# Framingh: Cholesterol values of 62 subjects in the Framingham Heart... In BSDA: Basic Statistics and Data Analysis

## Description

Data for Exercises 1.56, 1.75, 3.69, and 5.60

## Usage

 `1` ```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

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20``` ```stem(Framingh\$cholest) boxplot(Framingh\$cholest, horizontal = TRUE) hist(Framingh\$cholest, freq = FALSE) lines(density(Framingh\$cholest)) mean(Framingh\$cholest > 200 & Framingh\$cholest < 240) ## Not run: 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() ## End(Not run) ```

BSDA documentation built on May 2, 2019, 6:39 a.m.