Computes Pearson correlation between paired measurements from t statistic | cor.from.t |
Confidence interval for an average G-index agreement coefficient | meta.ave.agree |
Confidence interval for an average Pearson or partial correlation | meta.ave.cor |
Confidence interval for an average correlation of any type | meta.ave.cor.gen |
Confidence interval for an average Cronbach alpha reliability | meta.ave.cronbach |
Fisher confidence interval for an average correlation. | meta.ave.fisher |
Confidence interval for an average of any parameter | meta.ave.gen |
Confidence interval for an average effect size using a constant coefficient model | meta.ave.gen.cc |
Confidence interval for an average effect size using a random coefficient model | meta.ave.gen.rc |
Confidence interval for an average mean difference from paired-samples studies | meta.ave.mean.ps |
Confidence interval for an average mean difference from 2-group studies | meta.ave.mean2 |
Confidence interval for an average mean ratio from paired-samples studies | meta.ave.meanratio.ps |
Confidence interval for an average mean ratio from 2-group studies | meta.ave.meanratio2 |
Confidence interval for average odds ratio from 2-group studies | meta.ave.odds |
Confidence interval for an average slope coefficient in a general linear model or a path model. | meta.ave.path |
Confidence interval for an average point-biserial correlation | meta.ave.pbcor |
Forest plot for average effect sizes | meta.ave.plot |
Confidence interval for an average proportion difference in paired-samples studies | meta.ave.prop.ps |
Confidence interval for an average proportion difference in 2-group studies | meta.ave.prop2 |
Confidence interval for an average proportion ratio from 2-group studies | meta.ave.propratio2 |
Confidence interval for an average semipartial correlation | meta.ave.semipart |
Confidence interval for an average slope coefficient | meta.ave.slope |
Confidence interval for an average Spearman correlation | meta.ave.spear |
Confidence interval for an average standardized mean difference from paired-samples studies | meta.ave.stdmean.ps |
Confidence interval for an average standardized mean difference from 2-group studies | meta.ave.stdmean2 |
Confidence interval for an average variance | meta.ave.var |
Computes a chi-square test of effect-size homogeneity | meta.chitest |
Confidence interval for a linear contrast of G-index coefficients | meta.lc.agree |
Confidence interval for a linear contrast of effect sizes | meta.lc.gen |
Confidence interval for a linear contrast of mean differences from paired-samples studies | meta.lc.mean.ps |
Confidence interval for a linear contrast of means | meta.lc.mean1 |
Confidence interval for a linear contrast of mean differences from 2-group studies | meta.lc.mean2 |
Confidence interval for a log-linear contrast of mean ratios from paired-samples studies | meta.lc.meanratio.ps |
Confidence interval for a log-linear contrast of mean ratios from 2-group studies | meta.lc.meanratio2 |
Confidence interval for a log-linear contrast of odds ratios | meta.lc.odds |
Confidence interval for a linear contrast of proportion differences in paired-samples studies | meta.lc.prop.ps |
Confidence interval for a linear contrast of proportions | meta.lc.prop1 |
Confidence interval for a linear contrast of proportion differences in 2-group studies | meta.lc.prop2 |
Confidence interval for a log-linear contrast of proportion ratios from 2-group studies | meta.lc.propratio2 |
Confidence interval for a linear contrast of standardized mean differences from paired-samples studies | meta.lc.stdmean.ps |
Confidence interval for a linear contrast of standardized mean differences from 2-group studies | meta.lc.stdmean2 |
Meta-regression analysis for G agreement indices | meta.lm.agree |
Meta-regression analysis for Pearson or partial correlations | meta.lm.cor |
Meta-regression analysis for correlations | meta.lm.cor.gen |
Meta-regression analysis for Cronbach reliabilities | meta.lm.cronbach |
Meta-regression analysis for any type of effect size | meta.lm.gen |
Meta-regression analysis for paired-samples mean differences | meta.lm.mean.ps |
Meta-regression analysis for 1-group means | meta.lm.mean1 |
Meta-regression analysis for 2-group mean differences | meta.lm.mean2 |
Meta-regression analysis for paired-samples log mean ratios | meta.lm.meanratio.ps |
Meta-regression analysis for 2-group log mean ratios | meta.lm.meanratio2 |
Meta-regression analysis for odds ratios | meta.lm.odds |
Meta-regression analysis for paired-samples proportion differences | meta.lm.prop.ps |
Meta-regression analysis for 1-group proportions | meta.lm.prop1 |
Meta-regression analysis for 2-group proportion differences | meta.lm.prop2 |
