PS:
> ...For larger problems, there are more efficient nearest neighbor
> search algorithms, but I am not aware whether or where in R.
The 'but' subclause was wrong, one place to look at is the "yaImpute"
package and also this thread:
http://tolstoy.newcastle.edu.au/R/e4/devel/08/01/0158.html
Dear Miltinho,
there is also the function "matchpt" in the Biobase package (in
Bioconductor) that seems to do what you want (in n dimensions).
It's written in C, and the implementation is simple and of complexity
n*m. (For larger problems, there are more efficient nearest neighbor
search algor
au/bill.venables/
-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
On Behalf Of Gabor Grothendieck
Sent: Saturday, 9 February 2008 2:47 PM
To: Milton Cezar Ribeiro
Cc: R-help
Subject: Re: [R] shortest distance between two point pattern
Try using dist:
ix <- 1:nrow(df.
Try using dist:
ix <- 1:nrow(df.1)
m <- as.matrix(dist(rbind(df.1, df.2)))[ix, -ix]
which(min(m) == m, arr = TRUE)
On Feb 8, 2008 11:01 PM, Milton Cezar Ribeiro <[EMAIL PROTECTED]> wrote:
> Hi R-experts.
>
> I am working in a R-code where I have two datasets with x and y coordinates
> on each
Hi R-experts.
I am working in a R-code where I have two datasets with x and y coordinates on
each dataset.
I intent to identify the shortest distance between this two datasets. I wrote a
short code to do that.
But when I join the datasets to compute the distances, the merge function run
so slo
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