iris2D: iris2D dataset

In noisemodel: Noise Models for Classification Datasets

iris2D dataset

Description

A 2-dimensional version of the well-known iris dataset. It maintains the attributes Petal.Length and Petal.Width, which give the measurements in centimeters of the petal length and width of iris flowers belonging to three different species (setosa, versicolor and virginica). Duplicate and contradictory samples are removed from the dataset, resulting in a total of 103 samples.

Usage

data(iris2D)

Format

A data.frame with 103 samples (rows) and 3 variables (columns) named Petal.Length, Petal.Width and Species.

Source

Data collected by E. Anderson (1935).

References

R. A. Fisher. The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7:179-188, 1936.

E. Anderson. The irises of the Gaspe Peninsula. Bulletin of the American Iris Society, 59:2-5, 1935.

See Also

sym_uni_ln, sym_uni_an, print.ndmodel, summary.ndmodel, plot.ndmodel

Examples

library(ggplot2)
library(RColorBrewer)

data(iris2D)

ggplot(data = iris2D, aes(x = iris2D[,1], y = iris2D[,2], color = iris2D[,3])) +
   geom_point(stroke = 0.5) +
   xlim(min(iris2D[,1]), max(iris2D[,1])) +
   ylim(min(iris2D[,2]), max(iris2D[,2])) +
   xlab(names(iris2D)[1]) + 
   ylab(names(iris2D)[2]) +
   labs(color='Species') +
   scale_color_manual(values = brewer.pal(3, "Dark2")) +
   theme(panel.border = element_rect(colour = "black", fill=NA),
         aspect.ratio = 1,
         axis.text = element_text(colour = 1, size = 12),
         legend.background = element_blank(),
         legend.box.background = element_rect(colour = "black"))

noisemodel documentation built on Oct. 17, 2022, 9:05 a.m.