On this Picostat.com statistics page, you will find information about the iris data set which pertains to Edgar Anderson's Iris Data. The iris data set is found in the datasets R package. You can load the iris data set in R by issuing the following command at the console data("iris"). This will load the data into a variable called iris. If R says the iris data set is not found, you can try installing the package by issuing this command install.packages("datasets") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the iris R data set. The size of this file is about 4,026 bytes.
Edgar Anderson's Iris Data
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.
iris is a data frame with 150 cases (rows) and 5 variables
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
Petal L., and
Petal W., and the third the species.
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,
Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988)
The New S Language.
Wadsworth & Brooks/Cole. (has
matplot some examples of which use
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[])))),
Species = gl(3, 50, labels = sub("S", "s", sub("V", "v", dni3[]))))
all.equal(ii, iris) # TRUE
Dataset imported from https://www.r-project.org.