| G05NDF
| Pseudorandom sample from an integer vector |
| G05NEF
| Pseudorandom sample, without replacement, unequal weights |
| G07DDF
| Computes a trimmed and winsorized mean of a single sample with estimates of their variance |
| G07EAF
| Robust confidence intervals, one-sample |
| G07EBF
| Robust confidence intervals, two-sample |
| G08AAF
| Sign test on two paired samples |
| G08ACF
| Median test on two samples of unequal size |
| G08AEF
| Friedman two-way analysis of variance on matched samples |
| G08AFF
| Kruskal–Wallis one-way analysis of variance on samples of unequal size |
| G08AHF
| Performs the Mann–Whitney test on two independent samples |
| G08AJF
| Computes the exact probabilities for the Mann–Whitney statistic, no ties in pooled sample |
| G08AKF
| Computes the exact probabilities for the Mann–Whitney statistic, ties in pooled sample |
| G08BAF
| Mood's and David's tests on two samples of unequal size |
| G13ABF
| Univariate time series, sample autocorrelation function |
| G13CAF
| Univariate time series, smoothed sample spectrum using rectangular, Bartlett, Tukey or Parzen lag window |
| G13CBF
| Univariate time series, smoothed sample spectrum using spectral smoothing by the trapezium frequency (Daniell) window |
| G13CCF
| Multivariate time series, smoothed sample cross spectrum using rectangular, Bartlett, Tukey or Parzen lag window |
| G13CDF
| Multivariate time series, smoothed sample cross spectrum using spectral smoothing by the trapezium frequency (Daniell) window |
| G13DMF
| Multivariate time series, sample cross-correlation or cross-covariance matrices |
| G13DNF
| Multivariate time series, sample partial lag correlation matrices, statistics and significance levels |