dear all, thanks
it helped a lot, the problem was that I should treat my data
as set of species, not samples, so as output I get 4087*4087 matrix, which
afterwards will be applied for PCO,
the thing was, that in cause of big number of values, programm do not show
all
computed distances and even
On Fri, 2011-03-18 at 06:21 -0700, bra86 wrote:
> Hello, everybody,
>
> I hope somebody could help me with a dist() function.
> I have a data frame of size 2*4087 (col*row), where col corresponds to the
> treatment and rows are
So you have 4087 species? If yes, normally, you'd have the species i
It isn't quite clear what you're doing. Do you
already have distances calculated elsewhere
and imported into R?
If so, then if you import the *full symmetric* distance
matrix, you can convert it into a distance object using
as.dist().
If you only have the lower triangle, you can use eg
full() fro
Hello, everybody,
I hope somebody could help me with a dist() function.
I have a data frame of size 2*4087 (col*row), where col corresponds to the
treatment and rows are
species, values are Hellinger distances, I should reconstruct a distance
matrix
with a dist() function. I know that "euclidean"
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