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 |

G01ATF | Computes univariate summary information: mean, variance, skewness, kurtosis |

G01WAF | Computes the mean and standard deviation using a rolling window |

G02BBF | Pearson product-moment correlation coefficients, all variables, casewise treatment of missing values |

G02BEF | Correlation-like coefficients (about zero), all variables, casewise treatment of missing values |

G02BHF | Pearson product-moment correlation coefficients, subset of variables, casewise treatment of missing values |

G02BLF | Correlation-like coefficients (about zero), subset of variables, casewise treatment of missing values |

G02CFF | Service routine for multiple linear regression, re-order elements of vectors and matrices |

G04BBF | Analysis of variance, randomized block or completely randomized design, treatment means and standard errors |

G04BCF | Analysis of variance, general row and column design, treatment means and standard errors |

G04CAF | Analysis of variance, complete factorial design, treatment means and standard errors |

G04DAF | Computes sum of squares for contrast between means |

G04DBF | Computes confidence intervals for differences between means computed by G04BBF or G04BCF |

G05TKF | Generates a vector of pseudorandom integers from a Poisson distribution with varying mean |

G07CAF | Computes $t$-test statistic for a difference in means between two Normal populations, confidence interval |

G07DDF | Computes a trimmed and winsorized mean of a single sample with estimates of their variance |

© The Numerical Algorithms Group Ltd, Oxford UK. 2013