dataf.tecator {ddalpha} | R Documentation

## Functional Data Set Spectrometric Data (Tecator)

### Description

This dataset is a part of the original one which can be found at http://stat.cmu.edu. For each peace of finely chopped meat we observe one spectrometric curve which corresponds to the absorbance measured at 100 wavelengths. The peaces are split according to Ferraty and Vieu (2006) into two classes: with small (<20) and large fat content obtained by an analytical chemical processing.

### Usage

    dataf.tecator()

### Format

The functional data as a data structure.

`dataf`

  The functional data as a list of objects. Each object is characterized by two coordinates.

  `args`

    wavelength - a numeric vector of discretization points from 850 to 1050mm

  `vals`

    absorbance - a numeric vector of absorbance values

`labels`

  The classes of the objects: "small" (<20) and "large" fat content

### Author(s)

Febrero-Bande, M and Oviedo de la Fuente, Manuel

### Source

http://stat.cmu.edu

### References

Ferraty, F. and Vieu, P. (2006). Nonparametric functional data analysis: theory and practice. Springer.

### See Also

`dataf.*` for other functional data sets

`plot.functional` for building plots of functional data

### Examples

    ## load the dataset
    dataf = dataf.tecator()

    ## view the classes
    unique(dataf$labels)

    ## access the 5th point of the 2nd object
    dataf$dataf[[2]]$args[5]
    dataf$dataf[[2]]$vals[5]

    ## plot the data
    ## Not run:
    labels = unlist(dataf$labels)
    plot(dataf,
      xlab="Wavelengths", ylab="Absorbances",
      main=paste("Tecator: < 20 red (", sum(labels == "small"), "),",
                " >= 20 blue (", sum(labels == "large"), ")", sep=""),
        colors = c("blue", "red"))

    ## End(Not run)

[Package ddalpha version 1.3.1 Index]