Hallo R Users,
 I have some distance matrix data like
> M[1:10,]
           [,1]      [,2]      [,3]      [,4]      [,5]       [,6]
 [1,] 0.8750000 0.5000000 0.5000000 0.3750000 0.6250000 0.00000000
 [2,] 0.8928571 1.0000000 0.0000000 0.8928571 0.1071429 0.00000000
 [3,] 0.8928571 1.0000000 0.0000000 0.8928571 0.1071429 0.00000000
 [4,] 0.8928571 1.0000000 0.0000000 0.8928571 0.1071429 0.00000000
 [5,] 1.0000000 0.1304348 0.8695652 0.1304348 0.8695652 0.00000000
 [6,] 1.0000000 0.1304348 0.8695652 0.1304348 0.8695652 0.00000000
 [7,] 1.0000000 0.1304348 0.8695652 0.1304348 0.8695652 0.00000000
 [8,] 0.9497743 0.7605977 0.2394023 0.7103720 0.2896280 0.00000000
 [9,] 0.0754717 0.7169811 0.0000000 0.3584906 0.9245283 0.28301887
[10,] 0.3870968 0.9354839 0.0000000 0.4516129 0.6129032 0.06451613

where all the columns (1 to 6) are representing all possible pair-wise
combination from four datasets,
like
 cmbn
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    1    1    1    2    2    3
[2,]    2    3    4    3    4    4

and all the rows represent different species

so;
> M[1,1]
[1] 0.875    ## is the distance value for species 1 for combination data
pair 1& 2.

Can any body please suggest me what will be the best way to represent these
results in plot?
Thanks a lot in advance,
With best regard,
Suparna
---------------

        [[alternative HTML version deleted]]

______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

Reply via email to