iris                package:datasets                R Documentation

Edgar Anderson's Iris Data

Description:

     This famous (Fisher's or Anderson's) iris data set gives the
     measurements in centimeters of the variables sepal length and
     width and petal length and width, respectively, for 50 flowers
     from each of 3 species of iris.  The species are _Iris setosa_,
     _versicolor_, and _virginica_.

Usage:

     iris
     iris3

Format:

     'iris' is a data frame with 150 cases (rows) and 5 variables
     (columns) named 'Sepal.Length', 'Sepal.Width', 'Petal.Length',
     'Petal.Width', and 'Species'.

     'iris3' gives the same data arranged as a 3-dimensional array of
     size 50 by 4 by 3, as represented by S-PLUS.  The first dimension
     gives the case number within the species subsample, the second the
     measurements with names 'Sepal L.', 'Sepal W.', 'Petal L.', and
     'Petal W.', and the third the species.

Source:

     Fisher, R. A. (1936) The use of multiple measurements in taxonomic
     problems. _Annals of Eugenics_, *7*, Part II, 179-188.

     The data were collected by Anderson, Edgar (1935). The irises of
     the Gaspe Peninsula, _Bulletin of the American Iris Society_,
     *59*, 2-5.

References:

     Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) _The New S
     Language_. Wadsworth & Brooks/Cole. (has 'iris3' as 'iris'.)

See Also:

     'matplot' some examples of which use 'iris'.

Examples:

     dni3 <- dimnames(iris3)
     ii <- data.frame(matrix(aperm(iris3, c(1,3,2)), ncol=4,
                             dimnames = list(NULL, sub(" L.",".Length",
                                             sub(" W.",".Width", dni3[[2]])))),
         Species = gl(3, 50, labels=sub("S", "s", sub("V", "v", dni3[[3]]))))
     all.equal(ii, iris) # TRUE

