View source: R/NNCTFunctions.R

var.nnct | R Documentation |

Returns the variances of cell counts *N_{ij}* for *i,j=1,…,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)

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.