Edgar Anderson's Iris Data in long format.

iris_long

Format

A data frame with 600 rows and 5 variables

  • id. Dummy identity number for each flower (150 flowers in total).

  • Species. The species are Iris setosa, versicolor, and virginica.

  • condition. Factor giving a detailed description of the attribute (Four levels: "Petal.Length", "Petal.Width", "Sepal.Length", "Sepal.Width").

  • attribute. What attribute is being measured ("Sepal" or "Pepal").

  • measure. What aspect of the attribute is being measured ("Length" or "Width").

  • value. Value of the measurement.

Details

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.

This is a modified dataset from datasets package.

Examples

dim(iris_long)
#> [1] 600 6
head(iris_long)
#> # A tibble: 6 x 6 #> id Species condition attribute measure value #> <int> <fct> <fct> <fct> <fct> <dbl> #> 1 1 setosa Sepal.Length Sepal Length 5.1 #> 2 2 setosa Sepal.Length Sepal Length 4.9 #> 3 3 setosa Sepal.Length Sepal Length 4.7 #> 4 4 setosa Sepal.Length Sepal Length 4.6 #> 5 5 setosa Sepal.Length Sepal Length 5 #> 6 6 setosa Sepal.Length Sepal Length 5.4
dplyr::glimpse(iris_long)
#> Rows: 600 #> Columns: 6 #> $ id <int> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17... #> $ Species <fct> setosa, setosa, setosa, setosa, setosa, setosa, setosa, s... #> $ condition <fct> Sepal.Length, Sepal.Length, Sepal.Length, Sepal.Length, S... #> $ attribute <fct> Sepal, Sepal, Sepal, Sepal, Sepal, Sepal, Sepal, Sepal, S... #> $ measure <fct> Length, Length, Length, Length, Length, Length, Length, L... #> $ value <dbl> 5.1, 4.9, 4.7, 4.6, 5.0, 5.4, 4.6, 5.0, 4.4, 4.9, 5.4, 4....