Dear all,
I have two data frames- x1 and y1 with same row names and column names(actually
the names of the patients).
x1
a b c d e
a 1.0000000 0.4730679 0.6226994 0.6036036 0.6433333
b 0.4730679 1.0000000 0.6227273 0.6303855 0.5730858
c 0.6226994 0.6227273 1.0000000 0.7290503 0.6900585
d 0.6036036 0.6303855 0.7290503 1.0000000 0.7096774
e 0.6433333 0.5730858 0.6900585 0.7096774 1.0000000
y1
a b c d e
a 1.0000000 0.00 0.5000000 0.00 0.3333333
b 0.0000000 1.00 0.0000000 0.25 0.0000000
c 0.5000000 0.00 1.0000000 0.00 0.1666667
d 0.0000000 0.25 0.0000000 1.00 0.0000000
e 0.3333333 0.00 0.1666667 0.00 1.0000000
basically these two matrices are the similarity matrices between the patients.
x1 is genotypically and y1 is phenotypically.
Now I want to generate a plot to see which patients have high similarity
genotypically as well as phenotypically. So I am using
plot(x1[upper.tri(x1)],y1[upper.tri(y1)]) #taking only the
upper triangle of matrices as other half is same.
The plot is coming fine.But I am loosing the row names,therefore I have no idea
which patients are on the top right corner of the plot.
Can you please help me.I will be very thankful to you.
Thanking you,
Warm Regards
Vikas Bansal
Msc Bioinformatics
Kings College London
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