funs.covtct | R Documentation |

Four functions: `cov.tctI`

, `cov.tctIII`

, `cov.tct3`

and `cov.tctIV`

.

These functions return the covariances between between entries in the TCT for the types I, III, and IV
cell-specific tests in matrix form which is of dimension *k^2 \times k^2*.
The covariance matrix entries are *cov(T_{ij},T_{kl})* when *T_{ij}* values are by default corresponding to
the row-wise vectorization of TCT.
The argument `CovN`

must be the covariance between *N_{ij}* values which are obtained from the NNCT by row-wise
vectorization.
The functions `cov.tctIII`

and `cov.tct3`

are equivalent.
These covariances are valid under RL or conditional on *Q* and *R* under CSR.

See also (\insertCiteceyhan:jkss-posthoc-2017;textualnnspat).

cov.tctI(ct, CovN) cov.tctIII(ct, CovN) cov.tct3(ct, CovN) cov.tctIV(ct, CovN)

`ct` |
A nearest neighbor contingency table |

`CovN` |
The |

Each of these functions returns a *k^2 \times k^2* covariance matrix, whose entries are the covariances of
the entries in the TCTs for the corresponding type I-IV cell-specific test.
The row and column names are inherited from `ct`

.

Elvan Ceyhan

`cov.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) cov.tctI(ct,covN) cov.tctIII(ct,covN) cov.tctIV(ct,covN)

nnspat documentation built on Aug. 30, 2022, 9:06 a.m.

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