Analysis of a matrix of polytomous items using Nominal Logistic Biplots (NLB) according to Hernandez-Sanchez and Vicente-Villardon (2013). The NLB procedure extends the binary logistic biplot to nominal (polytomous) data. The individuals are represented as points on a plane and the variables are represented as convex prediction regions rather than vectors as in a classical or binary biplot. Using the methods from Computational Geometry, the set of prediction regions is converted to a set of points in such a way that the prediction for each individual is established by its closest "category point". Then interpretation is based on distances rather than on projections. In this package we implement the geometry of such a representation and construct computational algorithms for the estimation of parameters and the calculation of prediction regions.

Install the latest version of this package by entering the following in R:

`install.packages("NominalLogisticBiplot")`

Author | Julio Cesar Hernandez Sanchez, Jose Luis Vicente-Villardon |

Date of publication | 2014-05-02 07:13:20 |

Maintainer | Julio Cesar Hernandez Sanchez <juliocesar_avila@usal.es> |

License | GPL (>= 2) |

Version | 0.2 |

**afc:** Simple Correspondence Analysis

**Env:** Ecological Factors in Farm Management.

**Generators:** Generators (points) of the tesselation generated by a nominal...

**HairColor:** Demographic Data

**hermquad:** Gauss-Hermite quadrature

**multiquad:** Multidimensional Gauss-Hermite quadrature

**Nominal2Binary:** Transformation of a nominal variable into a binary indicator...

**NominalDistances:** Distances between indidividuals calculated from nominal...

**NominalLogBiplotEM:** Alternated EM algorithm for Nominal Logistic Biplots

**NominalLogisticBiplot:** Nominal Logistic Biplot for polytomous data

**NominalLogisticBiplot-package:** Nominal Logistic Biplot representations for polytomous data

**NominalMatrix2Binary:** Indicator matrix of a set of nominal variables.

**PCoA:** Principal Coordinates Analysis

**PhD_nomCyL:** Data set from Survey on Human Resources in Science and...

**plotNominalFittedVariable:** Function for plotting in the reduced space an unordered and...

**plot.nominal.logistic.biplot:** Graphical representation of a Nominal Logistic Biplot.

**plotNominalVariable:** Function for plotting in the reduced space an unordered...

**polylogist:** Multinomial logistic regression with ridge penalization

**RidgeMultinomialRegression:** Ridge Multinomial Logistic Regression

**summary.nominal.logistic.biplot:** Summary Method Function for Objects of Class...

afc | Man page |

Env | Man page |

Generators | Man page |

HairColor | Man page |

hermquad | Man page |

multiquad | Man page |

Nominal2Binary | Man page |

NominalDistances | Man page |

NominalLogBiplotEM | Man page |

NominalLogisticBiplot | Man page |

NominalLogisticBiplot-package | Man page |

NominalMatrix2Binary | Man page |

PCoA | Man page |

PhD_nomCyL | Man page |

plotNominalFittedVariable | Man page |

plot.nominal.logistic.biplot | Man page |

plotNominalVariable | Man page |

polylogist | Man page |

RidgeMultinomialRegression | Man page |

summary.nominal.logistic.biplot | Man page |

inst

inst/CITATION

NAMESPACE

data

data/HairColor.rda

data/PhD_nomCyL.rda

data/Env.rda

R

R/NominalDistances.R
R/plotNominalFittedVariable.r
R/RidgeMultinomialRegression.R
R/NominalMatrix2Binary.R
R/Generators.R
R/hermquad.R
R/NominalLogBiplotEM.R
R/plotNominalVariable.r
R/polylogist.R
R/PCoA.R
R/afc.R
R/auxLibrary.R
R/NominalLogisticBiplot.R
R/multiquad.R
R/Nominal2Binary.R
MD5

DESCRIPTION

man

man/PhD_nomCyL.Rd
man/plot.nominal.logistic.biplot.Rd
man/afc.Rd
man/NominalMatrix2Binary.Rd
man/plotNominalFittedVariable.Rd
man/HairColor.Rd
man/Nominal2Binary.Rd
man/hermquad.Rd
man/Generators.Rd
man/NominalLogisticBiplot.Rd
man/polylogist.Rd
man/NominalLogBiplotEM.Rd
man/summary.nominal.logistic.biplot.Rd
man/plotNominalVariable.Rd
man/NominalLogisticBiplot-package.Rd
man/NominalDistances.Rd
man/RidgeMultinomialRegression.Rd
man/Env.Rd
man/PCoA.Rd
man/multiquad.Rd
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