Hi,
I am R beginner. I've tried googling and reading, but this might be too simple
to be found in the documentation.
I have a dissimilarity index (symmetric matrix) from which I have extracted the
unique values using the exodist package command "lower". There are 14
observations, so there are 91 unique comparisons.
After this I'd like to extract corresponding metadata from a separate data
frame (the 14 observations organized in rows identified by a
samplenumber-vector, and other variables as gender, age, et cetera). The aim is
to have a new data frame with 91 rows and metadata vectors giving me the value
of the dissimilarity index, gender each of the two observations that are
compared by the dissimilarity metric. So if I'm looking for gender differences,
I need 5 vectors in the data frame: samplenumber1, samplenumber2, gender1,
gender2 and dissimilarity metric.
Does anyone have suggestions or experiences in reformatting data in this
manner? This is just a test-dataset. My full data-set is for more than 100
observations, so I need a more general code, if that is possible.
With great appreciation of any help.
Rune Grønseth
---
Rune Grønseth, MD, PhD, postdoctoral fellow
Department of Thoracic Medicine
Haukeland University Hospital
N-5021 Bergen
Norway
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