View source: R/NNCTFunctions.r
var.nnsym | R Documentation |
Returns the variances of differences of off-diagonal cell counts N_{ij}-N_{ji} for i,j=1,…,k and i \ne j
in the NNCT, ct
in a vector of length k(k-1)/2, the order of i,j for N_{ij}-N_{ji}
is as in the output of ind.nnsym(k)
.
These variances are valid under RL or conditional on Q and R under CSR.
See also (\insertCitedixon:1994,ceyhan:SWJ-spat-sym2014;textualnnspat).
var.nnsym(covN)
covN |
The k^2 \times k^2 covariance matrix of row-wise vectorized entries of NNCT |
A vector
of length k(k-1)/2, whose entries are the variances of differences of off-diagonal
cell counts N_{ij}-N_{ji} for i,j=1,…,k and i \ne j in the NNCT.
Elvan Ceyhan
var.nnct
, var.tct
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) W<-Wmat(ipd) Qv<-Qvec(W)$q Rv<-Rval(W) varN<-var.nnct(ct,Qv,Rv) covN<-cov.nnct(ct,varN,Qv,Rv) #default is byrow var.nnsym(covN) ############# n<-40 Y<-matrix(runif(3*n),ncol=3) ipd<-ipd.mat(Y) cls<-sample(1:4,n,replace = TRUE) #or try cls<-rep(1:2,c(10,10)) ct<-nnct(ipd,cls) W<-Wmat(ipd) Qv<-Qvec(W)$q Rv<-Rval(W) varN<-var.nnct(ct,Qv,Rv) covN<-cov.nnct(ct,varN,Qv,Rv) var.nnsym(covN)
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