Indices of Effect Size and Standardized Parameters


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Documentation for package ‘effectsize’ version 0.3.3

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A C D E F G H I L M N O P R S T Z

-- A --

adjust Adjust data for the effect of other variable(s)

-- C --

change_scale Rescale a numeric variable
change_scale.data.frame Rescale a numeric variable
change_scale.grouped_df Rescale a numeric variable
change_scale.numeric Rescale a numeric variable
chisq_to_cramers_v Conversion between Effect sizes for Contingency Tables (Chi2, Phi, Cramer's V...)
chisq_to_phi Conversion between Effect sizes for Contingency Tables (Chi2, Phi, Cramer's V...)
cohens_d Effect size for differences
cohens_f Effect size for ANOVA
convert_d_to_common_language Convert Standardized Mean Difference to Common Language Effect Sizes
convert_d_to_odds Convert between _d_, _r_ and _Odds ratio_
convert_d_to_oddsratio Convert between _d_, _r_ and _Odds ratio_
convert_d_to_r Convert between _d_, _r_ and _Odds ratio_
convert_oddsratio_to_d Convert between _d_, _r_ and _Odds ratio_
convert_oddsratio_to_r Convert between _d_, _r_ and _Odds ratio_
convert_odds_to_d Convert between _d_, _r_ and _Odds ratio_
convert_odds_to_probs Convert between Odds and Probabilities
convert_odds_to_r Convert between _d_, _r_ and _Odds ratio_
convert_probs_to_odds Convert between Odds and Probabilities
convert_r_to_d Convert between _d_, _r_ and _Odds ratio_
convert_r_to_odds Convert between _d_, _r_ and _Odds ratio_
convert_r_to_oddsratio Convert between _d_, _r_ and _Odds ratio_
cramers_v Effect size for contingency tables

-- D --

d_to_common_language Convert Standardized Mean Difference to Common Language Effect Sizes
d_to_odds Convert between _d_, _r_ and _Odds ratio_
d_to_oddsratio Convert between _d_, _r_ and _Odds ratio_
d_to_r Convert between _d_, _r_ and _Odds ratio_

-- E --

effectsize Effect Size
epsilon_squared Effect size for ANOVA
equivalence_test.effectsize_table Test for Practical Equivalence
eta_squared Effect size for ANOVA
eta_squared_posterior Simulate Eta Squared from Posterior Predictive Distribution

-- F --

format_standardize Transform a standardized vector into character
F_to_d Convert test statistics (t, z, F) to effect sizes of differences (Cohen's d) or association (*partial* r)
F_to_epsilon2 Convert test statistics (F, t) to indices of *partial* variance explained (*partial* Eta / Omega / Epsilon squared and Cohen's f)
F_to_eta2 Convert test statistics (F, t) to indices of *partial* variance explained (*partial* Eta / Omega / Epsilon squared and Cohen's f)
F_to_eta2_adj Convert test statistics (F, t) to indices of *partial* variance explained (*partial* Eta / Omega / Epsilon squared and Cohen's f)
F_to_f Convert test statistics (F, t) to indices of *partial* variance explained (*partial* Eta / Omega / Epsilon squared and Cohen's f)
F_to_omega2 Convert test statistics (F, t) to indices of *partial* variance explained (*partial* Eta / Omega / Epsilon squared and Cohen's f)
F_to_r Convert test statistics (t, z, F) to effect sizes of differences (Cohen's d) or association (*partial* r)

