Heights in inches of the singers in the New York Choral Society in 1979. The data are grouped according to voice part. The vocal range for each voice part increases in pitch according to the following order: Bass 2, Bass 1, Tenor 2, Tenor 1, Alto 2, Alto 1, Soprano 2, Soprano 1.

singer

Format

A data frame with 235 observations on the following 2 variables.

height

Height in inches of the singers.

voice.part

(Unordered) factor with levels "Bass 2", "Bass 1", "Tenor 2", "Tenor 1", "Alto 2", "Alto 1", "Soprano 2", "Soprano 1".

Source

Chambers, J.M., W. S. Cleveland, B. Kleiner, and P. A. Tukey. (1983). Graphical Methods for Data Analysis. Chapman and Hall, New York.

Author

Documentation contributed by Kevin Wright.

References

Cleveland, William S. (1993) Visualizing Data. Hobart Press, Summit, New Jersey.

Examples

# Separate histogram for each voice part (Figure 1.2 from Cleveland)
histogram(~ height | voice.part,
          data = singer,
          aspect = 1,
          layout = c(2, 4), 
          nint = 15,
          xlab = "Height (inches)")


# Quantile-Quantile plot (Figure 2.11 from Cleveland)
qqmath(~ height | voice.part,
       data = singer,
       aspect = 1, 
       layout = c(2,4),
       prepanel = prepanel.qqmathline,
       panel = function(x, ...) {
         panel.grid()
         panel.qqmathline(x, ...)
         panel.qqmath(x, ..., grid = FALSE)
       },
       xlab = "Unit Normal Quantile",
       ylab="Height (inches)")