Hello, I have two matrices as shown below:

 

Matrix 1

ID            AB1        BC1        CD1        ...

name1  1,1          2,1          0,2          ...

name2  2,0          1,2          1,2          ...

name3  0,2          1,1          2,0          ...

name4  2,0          0,2          0,2          ...

 

Matrix 2

ID            AB2        BC2        CD2        ...

name1  1,1          2,1          0,2          ...

name2  2,0          1,2          1,2          ...

name3  0,2          1,0          2,0          ...

name4  2,0          0,2          0,2          ...

 

Comparison of both matrices reports a unique difference based on the
following code:

 

                 informative<-which(matrix1!=matrix2)

                transitions<-napaste(matrix1,matrix2)[informative]

                unique_transitions<-unique(transitions)

                lfreq<-list(State_transitions=unique_transitions)

                lf<-as.data.frame(lfreq)

                plot(lf)

                write.table(lf,"C:\\
state_transitions.txt",sep="\t",quote=FALSE,row.names=TRUE)

                lf

}

 

state_trans_freqs()

 

The result is reported as:

 

1              1,1          1,0

 

How can I identify the column name (BC1, BC2) and row name (name3,
name3) that refers to this unique transition? Should I change my import
and data parsing?

 

                cat("Reading Test calls.\n")

                calls<-read.delim("C:\\Test_calls", header=T)

 

                # Identify which data column contains ID.

                ID_id<-c(1)

 

                # Identify which data columns contain the matrix1 and
matrix2 samples.

                matrix1_samples<-c(2,4,6,8,10)

                matrix2 _samples<-c(3,5,7,9,11)

 

                # Generate matrices of matrix1and matrix2 samples.

                matrix1<-as.vector(as.matrix(calls[ID_id,
matrix1_samples]))

                matrix2 <-as.vector(as.matrix(calls[ID_id, matrix2
_samples]))

 

Please help.

 

Thanks.


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