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Access to Cancer Mortality Data

Source: R/mortality-cancer.R
mortality_cancer.Rd

This function returns a data frame about cancer mortality from State Cancer Profiles.

Usage

mortality_cancer(area, areatype, cancer, race, sex, age, year)

Arguments

area

A state/territory abbreviation or USA.

areatype

One of the following values:

  • "county"

  • "hsa" (Health Service Area)

  • "state".

cancer

One of the following values:

  • "all cancer sites"

  • "bladder"

  • "brain & ons"

  • "breast (female)"

  • "cervix"

  • "childhood (ages <15, all sites)"

  • "childhood (ages <20, all sites)"

  • "colon & rectum"

  • "esophagus"

  • "kidney & renal pelvis"

  • "leukemia"

  • "liver & bile duct"

  • "lung & bronchus"

  • "melanoma of the skin"

  • "non-hodgkin lymphoma"

  • "oral cavity & pharynx"

  • "ovary"

  • "pancreas"

  • "prostate"

  • "stomach"

  • "thyroid"

  • "uterus (corpus & uterus, nos)"

race

One of the following values:

  • "All Races (includes Hispanic)"

  • "White (non-Hispanic)"

  • "Black (non-Hispanic)"

  • "American Indian / Alaska Native (non-Hispanic)"

  • "Asian / Pacific Islander (non-Hispanic)"

  • "Hispanic (Any Race)".

sex

One of the following values:

  • "both sexes"

  • "male"

  • "female".

age

One of the following values:

  • "all ages"

  • "ages <50"

  • "ages 50+"

  • "ages <65"

  • "ages 65+"

  • "ages <15"

  • "ages <20".

year

One of the following values:

  • "latest 5 year average"

  • "latest single year (us by state)".

Value

A data frame with the following columns: Area Type, Area Code, Met Healthy People Objective of ***?, Age Adjusted Death Rate, Lower 95% CI Rate, Upper 95% CI Rate, CI Rank, Lower CI Rank, Upper CI Rank, Annual Average Count, Recent Trend, Recent 5 Year Trend, Lower 95% CI Trend, Upper 95% CI Trend.

Examples

if (FALSE) {
mortality_cancer(
  area = "wa",
  areatype = "county",
  cancer = "all cancer sites",
  race = "black (non-hispanic)",
  sex = "both sexes",
  age = "ages 65+",
  year = "latest 5 year average"
)

mortality_cancer(
  area = "usa",
  areatype = "state",
  cancer = "prostate",
  race = "all races (includes hispanic)",
  sex = "males",
  age = "ages 50+",
  year = "latest single year (us by state)"
)

mortality_cancer(
  area = "wa",
  areatype = "hsa",
  cancer = "ovary",
  race = "all races (includes hispanic)",
  sex = "females",
  age = "ages 50+",
  year = "latest 5 year average"
)
}