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Function | Purpose |
---|---|

`aregImpute` |
Multiple imputation using generalized additive models |

`dataRep` |
Representativeness of observations in a data set |

`find.matches` |
Find close matches |

`mApply` |
Summarize scalars or matrices by cross-classification |

`pc1` |
Compute and show coefficients (on original scale) first principal component |

`rm.boot` |
Bootstrap repeated measurements with approximate simultaneous confidence bands for profiles |

`summarize` |
Summarize scalars or matrices by cross-classification |

`summary.formula` |
Descriptive statistics, including multiple-number summaries of multiple variables |

`transace` |
Additive regression and transformation of a matrix of variables |

`transcan` |
Nonlinear principal components using canonical variates, data reduction, and single imputation |

`varclus` |
Clustering of variables |

`mApply`

, `summarize`

, and `summary.formula`

can compute multivariate summary statistics on univariate and multivariate data. Edit | Attach | Print version | History: r2 < r1 | Backlinks | View wiki text | Edit wiki text | More topic actions

Topic revision: r2 - 14 Dec 2005, FrankHarrell

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