| 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 /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 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 -distribution |
| G01ECF
| Computes probabilities for distribution |
| G01EDF
| Computes probabilities for -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 -distribution |
| G01FCF
| Computes deviates for the distribution |
| G01FDF
| Computes deviates for the -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 |
| G01GBF
| Computes probabilities for the non-central Student's -distribution |
| G01GCF
| Computes probabilities for the non-central distribution |
| G01GDF
| Computes probabilities for the non-central -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 -distribution |
| G01HDF
| Computes the probability for the multivariate Student's -distribution |
| G01JCF
| Computes probability for a positive linear combination of variables |
| G01JDF
| Computes lower tail probability for a linear combination of (central) 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 |
| G01MUF
| Vavilov density function |
| 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 |
| G01QTF
| Landau second moment function |
| G01RTF
| Landau derivative function |
| G01SAF
| Computes a vector of probabilities for the standard Normal distribution |
| G01SBF
| Computes a vector of probabilities for the Student's -distribution |
| G01SCF
| Computes a vector of probabilities for distribution |
| G01SDF
| Computes a vector of probabilities for -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 -distribution |
| G01TCF
| Computes a vector of deviates for distribution |
| G01TDF
| Computes a vector of deviates for -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 |