| USAge {latticeExtra} | R Documentation |
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.
data(USAge.table) data(USAge.df)
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.
Agea numeric vector, giving age in years
Sexa factor with levels Male Female
Yeara numeric vector, giving year
Populationa numeric vector, giving population in millions
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.
http://www.census.gov/popest/archives/pre-1980/PE-11.html U.S. Census Bureau, Population Division. Internet Release date: October 1, 2004
The data were available as individual files for year, with varying levels for the margins. The preprocessing steps used to reduce the data to the form given here are described in the scripts directory.
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))