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Adds a new column called NumberToSurvive to the dataset that was input. NumberToSurvive represents the number of people living at the beginning of the given age interval, using an arbitrary 100,000 people for the first age group in the table.

Usage

number_to_survive(data, age, pop, deaths)

Arguments

data

The mortality dataset, includes an age grouping variable,

age

The age grouping variable, must be categorical

pop

Population of each age group, must be numeric

deaths

The midyear number of deaths at each age group, must be numeric

Value

Dataset that was input with added columns: ConditionalProbDeath, ConditionalProbLife, and NumberToSurvive.

Examples

# This function will add the ConditionalProbDeath, ConditionalProbLife, and
# NumberToSurvive columns to the dataset
number_to_survive(mortality2, "age_group", "population", "deaths")
#> # A tibble: 85 × 6
#>    age_group deaths population ConditionalProbDeath ConditionalProbLife
#>    <chr>      <dbl>      <dbl>                <dbl>               <dbl>
#>  1 < 1 year   23161    3970145             0.00582                0.994
#>  2 1 year      1568    3995008             0.000392               1.00 
#>  3 2 years     1046    3992154             0.000262               1.00 
#>  4 3 years      791    3982074             0.000199               1.00 
#>  5 4 years      640    3987656             0.000160               1.00 
#>  6 5 years      546    4032515             0.000135               1.00 
#>  7 6 years      488    4029655             0.000121               1.00 
#>  8 7 years      511    4029991             0.000127               1.00 
#>  9 8 years      483    4159114             0.000116               1.00 
#> 10 9 years      462    4178524             0.000111               1.00 
#> # ℹ 75 more rows
#> # ℹ 1 more variable: NumberToSurvive <dbl>