View source: R/NNCTFunctions.R

var.nnct | R Documentation |

Returns the variances of cell counts `N_{ij}`

for `i,j=1,\ldots,k`

in the NNCT, `ct`

in matrix form which
is of the same dimension as `ct`

.
These variances are valid under RL or
conditional on `Q`

and `R`

under CSR.

See also (\insertCitedixon:1994,dixon:NNCTEco2002,ceyhan:eest-2010,ceyhan:jkss-posthoc-2017;textualnnspat).

```
var.nnct(ct, Q, R)
```

`ct` |
A nearest neighbor contingency table |

`Q` |
The number of shared NNs |

`R` |
The number of reflexive NNs (i.e., twice the number of reflexive NN pairs) |

A `matrix`

of same dimension as, `ct`

,
whose entries are the variances of the cell counts
in the NNCT with class sizes given as the row sums of `ct`

.
The row and column names are inherited from `ct`

.

Elvan Ceyhan

`var.tct`

, `var.nnsym`

,
and `cov.nnct`

```
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)
ct
W<-Wmat(ipd)
Qv<-Qvec(W)$q
Rv<-Rval(W)
var.nnct(ct,Qv,Rv)
#cls as a factor
na<-floor(n/2); nb<-n-na
fcls<-rep(c("a","b"),c(na,nb))
ct<-nnct(ipd,fcls)
var.nnct(ct,Qv,Rv)
#############
n<-40
Y<-matrix(runif(3*n),ncol=3)
ipd<-ipd.mat(Y)
cls<-sample(1:4,n,replace = TRUE) #or try cls<-rep(1:2,c(10,10))
ct<-nnct(ipd,cls)
W<-Wmat(ipd)
Qv<-Qvec(W)$q
Rv<-Rval(W)
var.nnct(ct,Qv,Rv)
```

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