my.iris {dprep} | R Documentation

## The Iris dataset

### Description

This is perhaps the best known database to be found in the pattern recognition literature. Fisher's paper is a classic in the field and is referenced frequently to this day. (See Duda & Hart, for example.) The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant. One class is linearly separable from the other 2; the latter are NOT linearly separable from each other.

### Usage

    data(my.iris)

### Format

A dataframe with 150 observations on the following 5 variables. A data frame with 150 observations on the following 5 variables.

V1
  sepal length in cm
V2
  sepal width in cm
V3
  petal length in cm
V4
  petal width in cm
V5
  class: Iris Setosa(1), Iris Versicolor(2),Iris Virginica(3)

### Source

The UCI Machine Learning Database Repository at:

- ftp://ftp.ics.uci.edu/pub/machine-learning-databases
- http://www.ics.uci.edu/~mlearn/MLRepository.html

### References

Fisher, R. A. (1936) The use of multiple measurements in taxonomic problems. Annals of Eugenics, Vol 7, Part II, 179–188.

### Examples

    #----Testing multivariate normality----
    data(my.iris)
    mardia(my.iris)

[Package dprep version 1.0 Index]