R.A. Fishers famous data on Irises

Source: R/BSDA-package.R

Data for Examples 1.15 and 5.19

Irises

Format

A data frame/tibble with 150 observations on five variables

sepal_length

sepal length (in cm)

sepal_width

sepal width (in cm)

petal_length

petal length (in cm)

petal_width

petal width (in cm)

species

a factor with levels setosa, versicolor, and virginica

Source

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

References

Kitchens, L. J. (2003) Basic Statistics and Data Analysis. Pacific Grove, CA: Brooks/Cole, a division of Thomson Learning.

Examples


tapply(Irises$sepal_length, Irises$species, mean)
#>     setosa versicolor  virginica 
#>      5.006      5.936      6.588 
t.test(Irises$sepal_length[Irises$species == "setosa"], conf.level = 0.99)
#> 
#> 	One Sample t-test
#> 
#> data:  Irises$sepal_length[Irises$species == "setosa"]
#> t = 100.42, df = 49, p-value < 2.2e-16
#> alternative hypothesis: true mean is not equal to 0
#> 99 percent confidence interval:
#>  4.872406 5.139594
#> sample estimates:
#> mean of x 
#>     5.006 
#> 
hist(Irises$sepal_length[Irises$species == "setosa"], 
     main = "Sepal length for\n Iris Setosa",
     xlab = "Length (in cm)")

boxplot(sepal_length ~ species, data = Irises)