Function which will print the BC matrix and add 2 duplicate articial pattern rows on top. The function allows you to see the BC and the pattern the BC was guided towards to.
bibit3_patternBC(result, matrix, pattern = c(1), type = c("full","sub","ext"), BC = c(1))
Arguments
result: Result produced by bibit3
matrix: The binary input matrix.
pattern: Vector containing either the number or name of which patterns the BC results should be extracted.
type: Vector for which BC results should be printed.
Full Pattern ("full")
Sub Pattern ("sub")
Extended ("ext")
BC: Vector of BC indices which should be printed, conditioned on pattern and type.
Returns
Prints queried biclusters.
Examples
## Not run:set.seed(1)data <- matrix(sample(c(0,1),100*100,replace=TRUE,prob=c(0.9,0.1)),nrow=100,ncol=100)data[1:10,1:10]<-1# BC1data[11:20,11:20]<-1# BC2data[21:30,21:30]<-1# BC3colsel <- sample(1:ncol(data),ncol(data))data <- data[sample(1:nrow(data),nrow(data)),colsel]pattern_matrix <- matrix(0,nrow=3,ncol=100)pattern_matrix[1,1:7]<-1pattern_matrix[2,11:15]<-1pattern_matrix[3,13:20]<-1pattern_matrix <- pattern_matrix[,colsel]out <- bibit3(matrix=data,minr=2,minc=2,noise=0.1,pattern_matrix=pattern_matrix, subpattern=TRUE,extend_columns=TRUE,pattern_combinations=TRUE)out # OR print(out) OR summary(out)bibit3_patternBC(result=out,matrix=data,pattern=c(1),type=c("full","sub","ext"),BC=c(1,2))## End(Not run)