case1101: Alcohol Metabolism in Men and Women

In Sleuth2: Data Sets from Ramsey and Schafer's "Statistical Sleuth (2nd Ed)"

Description

These data were collected on 18 women and 14 men to investigate a certain theory on why women exhibit a lower tolerance for alcohol and develop alcohol–related liver disease more readily than men.

Usage

case1101

Format

A data frame with 32 observations on the following 5 variables.

Subject

subject number in the study

Metabol

first–pass metabolism of alcohol in the stomach (in mmol/liter-hour)

Gastric

gastric alcohol dehydrogenase activity in the stomach (in mumol/min/g of tissue)

Sex

sex of the subject

Alcohol

whether the subject is alcoholic or not

Source

Ramsey, F.L. and Schafer, D.W. (2002). The Statistical Sleuth: A Course in Methods of Data Analysis (2nd ed), Duxbury.

Examples

str(case1101)

plot(Metabol~Gastric, case1101,
     pch=ifelse(Sex=="Female", 19, 21),
     col=ifelse(Alcohol=="Alcoholic", "red", "green"))
legend(1,12, pch=c(19,21,19,21), col=c("green","green", "red", "red"),
             c("Non-alcoholic Females", "Non-alcoholic Males",
               "Alcoholic Females", "Alcoholic Males"))

library(lattice)
xyplot(Metabol~Gastric|Sex*Alcohol, case1101)
xyplot(Metabol~Gastric, case1101, groups=Sex:Alcohol,
        auto.key=list(x=0.2, y=0.8, corner=c(0,0), border=TRUE))

Example output

'data.frame':	32 obs. of  5 variables:
 $ Subject: num  1 2 3 4 5 6 7 8 9 10 ...
 $ Metabol: num  0.6 0.6 1.5 0.4 0.1 ...
 $ Gastric: num  1 1.6 1.5 2.2 1.1 ...
 $ Sex    : Factor w/ 2 levels "Female","Male": 1 1 1 1 1 1 1 1 1 1 ...
 $ Alcohol: Factor w/ 2 levels "Alcoholic","Non-alcoholic": 1 1 1 2 2 2 2 2 2 2 ...

Sleuth2 documentation built on May 2, 2019, 7:01 a.m.