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Adds a new column called ConditionalProbDeath to the dataset that was input. This column represents the probability of death given the age group for each age group. In other words, the probability a person in a given age group will die before their next birthday.

Usage

conditional_death_prob(data, age, pop, deaths)

Arguments

data

The mortality dataset, includes an age grouping variable

age

The age grouping variable, must be cateogrical

pop

Population of each age group, must be numeric

deaths

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

Value

Data frame that was input with an added column, ConditionalProbDeath.

Examples

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