# An Automatic Suite for Estimation of Various Effect Size Measures

## Documentation for package ‘metaConvert’ version 2.0.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

A C D E M P R S

metaConvert-package | metaConvert: An R Package Dedicated to Automated Effect Size Calculations

## -- A --

aggregate_df | Aggregate a dataframe containing dependent effect sizes
as.data.frame.metaConvert | Convert a "metaConvert" object to a dataframe

## -- C --

compare_df | Flag the differences between two dataframes.
compute_sdc | Compute Smallest Detectable Change (SDC) from SEM
compute_sem | Compute Standard Error of Measurement (SEM) from reliability and SD
convert_df | Automatically compute effect sizes from a well formatted dataset

## -- D --

data_extraction_sheet | Data extraction sheet generator
df.compare1 | Fictitious dataset 1
df.compare2 | Fictitious dataset 2
df.haza | Meta-analytic dataset inspired from Haza and colleagues (2024)
df.psychom | Simulated dataset for a COSMIN-based systematic review of PROMs
df.short | Short version of the df.haza dataset

## -- E --

es_disattenuate | Disattenuate (correct for unreliability) a correlation coefficient
es_from_2x2 | Convert a 2x2 table into several effect size measures
es_from_2x2_prop | Convert the proportion of occurrence of a binary event in two independent groups into several effect size measures
es_from_2x2_sum | Convert a table with the number of cases and row marginal sums into several effect size measures
es_from_ancova_f | Convert a F-statistic obtained from an ANCOVA model into several effect size measures.
es_from_ancova_f_pval | Convert a two-tailed p-value of an ANCOVA t-test into several effect size measures.
es_from_ancova_md_ci | Convert an adjusted mean difference and adjusted standard deviation between two independent groups obtained from an ANCOVA model into several effect size measures
es_from_ancova_md_pval | Convert an adjusted mean difference and adjusted standard deviation between two independent groups obtained from an ANCOVA model into several effect size measures
es_from_ancova_md_sd | Convert an adjusted mean difference and adjusted standard deviation between two independent groups obtained from an ANCOVA model into several effect size measures
es_from_ancova_md_se | Convert an adjusted mean difference and standard error between two independent groups obtained from an ANCOVA model into several effect size measures
es_from_ancova_means_ci | Convert means and 95% CIs of two independent groups obtained from an ANCOVA model into several effect size measures
es_from_ancova_means_sd | Convert means and standard deviations of two independent groups obtained from an ANCOVA model into several effect size measures
es_from_ancova_means_sd_pooled_adj | Convert means and adjusted pooled standard deviation of two independent groups obtained from an ANCOVA model into several effect size measures
es_from_ancova_means_sd_pooled_crude | Convert adjusted means obtained from an ANCOVA model and crude pooled standard deviation of two independent groups into several effect size measures
es_from_ancova_means_se | Convert means and standard errors of two independent groups obtained from an ANCOVA model into several effect size measures
es_from_ancova_t | Convert a t-statistic obtained from an ANCOVA model into several effect size measures.
es_from_ancova_t_pval | Convert a two-tailed p-value of an ANCOVA t-test into several effect size measures.
es_from_anova_f | Convert a one-way independent ANOVA F-value to several effect size measures
es_from_anova_pval | Convert a p-value from a one-way independent ANOVA to several effect size measures
es_from_beta_std | Convert a standardized regression coefficient and the standard deviation of the dependent variable into several effect size measures
es_from_beta_unstd | Convert an unstandardized regression coefficient and the standard deviation of the dependent variable into several effect size measures
es_from_cases_time | Convert the number of cases and the person-time of disease-free observation in two independent groups into an incidence rate ratio (IRR)
es_from_chisq | Convert a chi-square value to several effect size measures
es_from_chisq_pval | Convert a p-value of a chi-square to several effect size measures
es_from_cohen_d | Convert a Cohen's d value to several effect size measures
es_from_cohen_d_adj | Convert an adjusted Cohen's d value to several effect size measures
es_from_cronbach_alpha | Convert Cronbach's alpha into an effect size measure
es_from_etasq | Convert an eta-squared value to various effect size measures
es_from_etasq_adj | Convert an adjusted eta-squared value (i.e., from an ANCOVA) to various effect size measures
es_from_fisher_z | Convert a Fisher's z (r-to-z transformation) to several effect size measures
es_from_hedges_g | Convert a Hedges' g value to other effect size measures (G, OR, COR)
es_from_icc | Convert an intraclass correlation coefficient (ICC) into an effect size measure
es_from_linreg_b_ci | Convert an unstandardized regression coefficient and its confidence interval into several effect size measures
es_from_linreg_b_pval | Convert an unstandardized regression coefficient and its p-value into several effect size measures
es_from_linreg_b_se | Convert an unstandardized regression coefficient and its standard error into several effect size measures
es_from_linreg_t | Convert a t-statistic from a linear regression model to several effect size measures
es_from_logreg_t | Convert an odds ratio or risk ratio and a Wald t-statistic from a regression model into several effect size measures
es_from_md_ci | Convert a mean difference between two independent groups and 95% CI into several effect size measures
es_from_md_pval | Convert a mean difference between two independent groups and its p-value into several effect size measures
es_from_md_sd | Convert a mean difference between two independent groups and standard deviation into several effect size measures
es_from_md_se | Convert a mean difference between two independent groups and its standard error into several effect size measures
es_from_means_ci | Convert means and 95% CI of two independent groups several effect size measures
