View source: R/CategoricalProximities.R

CategoricalProximities | R Documentation |

Proximities among individuals using nominal variables.

```
CategoricalProximities(Data, SUP = NULL, coefficient = "GOW", transformation = 3, ...)
```

`Data` |
A data frame containing categorical (nominal) variables |

`SUP` |
Supplementary data (Used to project supplementary individuals onto the PCoA configuration, for example) |

`coefficient` |
Similarity coefficient to use (see details) |

`transformation` |
Transformation of the similarity into a distance |

`...` |
Extra parameters |

The function calculates similarities and dissimilarities among a set ob ogjects characterized by a set of nominal variables. The function uses similarities and converts into dissimilarities using a variety of transformations controled by the user.

A list of Values

Jose Luis Vicente Villardon

dos Santos, T. R., & Zarate, L. E. (2015). Categorical data clustering: What similarity measure to recommend?. Expert Systems with Applications, 42(3), 1247-1260.

Boriah, S., Chandola, V., & Kumar, V. (2008). Similarity measures for categorical data: A comparative evaluation. red, 30(2), 3.

```
data(Doctors)
Dis=CategoricalProximities(Doctors, SUP=NULL, coefficient="GOW" , transformation=3)
pco=PrincipalCoordinates(Dis)
plot(pco, RowCex=0.7, RowColors=as.integer(Doctors[[1]]), RowLabels=as.character(Doctors[[1]]))
```

MultBiplotR documentation built on Nov. 21, 2023, 5:08 p.m.

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