get.tau.typed {IDSpatialStats}

Optimized version of get.tau for typed data

Description

Version of th e get.tau function that is optimized for statically typed data. That is data where we want the relationship between points of type A and points of type B

Usage

get.tau.typed(
  posmat,
  typeA = -1,
  typeB = -1,
  r = 1,
  r.low = rep(0, length(r)),
  comparison.type = "representative",
  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

comparison.type

what type of points are included in the comparison set.

• "representative" if comparison set is representative of the underlying population

• "independent" if comparison set is cases/events coming from an indepedent process

data.frame

logical indicating whether to return results as a data frame (default = TRUE)

Value

data frame of tau values for all the distances

Author(s)

Justin Lessler and Henrik Salje

See Also

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

Examples

data(DengueSimR02)

r.max<-seq(20,1000,20)
r.min<-seq(0,980,20)
r.mid<-(r.max+r.min)/2

#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.tau<-get.tau.typed(tmp,typeA=1,typeB=2,r=r.max,r.low=r.min,comparison.type = "independent")

plot(r.mid,typed.tau$tau,log="y",cex.axis=1.25,
     xlab="Distance (m)",ylab="Tau",cex.main=0.9,lwd=2,type="l")
abline(h=1,lty=2)