es_from_means_ci_pre_post | Convert pre-post means of two independent groups into various effect size measures
es_from_means_ci_pre_post_single_group | Convert pre-post means and 95% CI of a single group into standard effect size measures
es_from_means_sd | Convert means and standard deviations of two independent groups into several effect size measures
es_from_means_sd_pooled | Convert means of two groups and the pooled standard deviation into several effect size measures
es_from_means_sd_pre_post | Convert pre-post means of two independent groups into various effect size measures
es_from_means_sd_pre_post_single_group | Convert pre-post means of a single group into standard effect size measures
es_from_means_se | Convert means and standard errors of two independent groups several effect size measures
es_from_means_se_pre_post | Convert pre-post means of two independent groups into various effect size measures
es_from_means_se_pre_post_single_group | Convert pre-post means and standard errors of a single group into standard effect size measures
es_from_mean_change_ci | Convert mean changes and 95% CI of two independent groups into standard effect size measures
es_from_mean_change_ci_single_group | Convert mean change and 95% CI of a single group into standard effect size measures
es_from_mean_change_pval | Convert mean changes and p-values of two independent groups into standard effect size measures
es_from_mean_change_pval_single_group | Convert mean change and p-value of a single group into standard effect size measures
es_from_mean_change_sd | Convert mean changes and standard deviations of two independent groups into standard effect size measures
es_from_mean_change_sd_single_group | Convert mean change and standard deviation of a single group into standard effect size measures
es_from_mean_change_se | Convert mean changes and standard errors of two independent groups into standard effect size measures
es_from_mean_change_se_single_group | Convert mean change and standard error of a single group into standard effect size measures
es_from_med_min_max | Convert median, quartiles, and range of two independent groups into several effect size measures
es_from_med_min_max_quarts | Convert median, range and interquartile range of two independent groups into several effect size measures
es_from_med_quarts | Convert median and interquartile range of two independent groups into several effect size measures
es_from_or | Convert an odds ratio value to several effect size measures
es_from_or_ci | Convert an odds ratio value and its 95% confidence interval to several effect size measures
es_from_or_pval | Convert an odds ratio value and its standard error to several effect size measures
es_from_or_se | Convert an odds ratio value and its standard error into several effect size measures
es_from_paired_f | Convert two paired ANOVA f value of two independent groups into several effect size measures
es_from_paired_f_pval | Convert two paired ANOVA f p-value of two independent groups into several effect size measures
es_from_paired_t | Convert two paired t-test value of two independent groups into several effect size measures
es_from_paired_t_pval | Convert two paired t-test p-value obtained from two independent groups into several effect size measures
es_from_paired_t_single_group | Convert paired t-test statistic from a single group into standard effect size measures
es_from_pearson_r | Convert a Pearson's correlation coefficient to several effect size measures
es_from_phi | Convert a phi value to several effect size measures
es_from_plot_ancova_means | Converts the means and bounds of an error bar (generally extracted from a plot) into four effect measures (SMD, MD, OR, COR)
es_from_plot_means | Converts the means and bounds of an error bar (generally extracted from a plot) into four effect measures (SMD, MD, OR, COR)
es_from_prop_single_group | Convert single-group proportion into an effect size measure
es_from_prop_single_group_counts | Convert single-group case counts into a proportion effect size measure
es_from_pt_bis_r | Convert a point-biserial correlation coefficient into several effect size measures
es_from_pt_bis_r_pval | Convert a p-value of a point-biserial correlation coefficient into several effect size measures
es_from_rd_ci | Convert a risk difference value and its 95% confidence interval to several effect size measures
es_from_rd_pval | Convert a risk difference value and its p-value to several effect size measures
es_from_rd_se | Convert a risk difference value and its standard error into several effect size measures
es_from_rr_ci | Convert a risk ratio value and 95% confidence interval to various effect size measures
es_from_rr_pval | Convert a risk ratio value and its p-value to various effect size measures
es_from_rr_se | Convert a risk ratio value and standard error to various effect size measures
es_from_spearman_rho | Convert a Spearman's rank correlation coefficient to several effect size measures
es_from_student_t | Convert a Student's t-test value to several effect size measures
es_from_student_t_pval | Convert a Student's t-test p-value to several effect size measures
es_from_user_adj | Directly input an adjusted effect size value + variance, with optional conversion
es_from_user_crude | Directly input a crude effect size value + variance, with optional conversion
es_variab_from_means_ci | Title
es_variab_from_means_sd | Convert means and/or standard deviations of two independent groups into two effect measures (VR/CVR)
es_variab_from_means_se | Convert means and/or standard errors of two independent groups into two effect measures (VR/CVR)

## -- M --

metaConvert | metaConvert: An R Package Dedicated to Automated Effect Size Calculations

## -- P --

pool_arms | Pool or split arms in multi-arm trials
print.metaConvert | Print a summary of an object of class "metaConvert"

## -- R --

reliability_change_score | Compute change-score reliability

## -- S --

see_input_data | Overview of effect size measures generated from each type of input data
summary.metaConvert | Synthesize information of an object of class "metaConvert" into a dataframe