Create age specific rate — create_age

Creates a data frame of age-specific rates based on the class of data (fbswicd or canreg).

create_age_rate(
  x,
  ...,
  event = "fbs",
  cancer_type = "big",
  format = "long",
  mp = 1e+05,
  decimal = 6,
  show_pop = FALSE,
  collapse = TRUE
)

# S3 method for class 'canreg'
create_age_rate(x, ..., cancer_type = "big")

# S3 method for class 'canregs'
create_age_rate(x, ..., cancer_type = "big", collapse = TRUE)

# S3 method for class 'fbswicds'
create_age_rate(
  x,
  ...,
  event = "fbs",
  format = "long",
  mp = 1e+05,
  decimal = 6,
  show_pop = FALSE,
  collapse = TRUE
)

# S3 method for class 'fbswicd'
create_age_rate(
  x,
  ...,
  event = "fbs",
  format = "long",
  mp = 1e+05,
  decimal = 6,
  show_pop = FALSE
)

Arguments

x: The input data, object with class of 'fbswicd', 'fbswicds', 'canreg', or 'canregs'.
...: One or more variables used for stratification. For example, you can stratify by sex, year, cancer, or just by year. If sex is not passed as a parameter, the output will be the result for the combined gender.
event: A variable used to specify the type of calculation, options are fbs or sws, fbs for cancer incidence, and sws for cancer mortality.
cancer_type: A character string specifying the classification method used to categorize ICD-10 codes. This determines how ICD-10 codes are classified. Options include "big" (classify ICD-10 codes into 26 cancer categories), "small" (classify ICD-10 codes into 59 cancer categories, more specific categories), "system" (classify ICD-10 codes into organ system), and "gco" (classify ICD-10 code into cancer categories same as classification published by the Global Cancer Observatory). This parameter is only available when the input data is a vector of ICD-10 codes, or object with class of 'canreg' or 'canregs'.
format: Format of the output data frame, either "long" or "wide".
mp: A constant to multiply rates by (e.g. mp=1000 for rates per 1000).
decimal: This parameter specifies the number of decimal places to round the results. The default is 2, which means rates will be rounded to two decimal places.
show_pop: Logical value whether output population or not.
collapse: Logical value whether output result as age_rate or age_rates.

Value

A data frame of age-specific rates.