Comparing Two Groups Using Various Descriptive Statistics
Plots for Two Variables
Bootstrap for Various Statistics
The difference between Huber's M-estimator of location
Quantile Differences
Sample Quantiles
Differences of Basic Descriptive Statistics
Convert List to Data Frame
Descriptive Statistics
Random Sample from G-H Distribution
Comparing Two Groups with Various Descriptive Statistics
Comparing Two Groups with Various Descriptive Statistics
Harrell-Davis Quantile Estimator
Inverse Normal Transformation Function
Levene Test for Homogeneity of Variances
Convert Long-Format Data to Wide-Format Data
Permutation Test on Long-Format Data
Convert Wide-Format Data to Long-Format Data
Comparing two independent or paired groups across a range of descriptive statistics, enabling the evaluation of potential differences in central tendency (mean, median), dispersion (variance, interquartile range), shape (skewness, kurtosis), and distributional characteristics (various quantiles). The analytical framework incorporates parametric t-tests, non-parametric Wilcoxon tests, permutation tests, and bootstrap resampling techniques to assess the statistical significance of observed differences.