Description Usage Arguments Value

Recoding of the quantitative and of the qualitative data matrix.

1 |

`X.quanti` |
a numerical data matrix. |

`X.quali` |
a categorical data matrix. |

`rename.level` |
boolean, if TRUE all the levels of the qualitative variables are renamed as follows: "variable_name=level_name". |

`X` |
X.quanti and X.quali concatenated in a single matrix. |

`Y` |
X.quanti with missing values replaced with mean values concatenated with the indicator matrix of X.quali with missing values replaced by zeros. |

`Z` |
X.quanti standardized (centered and reduced by standard deviations) concatenated with the indicator matrix of X.quali centered and reduced with the square roots of the relative frequencies of the categories. |

`W` |
X.quanti standardized (centered and reduced by standard deviations) concatenated with the indicator matrix of X.quali centered. |

`n` |
the number of observations. |

`p` |
the total number of variables |

`p1` |
the number of quantitative variables |

`p2` |
the number of qualitative variables |

`g` |
the means of the columns of Y |

`s` |
the standard deviations of the columns of Y |

`G` |
The indicator matix of X.quali with missing values replaced by 0 |

`Gcod` |
The indicator matix G reduced with the square roots of the relative frequencies of the categories |

PCAmixdata documentation built on Nov. 17, 2017, 7:38 a.m.

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