flexscan: Flexible Scan Statistics

In FlexScan: Flexible Scan Statistics

Description

An easy way to conduct flexible scan. Monte-Carlo method is used to test the spatial clusters given the cases, population, and shapefile. A table with formal style and a map with clusters are included in the result report. The method can be referenced at: Toshiro Tango and Kunihiko Takahashi (2005) <doi:10.1186/1476-072X-4-11>.

Usage

flexscan(map,case,pop,nsim,k,alpha,isplot,col)

Arguments

map	spatial object, typically a shapefile read in using 'rgdal::readOGR'
case	numeric, a vector of number of cases for each region of 'map'; it is noteworthy that the order of regions in 'case' is corresponding to that in 'map'
pop	numeric, a vector of number of population for each region of 'map'; it is noteworthy that the order of regions in 'pop' is corresponding to that in 'map'
nsim	numeric, the number of simulations for Monte Carlo test; the default is 999
k	numeric, the maximum number of regions allowed for clusters; the default is 10
alpha	numeric, the significance level of flexible scan test; the default is 0.05
isplot	logical, wether to plot the results; the default is 0.05
col	color vector, two colors for most likely cluster and secondary cluster; the default is c("red","blue")

Value

data.frame	a data.frame containing 8 variables as follows:
Cluster Type	most likely cluster or secondary cluster
Region ID	region id for each cluster; it is noteworthy that the 'ID' is the order of regions in 'map'
Observed Cases	observed cases for each cluster
Expected Cases	expected cases for each cluster
SR	standardized ratio of observed to expected cases
RR	relative risk for each cluster
LLR	loglikelihood ratio for each cluster
P Value	p value of likelihood ratio test for each cluster

Note

Please feel free to contact us, if you have any advice and find any bug!

Reference:

Tango, T. & Takahashi, K. A Flexibly Shaped Spatial Scan Statistic for Detecting Clusters. INT J HEALTH GEOGR. 4, 11 (2005).

Updates:

Version 0.2.0: Fix the bugs according to the dependent package of "smerc" version 1.1

Version 0.2.2: Fix the bugs according to the dependent package of "spdep"

Author(s)

Zhicheng Du<[e-mail]>, Yuantao Hao<[e-mail]>

Examples

  data(map)
  data(sample)
  # simple example for checks; turn the warnings back on using 'options(warn=0)'
  options(warn=-1)
  flexscan(map,case=sample$case,pop=sample$pop,k=3,isplot=FALSE,nsim=10)
## Not run: 
 flexscan(map,case=sample$case,pop=sample$pop)

## End(Not run)

FlexScan documentation built on Jan. 6, 2022, 9:06 a.m.