USAge              package:latticeExtra              R Documentation

_U_S _n_a_t_i_o_n_a_l _p_o_p_u_l_a_t_i_o_n _e_s_t_i_m_a_t_e_s

_D_e_s_c_r_i_p_t_i_o_n:

     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.

_U_s_a_g_e:

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

_F_o_r_m_a_t:

     '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.

     '_A_g_e' a numeric vector, giving age in years

     '_S_e_x' a factor with levels 'Male' 'Female'

     '_Y_e_a_r' a numeric vector, giving year

     '_P_o_p_u_l_a_t_i_o_n' a numeric vector, giving population in millions

_D_e_t_a_i_l_s:

     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.

_S_o_u_r_c_e:

     <URL: 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.

_E_x_a_m_p_l_e_s:

     data(USAge.table)

