Package index
-
effectsize()
- Effect Sizes
-
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
-
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
-
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 (\(\Delta R^2\))
-
correlation()
- Correlation Analysis (from correlation)
-
cor_test()
- Correlation test (from correlation)
From Test Statistics
Extract approximate effect sizes from their commonly associated 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 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
-
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
-
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
-
odds_to_probs()
probs_to_odds()
- Convert Between Odds and Probabilities
-
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
-
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)
-
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
-
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
-
.es_aov_simple()
.es_aov_strata()
.es_aov_table()
effectsize
API
-
effectsize_options
effectsize
options