Census data sets for the expected survival and person years functions.
total United States population, by age and sex, 1940 to 2012.
United States population, by age, sex and race, 1940 to 2012. Race is white, nonwhite, or black. For 1960 and 1970 the black population values were not reported separately, so the nonwhite values were used.
total Minnesota population, by age and sex, 1970 to 2004.
Each of these tables contains the daily hazard rate for a matched subject from the population, defined as -\log(1-q)/365.25 where q is the 1 year probability of death as reported in the original tables from the US Census. For age 25 in 1970, for instance, p = 1-q is is the probability that a subject who becomes 25 years of age in 1970 will achieve his/her 26th birthday. The tables are recast in terms of hazard per day entirely for computational convenience.
Each table is stored as an array, with additional attributes, and can be subset and manipulated as standard R arrays. The attributes are
dimnames: a standard list of R dimnames. For an categorical
dimension such as
sex, user's data can be numeric or match
any unique subset of the dimnames, e.g. if the dimnames are
male/female then "m" and "f" suffice.
dimid: user variables are matched to dimensions by name.
There can either be a
dimid attribute containing those names,
or the dimnames can be a named list.
type: a vector with one element per dimension and values of
1=numeric, 2= categorical, 3= date, and 4= date margin of a US
ratetable. In the
survexp.us object the first dimension of age
is numeric, the second of sex is categorical, and calendar year is of
cutpoints: a list with one element per dimension. Elements should be NULL for categorical dimensions, and otherwise they contain the starting value for each column.
summary: a optional function that is called with the user's data and creates a summary of it, e.g., "age ranges from 10.3 to 19.5 years".
All numeric dimensions of a rate table must be in the same units.
survexp.us rate table contains daily hazard rates, the age
cutpoints are in days, and the calendar year cutpoints are a Date.
survexp.uswhite <- survexp.usr[,,"white",]
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