funsC_MI_II | R Documentation |

Two functions: `correct.cf1`

and `correct.cf1`

.

Each function yields matrices which are used in obtaining covariance matrices of *T_{ij}* values for
types I and II tests from the usual Chi-Square test of contingency tables (i.e. Pielou's test) applied
on NNCTs.
The output matrices are to be term-by-term multiplied with the covariance matrix of
the entries of NNCT. See Sections 3.1 and 3.2 in
(\insertCiteceyhan:SJScorrected2010;textualnnspat)
or
Sections 3.5.1 and 3.5.2 in
(\insertCiteECarXivCorrected:2008;textualnnspat) for more details.

correct.cf1(ct) correct.cf2(ct)

`ct` |
A nearest neighbor contingency table |

Both functions return a correction matrix which is to be multiplied with the covariance matrix of entries of the NNCT so as to obtain types I and II overall tests from Pielou's test of segregation. See the description above for further detail.

Elvan Ceyhan

`nnct.cr1`

and `nnct.cr2`

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) #correction type 1 CM1<-correct.cf1(ct) CovN.cf1<-covN*CM1 #correction type 2 CM2<-correct.cf2(ct) CovN.cf2<-covN*CM2 covN CovN.cf1 CovN.cf2

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

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