-- G --

glass_delta Effect size for differences

-- H --

hedges_g Effect size for differences

-- I --

interpret Generic function for interpretation
interpret_agfi Interpret of indices of CFA / SEM fit
interpret_bf Interpret Bayes Factor (BF)
interpret_cfi Interpret of indices of CFA / SEM fit
interpret_d Interpret standardized differences
interpret_delta Interpret standardized differences
interpret_direction Interpret direction
interpret_ess Interpret Bayesian diagnostic indices
interpret_g Interpret standardized differences
interpret_gfi Interpret of indices of CFA / SEM fit
interpret_ifi Interpret of indices of CFA / SEM fit
interpret_nfi Interpret of indices of CFA / SEM fit
interpret_nnfi Interpret of indices of CFA / SEM fit
interpret_odds Interpret (log) Odds ratio
interpret_omega_squared Interpret ANOVA effect size
interpret_p Interpret p-values
interpret_parameters Interpret of standardized slopes
interpret_parameters.lm Interpret of standardized slopes
interpret_pnfi Interpret of indices of CFA / SEM fit
interpret_r Interpret correlation
interpret_r2 Interpret coefficient of determination (R2)
interpret_rfi Interpret of indices of CFA / SEM fit
interpret_rhat Interpret Bayesian diagnostic indices
interpret_rmsea Interpret of indices of CFA / SEM fit
interpret_rope Interpret Bayesian diagnostic indices
interpret_srmr Interpret of indices of CFA / SEM fit
is.rules Interpretation Grid
is_effectsize_name Checks if character is of a supported effect size

-- L --

logoddsratio_to_d Convert between _d_, _r_ and _Odds ratio_
logoddsratio_to_r Convert between _d_, _r_ and _Odds ratio_
logodds_to_d Convert between _d_, _r_ and _Odds ratio_
logodds_to_r Convert between _d_, _r_ and _Odds ratio_

-- M --

mad_pooled Pooled Standard Deviation

-- N --

normalize Normalize numeric variable to [0-1] range
normalize.data.frame Normalize numeric variable to [0-1] range
normalize.grouped_df Normalize numeric variable to [0-1] range
normalize.numeric Normalize numeric variable to [0-1] range

-- O --

oddsratio_to_d Convert between _d_, _r_ and _Odds ratio_
oddsratio_to_r Convert between _d_, _r_ and _Odds ratio_
odds_to_d Convert between _d_, _r_ and _Odds ratio_
odds_to_probs Convert between Odds and Probabilities
odds_to_probs.data.frame Convert between Odds and Probabilities
odds_to_r Convert between _d_, _r_ and _Odds ratio_
omega_squared Effect size for ANOVA

-- P --

phi Effect size for contingency tables
phi_to_chisq Conversion between Effect sizes for Contingency Tables (Chi2, Phi, Cramer's V...)
print.effectsize_difference Effect size for differences
probs_to_odds Convert between Odds and Probabilities
probs_to_odds.data.frame Convert between Odds and Probabilities

-- R --

ranktransform (Signed) rank transformation
ranktransform.data.frame (Signed) rank transformation
ranktransform.grouped_df (Signed) rank transformation
ranktransform.numeric (Signed) rank transformation
rules Interpretation Grid
r_to_d Convert between _d_, _r_ and _Odds ratio_
r_to_odds Convert between _d_, _r_ and _Odds ratio_
r_to_oddsratio Convert between _d_, _r_ and _Odds ratio_

-- S --

sd_pooled Pooled Standard Deviation
standardize Standardization (Z-scoring)
standardize.data.frame Standardization (Z-scoring)
standardize.default Standardization (Z-scoring)
standardize_info Get Standardization Information
standardize_parameters Parameters standardization
standardize_posteriors Parameters standardization

-- T --

t_to_d Convert test statistics (t, z, F) to effect sizes of differences (Cohen's d) or association (*partial* r)
t_to_epsilon2 Convert test statistics (F, t) to indices of *partial* variance explained (*partial* Eta / Omega / Epsilon squared and Cohen's f)
t_to_eta2 Convert test statistics (F, t) to indices of *partial* variance explained (*partial* Eta / Omega / Epsilon squared and Cohen's f)
t_to_eta2_adj Convert test statistics (F, t) to indices of *partial* variance explained (*partial* Eta / Omega / Epsilon squared and Cohen's f)
t_to_f Convert test statistics (F, t) to indices of *partial* variance explained (*partial* Eta / Omega / Epsilon squared and Cohen's f)
t_to_omega2 Convert test statistics (F, t) to indices of *partial* variance explained (*partial* Eta / Omega / Epsilon squared and Cohen's f)
t_to_r Convert test statistics (t, z, F) to effect sizes of differences (Cohen's d) or association (*partial* r)

-- Z --

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