Description Usage Arguments Value See Also Examples
Bootstraps typed pi values. Makes sure distances between a sample and another draw of itself are left out
1 2 3 4 5 6 7 8 9 | get.pi.typed.bootstrap(
posmat,
typeA = -1,
typeB = -1,
r = 1,
r.low = rep(0, length(r)),
boot.iter,
data.frame = TRUE
)
|
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) |
pi values for all the distances we looked at
Other get.pi:
get.pi.bootstrap()
,
get.pi.ci()
,
get.pi.permute()
,
get.pi.typed.permute()
,
get.pi.typed()
,
get.pi()
1 2 3 4 5 6 7 8 9 10 | 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)
|
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