Cholesterol values of 62 subjects in the Framingham Heart Study

Data for Exercises 1.56, 1.75, 3.69, and 5.60

Framingh

Format

A data frame/tibble with 62 observations on one variable

cholest

a numeric vector with cholesterol values

Source

R. D'Agostino, et al., (1990) "A Suggestion for Using Powerful and Informative Tests for Normality," The American Statistician, 44 316-321.

References

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

Examples

stem(Framingh$cholest)
#> 
#>   The decimal point is 1 digit(s) to the right of the |
#> 
#>   16 | 7
#>   18 | 428
#>   20 | 020125678
#>   22 | 05560000122244668
#>   24 | 03678444668
#>   26 | 34777800288
#>   28 | 35
#>   30 | 008
#>   32 | 746
#>   34 | 3
#>   36 | 
#>   38 | 3
#> 
boxplot(Framingh$cholest, horizontal = TRUE)

hist(Framingh$cholest, freq = FALSE)
lines(density(Framingh$cholest))

mean(Framingh$cholest > 200 & Framingh$cholest < 240)
#> [1] 0.4032258

if (FALSE) {
library(ggplot2)
ggplot2::ggplot(data = Framingh, aes(x = factor(1), y = cholest)) + 
  geom_boxplot() +                 # boxplot
  labs(x = "") +                   # no x label  
  theme_bw() +                     # black and white theme  
  geom_jitter(width = 0.2) +       # jitter points
  coord_flip()                     # Create horizontal plot
ggplot2::ggplot(data = Framingh, aes(x = cholest, y = ..density..)) +
  geom_histogram(fill = "pink", binwidth = 15, color = "black") + 
  geom_density() + 
  theme_bw()
}