| G01ABF | Means, corrected sums of squares and cross-products, etc., two variables, from raw data |
| G01ADF | Mean, variance, skewness, kurtosis, etc., one variable, from frequency table |
| G01AEF | Frequency table from raw data |
| G01AFF | Two-way contingency table analysis, with χ2/Fisher's exact test |
| G01AGF | Lineprinter scatterplot of two variables |
| G01AHF | Lineprinter scatterplot of one variable against Normal scores |
| G01AJF | Lineprinter histogram of one variable |
| G01ALF | Computes a five-point summary (median, hinges and extremes) |
| G01AMF | Find quantiles of an unordered vector, real numbers |
| G01ANF | Calculates approximate quantiles from a data stream of known size |
| G01APF | Calculates approximate quantiles from a data stream of unknown size |
| G01ARF | Constructs a stem and leaf plot |
| G01ASF | Constructs a box and whisker plot |
| G01ATF | Computes univariate summary information: mean, variance, skewness, kurtosis |
| G01AUF | Combines multiple sets of summary information, for use after G01ATF |
| G01BJF | Binomial distribution function |
| G01BKF | Poisson distribution function |
| G01BLF | Hypergeometric distribution function |
| G01DAF | Normal scores, accurate values |
| G01DBF | Normal scores, approximate values |
| G01DCF | Normal scores, approximate variance-covariance matrix |
| G01DDF | Shapiro and Wilk's W test for Normality |
| G01DHF | Ranks, Normal scores, approximate Normal scores or exponential (Savage) scores |
| G01EAF | Computes probabilities for the standard Normal distribution |
| G01EBF | Computes probabilities for Student's t-distribution |
| G01ECF | Computes probabilities for χ2 distribution |
| G01EDF | Computes probabilities for F-distribution |
| G01EEF | Computes upper and lower tail probabilities and probability density function for the beta distribution |
| G01EFF | Computes probabilities for the gamma distribution |
| G01EMF | Computes probability for the Studentized range statistic |
| G01EPF | Computes bounds for the significance of a Durbin–Watson statistic |
| G01ERF | Computes probability for von Mises distribution |
| G01ETF | Landau distribution function |
| G01EUF | Vavilov distribution function |
| G01EYF | Computes probabilities for the one-sample Kolmogorov–Smirnov distribution |
| G01EZF | Computes probabilities for the two-sample Kolmogorov–Smirnov distribution |
| G01FAF | Computes deviates for the standard Normal distribution |
| G01FBF | Computes deviates for Student's t-distribution |
| G01FCF | Computes deviates for the χ2 distribution |
| G01FDF | Computes deviates for the F-distribution |
| G01FEF | Computes deviates for the beta distribution |
| G01FFF | Computes deviates for the gamma distribution |
| G01FMF | Computes deviates for the Studentized range statistic |
| G01FTF | Landau inverse function Ψ(x) |
| G01GBF | Computes probabilities for the non-central Student's t-distribution |
| G01GCF | Computes probabilities for the non-central χ2 distribution |
| G01GDF | Computes probabilities for the non-central F-distribution |
| G01GEF | Computes probabilities for the non-central beta distribution |
| G01HAF | Computes probability for the bivariate Normal distribution |
| G01HBF | Computes probabilities for the multivariate Normal distribution |
| G01HCF | Computes probabilities for the bivariate Student's t-distribution |
| G01HDF | Computes the probability for the multivariate Student's t-distribution |
| G01JCF | Computes probability for a positive linear combination of χ2 variables |
| G01JDF | Computes lower tail probability for a linear combination of (central) χ2 variables |
| G01KAF | Calculates the value for the probability density function of the Normal distribution at a chosen point |
| G01KFF | Calculates the value for the probability density function of the gamma distribution at a chosen point |
| G01KKF | Computes a vector of values for the probability density function of the gamma distribution |
| G01KQF | Computes a vector of values for the probability density function of the Normal distribution |
| G01MBF | Computes reciprocal of Mills' Ratio |
| G01MTF | Landau density function φ (λ) |
| G01MUF | Vavilov density function φV (λ ; κ,β2) |
| G01NAF | Cumulants and moments of quadratic forms in Normal variables |
| G01NBF | Moments of ratios of quadratic forms in Normal variables, and related statistics |
| G01PTF | Landau first moment function Φ1(x) |
| G01QTF | Landau second moment function Φ2(x) |
| G01RTF | Landau derivative function φ′(λ) |
| G01SAF | Computes a vector of probabilities for the standard Normal distribution |
| G01SBF | Computes a vector of probabilities for the Student's t-distribution |
| G01SCF | Computes a vector of probabilities for χ2 distribution |
| G01SDF | Computes a vector of probabilities for F-distribution |
| G01SEF | Computes a vector of probabilities for the beta distribution |
| G01SFF | Computes a vector of probabilities for the gamma distribution |
| G01SJF | Computes a vector of probabilities for the binomial distribution |
| G01SKF | Computes a vector of probabilities for the Poisson distribution |
| G01SLF | Computes a vector of probabilities for the hypergeometric distribution |
| G01TAF | Computes a vector of deviates for the standard Normal distribution |
| G01TBF | Computes a vector of deviates for Student's t-distribution |
| G01TCF | Computes a vector of deviates for χ2 distribution |
| G01TDF | Computes a vector of deviates for F-distribution |
| G01TEF | Computes a vector of deviates for the beta distribution |
| G01TFF | Computes a vector of deviates for the gamma distribution |
| G01WAF | Computes the mean and standard deviation using a rolling window |
| G01ZUF | Initialization routine for G01MUF and G01EUF |