Hi,
I want to do a visualisation of a matrix plot made up of several plots of
correlation matrices (using corrplot()). My data is in csv format. Here's an
example:
id,category,attribute1,attribute2,attribute3,attribute4
661,SCHS,43.2,0,56.5,1
12202,SCHS,161.7,5.7,155,16
1182,SCHS,21.4,0,29,0
1356,SSS, 8.8182,0.1818,10.6667,0.6667
1864,SCHS,443.7273,9.9091,537,46
12360,SOA,6.6364,0,10,0
3382,SOA,7.1667,0,26,0.5
1033,SOA,63.9231,1.5385,91.5,11.5
14742,SSS,4.3846,0,8,0
12760,SSS,425.0714,1.7857,297.5,3.5
I can get rid of the id. But I need the 'category' as a way of
distinguishing the various correlation matrices.
I can do a plot of the correlation matrix using corrplot() function in the
corrplot package (ignoring the id and category). But what I need is a matrix
of the plots of each correlation matrix based on the category, ie I have
three categories in the data, hence I will need three plots of the
correlation matrix in one diagram (because the correlation matrix only
makes sense if they are distinguished by category).
Any help?
Regards
Gawesh
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