Description Usage Arguments Value Examples

This function returns a dataframe with a complete dataset, where the missing values are imputed using a bi-objective kNN method. It assumes that the class variable is complete and its name is known, and the rest of the variables are numerical.

1 2 3 4 5 6 7 8 | ```
biokNN.impute(
data,
className,
nIter = 10,
weight = 0.5,
k = 10,
distance = "gower"
)
``` |

`data` |
A dataframe with missing values |

`className` |
name of the variable that contains the classes |

`nIter` |
number of iterations, default = 10 |

`weight` |
weight of the kNN values in the objective function, default = 0.5 |

`k` |
number of nearest neighbours, default = 10 |

`distance` |
distance function used to get the k-nearest neighbors |

A dataframe with the imputed data

1 2 3 4 5 6 7 | ```
data(data.example)
complete.data <- biokNN.impute(data.example,
className = "class",
nIter = 10,
weight = 0.9,
k = 15,
distance = "gower")
``` |

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