tct: T Contingency Table (TCT)

In nnspat: Nearest Neighbor Methods for Spatial Patterns

T Contingency Table (TCT)

Description

Returns the T contingency table (TCT), which is a matrix of same dimension as, ct, whose entries are the values of the Types I-IV cell-specific test statistics, T^I_{ij}-T^{IV}_{ij}. The row and column names are inherited from ct. The type argument specifies the type of the cell-specific test among the types I-IV tests.

See also (\insertCiteceyhan:jkss-posthoc-2017;textualnnspat) and the references therein.

Usage

tct(ct, type = "III")

Arguments

ct	A nearest neighbor contingency table
type	The type of the cell-specific test, default="III". Takes on values "I"-"IV" (or equivalently 1-4, respectively.

Value

A matrix of the values of Type I-IV cell-specific tests

Author(s)

Elvan Ceyhan

References

\insertAllCited

See Also

cellsTij and nnct

Examples

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)
ct

type.lab<-c("I","II","III","IV")
for (i in 1:4)
{ print(paste("T_ij values for cell specific tests for type",type.lab[i]))
  print(tct(ct,i))
}

tct(ct,"II")

#cls as a factor
na<-floor(n/2); nb<-n-na
fcls<-rep(c("a","b"),c(na,nb))
ct<-nnct(ipd,fcls)
tct(ct,2)

#############
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)
tct(ct,2)

ct<-matrix(c(0,10,5,5),ncol=2)
tct(ct,2)

nnspat documentation built on May 29, 2024, 10:03 a.m.