pennLC_sf: Pennsylvania Lung Cancer
In rudeboybert/SpatialEpi: Methods and Data for Spatial Epidemiology

pennLC_sf

R Documentation

Pennsylvania Lung Cancer

Description

County-level (n=67) population/case data for lung cancer in Pennsylvania in 2002, stratified on race (white vs non-white), gender and age (Under 40, 40-59, 60-69 and 70+). Additionally, county-specific smoking rates.

Usage

pennLC_sf

Format

An sf POLYGON data frame with 1072 rows = 67 counties x 2 race x 2 gender x 4 age bands

county: Pennsylvania county
cases: Number of cases per county split by strata
population: Population per county split by strata
race: Race (w = white and o = non-white)
gender: Gender (f = female and m = male)
age: Age (4 bands)
smoking: Overall county smoking rate (not broken down by strata)
geometry: Geometric representation of counties in Pennsylvania

Source

Population data was obtained from the 2000 decennial census, lung cancer and smoking data were obtained from the Pennsylvania Department of Health website:https://www.health.pa.gov/Pages/default.aspx.

Examples

library(ggplot2)
library(dplyr)
# Sum cases & population for each county
lung_cancer_rate <- pennLC_sf %>% 
  group_by(county) %>% 
  summarize(cases = sum(cases), population = sum(population)) %>% 
  mutate(rate = cases/population)

# Static map of Pennsylvania lung cancer rates for each county
## Not run: 
ggplot() +
  geom_sf(data = lung_cancer_rate, aes(fill = rate))
  
## End(Not run)

rudeboybert/SpatialEpi documentation built on Feb. 27, 2023, 5:09 a.m.