Description Usage Arguments Value Author(s) References See Also Examples

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.

1 2 3 | ```
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

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | ```
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
``` |

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