no I mean maybe use a higher dimension solution- the other thing you
may wish to check out is package vegan which has an mds function and
very good viginettes, and is my favorite package for doing ordination
analysis (metaMDS uses isoMDS).
hope this helps
On Wed, Sep 3, 2008 at 9:03 PM, 陈武
There is still no call to isoMDS in your code, and nothing we can
reproduce.
It all depends on the dissimilarity matrix you have not given us: maybe
there is no good 2D representation of it.
Looks like you need to ask a local expert about what you are doing, for
this is a statistical and
haha...wrong code again, it's isoMDS not sammon in the 5th line.
Thanks for Victor Lemes Landeiro's and Brian D. Ripley's advice.
ÔÚ08-9-3£¬Prof Brian Ripley [EMAIL PROTECTED] дµÀ£º
There is still no call to isoMDS in your code, and nothing we can
reproduce.
It all depends on the
different dimensions?
On Wed, Sep 3, 2008 at 8:13 AM, 陈武 [EMAIL PROTECTED] wrote:
haha...wrong code again, it's isoMDS not sammon in the 5th line.
Thanks for Victor Lemes Landeiro's and Brian D. Ripley's advice.
ÔÚ08-9-3£¬Prof Brian Ripley [EMAIL PROTECTED] дµÀ£º
There is still no call to
No, the two dimensions are the same. It's a dissimilarity matrix in the txt
file.
data[x][x]=0 data[x][y]=data[y][x] and 0=data[x][y]=1.
2008/9/3, stephen sefick [EMAIL PROTECTED]:
different dimensions?
On Wed, Sep 3, 2008 at 8:13 AM, éæ¦ [EMAIL PROTECTED] wrote:
haha...wrong code
I apply isoMDS to my data, but the result turns out to be bad as the stress
value stays around 31! Yeah, 31 ,not 3.1... I don't know if I ignore
something before recall isoMDS.
My code as follow:
m - read.table(e:/tsdata.txt,header=T,sep=,)
article_number - ts(m, start = 2004,end=2008, frequency
Sorry, wrong code. The right one here:
library(MASS)
cl-read.table(e:/data.txt,header=T,sep=,)
row.names(cl)-colnames(cl)
cm-as.matrix(cl)
loc-sammon(cm)
jpeg(filename=e:/plot.gif,width = 480, height = 480, units = px,
pointsize = 12, quality = 75, bg = white, res = NA, restoreConsole = TRUE)
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