EV.nnct {nnspat}

Expected Values of the Cell Counts in NNCT

Description

Returns a matrix of same dimension as, ct, whose entries are the expected cell counts of the NNCT under RL or CSR. The class sizes given as the row sums of ct and the row and column names are inherited from ct.

See also (Dixon (1994); Ceyhan (2010)).

Usage

EV.nnct(ct)

Arguments

ct

A nearest neighbor contingency table

Value

A matrix of the expected values of cell counts in the NNCT.

Author(s)

Elvan Ceyhan

References

Ceyhan E (2010). “On the use of nearest neighbor contingency tables for testing spatial segregation.” Environmental and Ecological Statistics, 17(3), 247-282.

Dixon PM (1994). “Testing spatial segregation using a nearest-neighbor contingency table.” Ecology, 75(7), 1940-1948.

See Also

nnct and EV.tct

Examples

n<-20  #or try sample(1:20,1)
Y<-matrix(runif(3*n),ncol=3)
ipd<-ipd.mat(Y)
cls<-sample(1:2,n,replace = TRUE)  #or try cls<-rep(1:2,c(10,10))
ct<-nnct(ipd,cls)

EV.nnct(ct)

#cls as a factor
na<-floor(n/2); nb<-n-na
fcls<-rep(c("a","b"),c(na,nb))
ct<-nnct(ipd,fcls)
EV.nnct(ct)

#############
n<-40
Y<-matrix(runif(3*n),ncol=3)
ipd<-ipd.mat(Y)
cls<-sample(1:4,n,replace = TRUE)  #or try cls<-rep(1:2,c(10,10))
ct<-nnct(ipd,cls)

EV.nnct(ct)

ct<-matrix(c(0,10,5,5),ncol=2)
EV.nnct(ct)