dear deepayan & all...
  let me explain you my full problem clearly..so that you could clearly suggest me in right direction....
  my matrix (a) looks like as below...I´ve done clusutering in  this matrix
  ----------------------------------------------------------------
   a<-matrix(c(seq(3,45,3),seq(10,6,-1)),4,5,byrow=F) 
 col<-c("ra","rb","rc","rd","re")
 rows<-c("ca","cb","cc","cd")
 dimnames(a)<-list(rows,col)  
a
     ra rb rc rd re
ca  3 15 27 39  9
cb  6 18 30 42  8
cc  9 21 33 45  7
cd 12 24 36 10  6
  -----------------------------------------------------------
  clustering based on row and columns..suppose after clustering my row & col clustes looks like this..
   
  row cluster 1: ra,rb
                   2: rc,rd
                   3:re
  column cluster 1: ca,cb
                         2: cc,cd
   
  So my clustered matrix (should) looks like
   
                                                        ROWS
                                        1                   2                  3
                                 I  ra    rb       I      rc   rd       I       re
               ----------------I------------------I----------------------I------------------
                        ca     I   3    15      I      27  39       I      9
                1             I                  I                      I
                        cb     I   6    18      I      30  42       I      8
                                 I                  I                      I
  COLUMNS---------------I-----------------------------------------I-----------------
                      cc     I   9     21     I      33  45       I      7
              2               I                  I                      I
                        cd     I 12    24     I      36  10       I      6
                 ----------------I-----------------I-----------------------I--------------------
  The above is the output matrix..It has to be plotted in graphs showing the partitions clearly as it is shown in the above matrix...
  .
  what kind of approach will be useful in gettign this..?particularly in colored graphs...
   
  thanks a lot...
   
  yours sincerely,
  eric.

   
   
  Deepayan Sarkar <deepayan.sarkar@gmail.com> wrote:
  On 11/21/05, peter eric wrote:
>
> Really your (Mr.deepayan´s)answer is what I expected..thanks a lot...and I
> like to ask you one more thing..
> Is it possible to do boolean operations in this matrix and plot that also
> in graphs?
>
> for example
> 1. a[anja,maya] Vs a[vincent,selva]
> means things common between the rows anja&maya and columns vincent &
> selva

You mean

levelplot(a[c("anja", "maya"), c("vincent", "selva")])

? This is standard matrix indexing in R.

> 2.a[anja,maya] Vs a[peter,david]
> and so on...
>
> So in that case whether it is possible to plot in the same graph(since I´m
> doing different...more than one.. comparisions) or I´ve to plot in a
> multiple graph..

It depends on what you want to do. If the different comparisons are
based on some systematic rule then levelplot may take you further.

[Note that for this you may need to work with a data.frame instead of
a matrix. E.g.,

mat2df <- function(x) {
rx <- row(x)
cx <- col(x)
data.frame(row = rownames(x)[rx],
column = colnames(x)[cx],
z = as.vector(x))
}

b <- mat2df(a)

b is now a data frame:

> b
row column z
1 julius peter 3
2 caeser peter 6
3 anja peter 9
...

]
  


		
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