latticeExtra (version 0.6-28)

USAge: US national population estimates

Description

US national population estimates by age and sex from 1900 to 1979. The data is available both as a (3-dimensional) table and a data frame. The second form omits the 75+ age group to keep age numeric.

Usage

data(USAge.table)
data(USAge.df)

Format

USAge.table is a 3-dimensional array with dimensions

No	Name	Levels
1	Age	0, 1, 2, …, 74, 75+
2	Sex	Male, Female
3	Year	1900, 1901, …, 1979

Cells contain raw counts of estimated population.

USAge.df is a data frame with 12000 observations on the following 4 variables.

Age

a numeric vector, giving age in years

Sex

a factor with levels Male Female

Year

a numeric vector, giving year

Population

a numeric vector, giving population in millions

Details

The data for 1900-1929 are rounded to thousands. The data for 1900-1939 exclude the Armed Forces overseas and the population residing in Alaska and Hawaii. The data for 1940-1949 represent the resident population plus Armed Forces overseas, but exclude the population residing in Alaska and Hawaii. The data for 1950-1979 represent the resident population plus Armed Forces overseas, and also include the population residing in Alaska and Hawaii.

Examples

# NOT RUN {
data(USAge.df)
head(USAge.df)

## Figure 10.7 from Sarkar (2008)
xyplot(Population ~ Age | factor(Year), USAge.df,
       groups = Sex, type = c("l", "g"),
       auto.key = list(points = FALSE, lines = TRUE, columns = 2),
       aspect = "xy", ylab = "Population (millions)",
       subset = Year %in% seq(1905, 1975, by = 10))
# }