[R] Extracting metadata information to corresponding dissimilarity matrix
jdnewmil at dcn.davis.ca.us
Tue May 16 15:47:51 CEST 2017
Hello R Beginner...
It is good that you are articulate, but R code has subtleties that words miss, so you really need to provide sample code and sample data to convey where you are. This is not necessarily easy, but it avoids a lot of us fixing the wrong problem and you might even solve your own problem in the course of making a simple example. Help with doing this is available on the Web  .
I suspect that the reshape function or one of the many alternative packages like reshape2 or tidyr are what you are looking for.
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Sent from my phone. Please excuse my brevity.
On May 16, 2017 2:30:30 AM PDT, "Rune Grønseth" <nielsenrune at me.com> wrote:
>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
>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
>With great appreciation of any help.
>Rune Grønseth, MD, PhD, postdoctoral fellow
>Department of Thoracic Medicine
>Haukeland University Hospital
> [[alternative HTML version deleted]]
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