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effectsize

Indices of Effect Size and Standardized Parameters

Provide utilities to work with indices of effect size and standardized parameters for a wide variety of models (see list of supported models in insight; Lüdecke, Waggoner & Makowski (2019) <doi:10.21105/joss.01412>), allowing computation of and conversion between indices such as Cohen's d, r, odds, etc.

Functions (45)

F_to_eta2

Convert test statistics (F, t) to indices of partial variance explained (partial Eta / Omega / Epsilon squared and Cohen's f)

adjust

Adjust data for the effect of other variable(s)

change_scale

Rescale a numeric variable

chisq_to_phi

Conversion Chi-Squared to Phi or Cramer's V

cohens_d

Effect size for differences

d_to_common_language

Convert Standardized Mean Difference to Common Language Effect Sizes

d_to_r

Convert between d, r and Odds ratio

dot-factor_to_numeric

Safe transformation from factor/character to numeric

effectsize

Effect Size

effectsize-CIs

Confidence Intervals

equivalence_test.effectsize_table

Test for Practical Equivalence

es_info

List of effect size names

eta2_to_f2

Convert between ANOVA effect sizes

eta_squared

Effect size for ANOVA

format_standardize

Transform a standardized vector into character

hardlyworking

Workers' salary and other information

interpret

Generic function for interpretation

interpret_bf

Interpret Bayes Factor (BF)

interpret_d

Interpret standardized differences

interpret_direction

Interpret direction

interpret_ess

Interpret Bayesian diagnostic indices

interpret_gfi

Interpret of indices of CFA / SEM goodness of fit

interpret_kendalls_w

Interpret Kendall's coefficient of concordance

interpret_oddsratio

Interpret Odds ratio

interpret_omega_squared

Interpret ANOVA effect size

interpret_p

Interpret p-values

interpret_parameters

Interpret of standardized slopes

interpret_r

Interpret correlation

interpret_r2

Interpret coefficient of determination (R2)

interpret_rope

Interpret Bayesian diagnostic indices

is_effectsize_name

Checks if character is of a supported effect size

normalize

Normalize numeric variable to [0-1] range

odds_to_probs

Convert between Odds and Probabilities

oddsratio_to_riskratio

Convert between Odds ratios and Risk ratios

phi

Effect size for contingency tables

print.effectsize_table

Methods for effectsize tables

rank_biserial

Effect size for non-parametric (rank sum) tests

ranktransform

(Signed) rank transformation

reexports

Objects exported from other packages

rules

Interpretation Grid

sd_pooled

Pooled Standard Deviation

standardize

Standardization (Z-scoring)

standardize_info

Get Standardization Information

standardize_parameters

Parameters standardization

t_to_r

Convert test statistics (t, z, F) to effect sizes of differences (Cohen's d) or association (partial r)

effectsize

Indices of Effect Size and Standardized Parameters

v0.4.4-1

GPL-3

Authors

Mattan S. Ben-Shachar [aut, cre] (<https://orcid.org/0000-0002-4287-4801>), Dominique Makowski [aut] (<https://orcid.org/0000-0001-5375-9967>), Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>), Indrajeet Patil [ctb] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets), Ken Kelley [ctb], David Stanley [ctb]

Initial release

effectsize

Functions (45)

effectsize

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