# EV.nnct: Expected Values of the Cell Counts in NNCT In nnspat: Nearest Neighbor Methods for Spatial Patterns

## 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`.

## Usage

 `1` ```EV.nnct(ct) ```

## Arguments

 `ct` A nearest neighbor contingency table

## Value

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

Elvan Ceyhan

## References

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`nnct` and `EV.tct`
 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25``` ```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) ```