View source: R/NNCTFunctions.r
var.tct | R Documentation |
Returns the variances of T_{ij} values for i,j=1,…,k in the TCT in matrix form which
is of the same dimension as TCT for types I-IV tests.
The argument covN
must be the covariance between N_{ij} values which are obtained from the NNCT by row-wise
vectorization. type determines the type of the test for which variances are to be computed, with default="III"
.
These variances are valid under RL or conditional on Q and R under CSR.
See also (\insertCiteceyhan:SJScorrected2010,ceyhan:jkss-posthoc-2017;textualnnspat).
var.tct(ct, covN, type = "III")
ct |
A nearest neighbor contingency table |
covN |
The k^2 \times k^2 covariance matrix of row-wise vectorized cell counts of NNCT, |
type |
The type of the cell-specific test, default= |
A matrix
of same dimension as, ct
, whose entries are the variances of
the entries in the TCT for the corresponding type of cell-specific test.
The row and column names are inherited from ct
.
Elvan Ceyhan
var.nnct
, var.tctI
, var.tctIII
, var.tctIV
and cov.tct
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)$q Rv<-Rval(W) varN<-var.nnct(ct,Qv,Rv) covN<-cov.nnct(ct,varN,Qv,Rv) var.tct(ct,covN,"I") var.tct(ct,covN,2) var.tct(ct,covN,"III") var.tct(ct,covN,"IV") ############# n<-40 Y<-matrix(runif(3*n),ncol=3) ipd<-ipd.mat(Y) cls<-sample(1:4,n,replace = TRUE) #or try cls<-rep(1:2,c(10,10)) ct<-nnct(ipd,cls) W<-Wmat(ipd) Qv<-Qvec(W)$q Rv<-Rval(W) varN<-var.nnct(ct,Qv,Rv) covN<-cov.nnct(ct,varN,Qv,Rv) var.tct(ct,covN,"I") var.tct(ct,covN,2)
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