ColoCan {gss}

Colorectal Cancer Mortality Rate in Indiana Counties

Description

County-wise death counts of colorectal cancer patients in Indiana during years 2000 through 2004.

Usage

data(ColoCan)

Format

A data frame containing 184 observations on the following variables.

event	Death counts.
pop	Population from Census 2000.
sex	Gender of population.
wrt	Proportion of Whites.
brt	Proportion of Blacks.
ort	Proportion of other minorities.
lat	Latitude.
lon	Longitude.
geog	Geographic location, derived from lat and lon.
scrn	Colorectal cancer screening rate.
name	County name.

Details

geog was generated from lat and lon using the code given in the example section.

Source

Dr. Tonglin Zhang.

References

Zhang, T. and Lin, G. (2009), Cluster detection based on spatial associations and iterated residuals in generalized linear mixed models. Biometrics, 65, 353–360.

Examples

## Converting latitude and longitude to x-y coordinates
## The 49th county is Marion, where Indianapolis is located.
## Not run: ltln2xy <- function(latlon,latlon0) {
  lat <- latlon[,1]*pi/180; lon <- latlon[,2]*pi/180
  lt0 <- latlon0[1]*pi/180; ln0 <- latlon0[2]*pi/180
  x <- cos(lt0)*sin(lon-ln0); y <- sin(lat-lt0)
  cbind(x,y)
}
data(ColoCan)
latlon <- as.matrix(ColoCan[,c("lat","lon")])
ltln2xy(latlon,latlon[49,])
## Clean up
rm(ltln2xy,ColoCan,latlon)
## End(Not run)