openintro (version 1.7.1)

smoking: UK Smoking Data

Description

Survey data on smoking habits from the UK. The data set can be used for analyzing the demographic characteristics of smokers and types of tobacco consumed.

Usage

data(smoking)

Format

A data frame with 1691 observations on the following 12 variables.

gender

Gender with levels Female and Male.

age

Age.

maritalStatus

Marital status with levels Divorced, Married, Separated, Single and Widowed.

highestQualification

Highest education level with levels A Levels, Degree, GCSE/CSE, GCSE/O Level, Higher/Sub Degree, No Qualification, ONC/BTEC and Other/Sub Degree

nationality

Nationality with levels British, English, Irish, Scottish, Welsh, Other, Refused and Unknown.

ethnicity

Ethnicity with levels Asian, Black, Chinese, Mixed, White and Refused Unknown.

grossIncome

Gross income with levels Under 2,600, 2,600 to 5,200, 5,200 to 10,400, 10,400 to 15,600, 15,600 to 20,800, 20,800 to 28,600, 28,600 to 36,400, Above 36,400, Refused and Unknown.

region

Region with levels London, Midlands & East Anglia, Scotland, South East, South West, The North and Wales

smoke

Smoking status with levels No and Yes

amtWeekends

Number of cigarettes smoked per day on weekends.

amtWeekdays

Number of cigarettes smoked per day on weekdays.

type

Type of cigarettes smoked with levels Packets, Hand-Rolled, Both/Mainly Packets and Both/Mainly Hand-Rolled

Examples

# NOT RUN {
data(smoking)
str(smoking)
histPlot(smoking$amtWeekends)
histPlot(smoking$amtWeekdays)
table(smoking$smoke, smoking$gender)
mosaicplot(~ smoke + maritalStatus, data = smoking)
barplot(sort(table(smoking$maritalStatus), decreasing = TRUE))
# }