Meta-regression analysis for proportion ratios | meta.lm.propratio2 |
Meta-regression analysis for semipartial correlations | meta.lm.semipart |
Meta-regression analysis for Spearman correlations | meta.lm.spear |
Meta-regression analysis for paired-samples standardized mean differences | meta.lm.stdmean.ps |
Meta-regression analysis for 2-group standardized mean differences | meta.lm.stdmean2 |
Confidence interval for a subgroup difference in average Pearson or partial correlations | meta.sub.cor |
Confidence interval for a subgroup difference in average Cronbach reliabilities | meta.sub.cronbach |
Confidence interval for a subgroup difference in average effect size | meta.sub.gen |
Confidence interval for a subgroup difference in average point-biserial correlations | meta.sub.pbcor |
Confidence interval for a subgroup difference in average semipartial correlations | meta.sub.semipart |
Confidence interval for a subgroup difference in average Spearman correlations | meta.sub.spear |
Compares and combines Pearson or partial correlations in original and follow-up studies | replicate.cor |
Compares and combines any type of correlation in original and follow-up studies | replicate.cor.gen |
Compares and combines effect sizes in original and follow-up studies | replicate.gen |
Compares and combines paired-samples mean differences in original and follow-up studies | replicate.mean.ps |
Compares and combines single mean in original and follow-up studies | replicate.mean1 |
Compares and combines 2-group mean differences in original and follow-up studies | replicate.mean2 |
Compares and combines odds ratios in original and follow-up studies | replicate.oddsratio |
Plot to compare estimates from original and follow-up studies | replicate.plot |
Compares and combines paired-samples proportion differences in original and follow-up studies | replicate.prop.ps |
Compares and combines single proportion in original and follow-up studies | replicate.prop1 |
Compares and combines 2-group proportion differences in original and follow-up studies | replicate.prop2 |
Compares and combines 2-group proportion ratios in original and follow-up studies | replicate.ratio.prop2 |
Compares and combines slope coefficients in original and follow-up studies | replicate.slope |
Compares and combines Spearman correlations in original and follow-up studies | replicate.spear |
Compares and combines paired-samples standardized mean differences in original and follow-up studies | replicate.stdmean.ps |
Compares and combines 2-group standardized mean differences in original and follow-up studies | replicate.stdmean2 |
Computes the standard error for the average of two Pearson correlations with no variables in common that have been estimated from the same sample | se.ave.cor.nonover |
Computes the standard error for the average of two Pearson correlations with one variable in common that have been estimated from the same sample | se.ave.cor.over |
Computes the standard error for the average of 2-group mean differences from two parallel measurement response variables in the same sample | se.ave.mean2.dep |
Computes the standard error for a biserial-phi correlation | se.biphi |
Computes the standard error for a biserial correlation | se.bscor |
Computes the standard error for Cohen's d | se.cohen |
Computes the standard error for a Pearson or partial correlation | se.cor |
Computes the standard error for a paired-samples mean difference | se.mean.ps |
Computes the standard error for a 2-group mean difference | se.mean2 |
Computes the standard error for a paired-samples log mean ratio | se.meanratio.ps |
Computes the standard error for a 2-group log mean ratio | se.meanratio2 |
Computes the standard error for a log odds ratio | se.odds |
Computes the standard error for a point-biserial correlation | se.pbcor |
Computes the estimate and standard error for a paired-samples proportion difference | se.prop.ps |
Computes the estimate and standard error for a 2-group proportion difference | se.prop2 |
Computes the standard error for a semipartial correlation | se.semipartial |
Computes a slope and standard error | se.slope |
Computes the standard error for a Spearman correlation | se.spear |
Computes the standard error for a paired-samples standardized mean difference | se.stdmean.ps |
Computes the standard error for a 2-group standardized mean difference | se.stdmean2 |
Computes the standard error for a tetrachoric correlation approximation | se.tetra |
Computes Cohen's d from pooled-variance t statistic | stdmean2.from.t |
Computes the cell frequencies in a 2x2 table using the marginal proportions and odds ratio | table.from.odds |
Computes the cell frequencies in a 2x2 table using the marginal proportions and phi correlation | table.from.phi |