R: Generate Boostrap Replicates of Besag and Newell's Statistic
besagnewell.boot
R Documentation
Generate Boostrap Replicates of Besag and Newell's Statistic
Description
Generate boostrap replicates of Besag and Newell's statistic, by means of
function boot from boot library. Notice that these functions
should not be used separately but as argument statistic when calling
function boot.
besagnewell.boot is used when performing a non-parametric bootstrap.
When sampling models are Multinomial or Poisson it is quite
straightforwad to obtain the actual p-value as shown in the examples. When
Permutation or Negative Binomial are used, simulation must be
used to estimate significance.
Usage
besagnewell.boot(data, i, ...)
besagnewell.pboot(...)
Arguments
data
A dataframe with the data, as explained in DCluster.
i
Permutation generated by the non-parametric bootstrap.
...
Additional arguments needed.
Value
Both functions return the value of the statistic.
References
Besag, J. and Newell, J.(1991). The detection of clusters in rare diseases.
Journal of the Royal Statistical Society A 154, 143-155.
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(DCluster)
Loading required package: boot
Loading required package: spdep
Loading required package: sp
Loading required package: Matrix
Loading required package: MASS
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/DCluster/besagnewell.boot.Rd_%03d_medium.png", width=480, height=480)
> ### Name: besagnewell.boot
> ### Title: Generate Boostrap Replicates of Besag and Newell's Statistic
> ### Aliases: besagnewell.boot besagnewell.pboot
> ### Keywords: spatial
>
> ### ** Examples
>
> library(boot)
> library(spdep)
>
> data(nc.sids)
>
> sids<-data.frame(Observed=nc.sids$SID74)
> sids<-cbind(sids, Expected=nc.sids$BIR74*sum(nc.sids$SID74)/sum(nc.sids$BIR74))
> sids<-cbind(sids, x=nc.sids$x, y=nc.sids$y)
>
> niter<-100
>
> #Permutation model
> besn.perboot<-boot(sids, statistic=besagnewell.boot, R=niter, k=20)
> plot(besn.perboot)#Display results
>
>
>
>
>
> dev.off()
null device
1
>