, and Odds Ratio

oddsratio_to_riskratio() oddsratio_to_arr() oddsratio_to_nnt() logoddsratio_to_riskratio() logoddsratio_to_arr() logoddsratio_to_nnt() riskratio_to_oddsratio() riskratio_to_arr() riskratio_to_logoddsratio() riskratio_to_nnt() arr_to_riskratio() arr_to_oddsratio() arr_to_logoddsratio() arr_to_nnt() nnt_to_oddsratio() nnt_to_logoddsratio() nnt_to_riskratio() nnt_to_arr(): Convert Between Odds Ratios, Risk Ratios and Other Metrics of Change in Probabilities

oddsratio_to_probs() logoddsratio_to_probs() riskratio_to_probs() arr_to_probs() nnt_to_probs(): Convert Between Metrics of Change in Probabilities and Probabilities

odds_to_probs() probs_to_odds(): Convert Between Odds and Probabilities

Interpretation

equivalence_test(<effectsize_table>): Test Effect Size for Practical Equivalence to the Null

interpret(): Generic Function for Interpretation

rules() is.rules(): Create an Interpretation Grid

interpret_bf(): Interpret Bayes Factor (BF)

interpret_cohens_d() interpret_hedges_g() interpret_glass_delta(): Interpret Standardized Differences

interpret_cohens_g(): Interpret Cohen's g

interpret_direction(): Interpret Direction

interpret_ess() interpret_rhat(): Interpret Bayesian Diagnostic Indices

interpret_gfi() interpret_agfi() interpret_nfi() interpret_nnfi() interpret_cfi() interpret_rfi() interpret_ifi() interpret_pnfi() interpret_rmsea() interpret_srmr() interpret(<lavaan>) interpret(<performance_lavaan>): Interpret of CFA / SEM Indices of Goodness of Fit

interpret_icc(): Interpret Intraclass Correlation Coefficient (ICC)

interpret_kendalls_w(): Interpret Kendall's Coefficient of Concordance W

interpret_oddsratio(): Interpret Odds Ratio

interpret_omega_squared() interpret_eta_squared() interpret_epsilon_squared() interpret_r2_semipartial(): Interpret ANOVA Effect Sizes

interpret_p(): Interpret p-Values

interpret_pd(): Interpret Probability of Direction (pd)

interpret_r() interpret_phi() interpret_cramers_v() interpret_rank_biserial() interpret_fei(): Interpret Correlation Coefficient

interpret_r2(): Interpret Coefficient of Determination (\(R^2\))

interpret_rope(): Interpret Bayesian Posterior Percentage in ROPE.

interpret_vif(): Interpret the Variance Inflation Factor (VIF)

Miscellaneous

sd_pooled() mad_pooled() cov_pooled(): Pooled Indices of (Co)Deviation

is_effectsize_name() get_effectsize_name() get_effectsize_label(): Checks for a Valid Effect Size Name

format_standardize(): Format a Standardized Vector

plot(<effectsize_table>) print(<effectsize_table>) print_md(<effectsize_table>) print_html(<effectsize_table>) format(<effectsize_table>) print(<effectsize_difference>): Methods for effectsize Tables

effectsize_options: effectsize options

Datasets

hardlyworking: Workers' Salary and Other Information

rouder2016: Jeff Rouder's Example Dataset for Repeated Measures

screening_test: Results from 2 Screening Tests

RCT_table: Fictional Results from a Workers' Randomized Control Trial

Music_preferences: Music Preference by College Major

Music_preferences2: Music Preference by College Major

Smoking_FASD: Frequency of FASD for Smoking Mothers

food_class: Classification of Foods