Yes. I agree that plot is going to be crowded. But idea is to see if elements
of same type (different color code etc) group together or not.
I would need only first two principal components (at most three). Since
princomp calculates all components, it is taking very long time !
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View this mes
R distance objects are triangular, maybe consider as.dist() that would require
the square matrix as input. Which could be reconstructed(or you have it
already.) I do not know if there is a biglm() alternative to princomp(), but
maybe consider using subsets of your data because that plot, if crea
Hi,
I have a comma separated file with element names in first column like shown
below :
Name_1,0
Name_2,0.8878,0
Name_3,0.6777,0.7643,0
Name_4,0.9844,0.1234,0.1414,0
Original data is a 1x1 symmetric matrix (600 MB). To reduce file
size, I have minimized matrix to only lower triangle. Is
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