get.pi.typed.permute: get the null distribution of the get.pi.typed function

Description Usage Arguments Value Author(s) See Also Examples

View source: R/spatialfuncs.r

Description

Does permutations to calculate the null distribution of get pi if there were no spatial dependence. Randomly reassigns coordinates to each observation permutations times

Usage

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get.pi.typed.permute(posmat, typeA = -1, typeB = -1, r = 1,
  r.low = rep(0, length(r)), permutations, 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

permutations

the number of permute 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

Author(s)

Justin Lessler and Henrik Salje

See Also

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

Examples

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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"]<75)
tmp<-cbind(DengueSimR02,type=type)

typed.pi<-get.pi.typed(tmp,typeA=1,typeB=2,r=r.max,r.low=r.min)
typed.pi.type.null<-get.pi.typed.permute(tmp,typeA=1,typeB=2,r=r.max,r.low=r.min,permutations=100)

IDSpatialStats documentation built on Nov. 16, 2019, 1:08 a.m.