Man pages

`as.dudi`

is called by many functions (`dudi.pca`

, `dudi.coa`

, `dudi.acm`

, ...)
and not directly by the user. It creates duality diagrams.

`t.dudi`

returns an object of class '`dudi`

' where the rows are the columns and the columns are the rows
of the initial `dudi`

.

`is.dudi`

returns TRUE if the object is of class `dudi`

`redo.dudi`

computes again an analysis, eventually changing the number of kept axes. Used by other functions.

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`df` |
a data frame with |

`col.w` |
a numeric vector containing the row weights |

`row.w` |
a numeric vector containing the column weights |

`scannf` |
a logical value indicating whether the eigenvalues bar plot should be displayed |

`nf` |
if scannf FALSE, an integer indicating the number of kept axes |

`call` |
generally |

`type` |
a string of characters : the returned list will be of class |

`tol` |
a tolerance threshold for null eigenvalues (a value less than tol times the first one is considered as null) |

`full` |
a logical value indicating whether all non null eigenvalues should be kept |

`x, dudi, object` |
objects of class |

`...` |
further arguments passed to or from other methods |

`newnf` |
an integer indicating the number of kept axes |

`i,j` |
elements to extract (integer or empty): index of rows (i) and columns (j) |

as.dudi and all the functions that use it return a list with the following components :

`tab` |
a data frame with n rows and p columns |

`cw` |
column weights, a vector with n components |

`lw` |
row (lines) weights, a vector with p components |

`eig` |
eigenvalues, a vector with min(n,p) components |

`nf` |
integer, number of kept axes |

`c1` |
principal axes, data frame with p rows and nf columns |

`l1` |
principal components, data frame with n rows and nf columns |

`co` |
column coordinates, data frame with p rows and nf columns |

`li` |
row coordinates, data frame with n rows and nf columns |

`call` |
original call |

Daniel Chessel

Anne-Béatrice Dufour anne-beatrice.dufour@univ-lyon1.fr

Stéphane Dray stephane.dray@univ-lyon1.fr

Escoufier, Y. (1987)
The duality diagram : a means of better practical applications
In *Development in numerical ecology*, Legendre, P. & Legendre, L. (Eds.)
NATO advanced Institute, Serie G. Springer Verlag, Berlin, 139–156.

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