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

## Description

Returns a `matrix` of same dimension as the RCT, `rfct`, whose entries are the expected cell counts of the RCT under RL or CSR.

## Usage

 `1` ```EV.rct(rfct, nvec) ```

## Arguments

 `rfct` An RCT `nvec` The `vector` of class sizes

## Value

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

Elvan Ceyhan

## References

\insertAllCited

`rct`, `EV.nnct` and `EV.tct`

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24``` ```n<-20 #or try sample(1:20,1) Y<-matrix(runif(3*n),ncol=3) cls<-sample(1:2,n,replace = TRUE) #or try cls<-rep(1:2,c(10,10)) ipd<-ipd.mat(Y) nvec<-as.numeric(table(cls)) rfct<-rct(ipd,cls) EV.rct(rfct,nvec) #cls as a factor na<-floor(n/2); nb<-n-na fcls<-rep(c("a","b"),c(na,nb)) nvec<-as.numeric(table(fcls)) rfct<-rct(ipd,fcls) EV.rct(rfct,nvec) ############# n<-40 Y<-matrix(runif(3*n),ncol=3) cls<-sample(1:4,n,replace = TRUE) #or try cls<-rep(1:2,c(10,10)) ipd<-ipd.mat(Y) rfct<-rct(ipd,cls) EV.rct(rfct,nvec) ```

nnspat documentation built on May 10, 2021, 9:06 a.m.