Creates Tables 5.6 & 5.7

Table 5.6 Deaths by age and sex of decedent (urban areas)

Table 5.7 Deaths by age and sex of decedent (rural areas)

Variables needed per record:

- `dodyr`: Year of death.

- `death2r`: Rural-Urban Identifier. Optional.

- `death2c`: Sex of the deceased.

- `death2b`: Age of the deceased. Ideally in a grouped format.

Usage

create_t5.6_and_t5.7(
  data,
  ru_filter = NULL,
  age_var,
  date_var = "dodyr",
  data_year = NA,
  tablename = "Table_5_6",
  output_path = NULL
)

Arguments

data

Death records data frame.

ru_filter

Type of region to filer by (urban/rural). Optional.

age_var

Age of deceased column of the dataframe.

date_var

Event year column of the dataframe. Defaults to "dodyr".

data_year

The year to report on. Defaults to the last in the data.

tablename

Name of the table to be saved as a csv file. Optional.

output_path

The path to export the generated csv table. Optional.

Value

A data frame of tabulated results

Examples

death_data <- construct_sample_death_data()
death_data <- construct_year(death_data, date_col = "death1a", year_col = "dodyr")
death_data <- construct_age(death_data, dob_col = "death2a", age_col = "death2b", end_date_col = "death1a")
death_data <- construct_age_group(death_data, age_col = "death2b", new_col = "death2b_grp")
table_5_6 <- create_t5.6_and_t5.7(death_data, ru_filter = "urban", age_var = "death2b_grp", data_year = 2022)
#> Error in adorn_totals(pivot_wider(summarise(group_by(filter(data, !!sym(date_var) ==     data_year), !!sym(age_var), death2c), total = n()), names_from = death2c,     values_from = total, values_fill = 0), c("col", "row")): at least one targeted column must be of class numeric.  Control target variables with the ... argument. adorn_totals should be called before other adorn_ functions.