NY_data {spdep} | R Documentation

## New York leukemia data

### Description

New York leukemia data taken from the data sets supporting Waller and Gotway 2004.

### Usage

    data(NY_data)

### Format

A data frame with 281 observations on the following 12 variables, and the binary coded spatial weights used in the source.

`AREANAME`
  name of census tract
`AREAKEY`
  unique FIPS code for each tract
`X`
  x-coordinate of tract centroid (in km)
`Y`
  y-coordinate of tract centroid (in km)
`POP8`
  population size (1980 U.S. Census)
`TRACTCAS`
  number of cases 1978-1982
`PROPCAS`
  proportion of cases per tract
`PCTOWNHOME`
  percentage of people in each tract owning their own home
`PCTAGE65P`
  percentage of people in each tract aged 65 or more
`Z`
  ransformed propoprtions
`AVGIDIST`
  average distance between centroid and TCE sites
`PEXPOSURE`
  "exposure potential": inverse distance between each census tract centroid and the nearest TCE site, IDIST, transformed via log(100*IDIST)

### Details

The examples section shows how the DBF files from the book website for Chapter 9 were converted into the `nydata` data frame and the `listw_NY` spatial weights list.

### Source

http://www.sph.emory.edu/~lwaller/ch9index.htm

### References

Waller, L. and C. Gotway (2004) Applied Spatial Statistics for Public Health Data. New York: John Wiley and Sons.

### Examples

    ## Not run:
    ## NY leukemia
    require(foreign)
    nydata <- read.dbf("nydata.dbf")
    nyadjmat <- as.matrix(read.dbf("nyadjwts.dbf")[-1])
    ID <- as.character(names(read.dbf("nyadjwts.dbf"))[-1])
    identical(substring(ID, 2, 10), substring(as.character(nydata$AREAKEY), 2, 10))
    nyadjlw <- mat2listw(nyadjmat, as.character(nydata$AREAKEY))
    listw_NY <- nb2listw(nyadjlw$neighbours, style="B")
    ## End(Not run)

[Package spdep version 0.3-25 Index]