get.theta.typed.bootstrap: runs bootstrapping on 'get.theta.typed'

In IDSpatialStats: Estimate Global Clustering in Infectious Disease

Description

Bootstraps typed pi values. Makes sure distances between a sample and another draw of itself are left out

Usage

get.theta.typed.bootstrap(
  posmat,
  typeA = -1,
  typeB = -1,
  r = 1,
  r.low = rep(0, length(r)),
  boot.iter,
  data.frame = TRUE
)

Arguments

posmat	a matrix with columns type, x and y
typeA	the "from" type that we are interested in, -1 is wildcard
typeB	the "to" type that we are interested i, -1 is wildcard
r	the series of spatial distances we are interested in
r.low	the low end of each range....0 by default
boot.iter	the number of bootstrap iterations
data.frame	logical indicating whether to return results as a data frame (default = TRUE)

Value

theta values for all the distances we looked at

See Also

Other get.theta: get.theta.bootstrap(), get.theta.ci(), get.theta.permute(), get.theta.typed.permute(), get.theta.typed(), get.theta()

Examples

data(DengueSimR01)

r.max<-seq(20,1000,20)
r.min<-seq(0,980,20)

#Lets see if there's a difference in spatial dependence by time case occurs
type<-2-(DengueSimR01[,"time"]<75)
tmp<-cbind(DengueSimR01,type=type)

typed.theta.bs<-get.theta.typed.bootstrap(tmp,typeA=1,typeB=2,r=r.max,r.low=r.min,boot.iter=100)

IDSpatialStats documentation built on Aug. 9, 2021, 9:08 a.m.