using two distance metrices in formula

Jens,

You can make your imported dissimilarities into a dist object quite easily.

Say D is your imported dissimilarity data. It needs to be in lower-triangular
format (assuming you imported it as a symmetric square matrix).

D <- as.matrix(D)
D <- D[col(D) < row(D)]
attr(D, "Size") <- N # number of samples (# of rows and cols)
attr(D, "Labels") <- 1:N # or names of samples, of length N
attr(D, "Diag") <- FALSE
attr(D, "Upper") <- FALSE
attr(D, "method") <- "imported" # name of index, or NULL
class(D) <- "dist"

Sarah

Dear R-sig-ecology group,

is there a way to use two self-made dissimilarity matrices for the left-hand
side (LHS) and right hand side (RHS) in vegan functions such as capscale or
adonis?
I created those matrices in a GIS using 3D-information therefore I don?t
want to simply use distances between 2D-coordinates. But as I found out,
there is only the possibility to use a dist object for LHS.

Can anyone suggest a solution or had similar problems?

best regards,
Jens

--

Sarah Goslee
http://www.functionaldiversity.org