Assignment: Use RStudio to generate advanced graphs (using the ggplot2 package) using the dataset below. ***** Do not forget to tell RStudio what fields are factors! ***** Graphs to Produce: ggplot2
iris R Documentation Edgar Anderson's Iris Data Desc rip tio n 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 . Usa ge iris iris3 F orm at 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. S ou rc e 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. Refe re n ces Becker , R. A., Chambers, J. M. and W ilks, A. R. (1988) The New S Language . W adsworth & Brooks/Cole. (has iris3 as iris .) See A ls o matplot some examples of which use iris . E xam ple s 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
