get.pi.typed.bootstrap {IDSpatialStats}

runs bootstrapping on get.pi.typed

Description

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

Usage

get.pi.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

pi values for all the distances we looked at

See Also

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

Examples

data(DengueSimR02)

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-(DengueSimR02[,"time"]<120)
tmp<-cbind(DengueSimR02,type=type)

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