docs/stats.md

In GRousselet/rogme: Robust Graphical Methods For Group Comparisons

Statistical tests and measures of effect sizes in rogme

Guillaume A. Rousselet 2020-07-10

| Function | Description | | :-------------------------------------------------------- | :----------------------------------------------------------------------------------------- | | hd(x,q=.5) | Harrell-Davis quantile estimator | | hdseq(x, qseq=seq(0.1,0.9,0.1)) | Compute a sequence of quantiles | | allpdiff(x,y) | Calculate all pairwise differences between 2 vectors | | allpdiff_hdpbci(x,y,alpha=.05,q=.5,nboot=600) | Compute percentile bootstrap confidence interval of the median of all pairwise differences | | pb2gen(x,y,alpha=.05, nboot=2000, est=hd) | Compare two independent groups using the percentile bootstrap - default estimator = hd | | hdpbci(x,q=.5) | Compute percentile bootstrap confidence interval of the qth quantile | | quantiles_pbci(x,q=seq(.1,.9,.1),nboot=2000,alpha=0.05) | Compute percentile bootstrap confidence intervals of a sequence of quantiles | | ks(x,y) | Kolmogorov-Smirnov test statistic | | cid(x,y) | Cliff’s delta test | | pxgta(x,a=0) | Proportion of observations greater than a specified value | | pxgty(x,y) | Proportion of observations in x greater than observations in y |

GRousselet/rogme documentation built on Nov. 12, 2022, 4:38 a.m.