Dear Jari,

Thank you very very much for your exhaustive explanation, now everything is
more clear.
Have a great day,

Gian


On 21 February 2012 07:06, Jari Oksanen <jari.oksa...@oulu.fi> wrote:

>
> On 20/02/2012, at 22:01 PM, Gavin Simpson wrote:
>
> > On Mon, 2012-02-20 at 14:30 -0500, Sarah Goslee wrote:
> >> References are given in the help for nmds. In particular, nmds() uses
> >> Kruskal's formulation.
> >
> > And you can read the code. Look at nmds, at the top of the function body
> > is an inline function sstress() which does the relevant computation,
> > IIUC.
> >
> Unfortunately reading the code is not always quite easy in R, but you have
> to decipher the logic of the whole function instead of single easy pieces.
> The inline function sstress() gives the formula, but you have to read
> further down to see what are the actual variables used in sstress(). If you
> do so, you see that the ecodist::nmds stress is defined as:
>
> sum((dmat - dist)^2)/sum(dmat^2)
>
> where 'dmat' are the input dissimilarities and 'dist' are the distances
> among points in the ordination configuration.
>
> This is *not* Kruskal's stress, at least not like he defined it in his
> 1964 papers in Psychometrika. In vegan::monoMDS and in MASS::isoMDS Kruskal
> stress (stress=1 in vegan::monoMDS) we define squared stress as:
>
> sum((dist-dhat)^2)/sum(dist^2)
>
> where 'dhat' are the fitted distances from the monotone regression, and
> 'dist' the distances among points in ordination configuration (like above).
>  So the stresses do differ, and that is sufficient to explain the
> differences.
>
> Cheers, Jari Oksanen
>
> >
> >> Sarah
> >> On Feb 20, 2012 1:48 PM, "Gian Maria Niccol Benucci" <
> >> gian.benu...@gmail.com> wrote:
> >>
> >>> Dear Gavin and Sarah,
> >>>
> >>> I've found how metaMDS() calculate the stress [using monoMDS() of
> vegan],
> >>> but I do not find how nmds() of ecodist do it so. Could you please
> link me
> >>> the page or where I can find it, maybe it escapes me...
> >>> Thank you very much for your aid,
> >>>
> >>> Gian
> >>>
> >>>
> >>> 2012/2/20 Gavin Simpson <gavin.simp...@ucl.ac.uk>
> >>>
> >>>> On Mon, 2012-02-20 at 17:24 +0100, Gian Maria Niccol Benucci wrote:
> >>>>> Dear Gavin,
> >>>>>
> >>>>> Thank you very much. I tried with your advice but the result is
> almost
> >>>>> unchanged...
> >>>>
> >>>>> Any further advice??
> >>>>
> >>>> Yeah, what Sarah said. Read the documentation; the two functions use
> >>>> different definitions of stress.
> >>>>
> >>>> You could always do a procrustes rotation on the two configurations to
> >>>> see how well they compare.
> >>>>
> >>>> G
> >>>>
> >>>>> Gian
> >>>>>
> >>>>>
> >>>>>
> >>>>>
> >>>>> 2012/2/20 Gavin Simpson <gavin.simp...@ucl.ac.uk>
> >>>>>
> >>>>>> On Mon, 2012-02-20 at 16:28 +0100, Gian Maria Niccol Benucci wrote:
> >>>>>>> Hi r-sig-ecology Members,
> >>>>>>>
> >>>>>>> I would please you to examine the differences I found in metaMDS()
> >>>> and
> >>>>>>> nmds() outputs and possibly draw some conclusions. As I wrote in
> >>> past
> >>>>>>> emails I have 24 samples of ectomycorrhizal fungi grouped into two
> >>>>>>> different communities (12 natural and 12 cultivated).
> >>>>>>>
> >>>>>>> here is the code:
> >>>>>>>
> >>>>>>>> metaMDS(data_matrix2, distance="bray", k=2, autotransform=F) ->
> >>>> metaMDS
> >>>>>>>> metaMDS
> >>>>>>>
> >>>>>>> Call:
> >>>>>>> metaMDS(comm = data_matrix2, distance = "bray", k = 2,
> >>> autotransform
> >>>> = F)
> >>>>>>>
> >>>>>>> global Multidimensional Scaling using monoMDS
> >>>>>>>
> >>>>>>> Data:     data_matrix2
> >>>>>>> Distance: bray
> >>>>>>>
> >>>>>>> Dimensions: 2
> >>>>>>> *Stress:     0.04536661 *
> >>>>>>> Stress type 1, weak ties
> >>>>>>> No convergent solutions - best solution after 20 tries
> >>>>>>
> >>>>>> Perhaps you could try running metaMDS with random starts until it
> >>> does
> >>>>>> find convergent solutions?! Why expect metaMDS() to do better in 20
> >>>>>> tries than nmds() with 100 random tries?
> >>>>>>
> >>>>>> add `trymax = 100` and `halfchange = FALSE` to try to make the two
> >>>>>> functions more comparable.
> >>>>>>
> >>>>>> HTH
> >>>>>>
> >>>>>> G
> >>>>>>
> >>>>>>> Scaling: centring, PC rotation, halfchange scaling
> >>>>>>> Species: expanded scores based on data_matrix2
> >>>>>>>
> >>>>>>>> nmds <- nmds(dist_bray, mindim = 2, maxdim = 2, nits = 100)
> >>>>>>> Using random start configuration
> >>>>>>> Using random start configuration
> >>>>>>> ...
> >>>>>>>> nmds_min
> >>>>>>>            X1          X2
> >>>>>>> 1  -0.66226262  0.16392824
> >>>>>>> 2 -0.68844987 -0.20891993
> >>>>>>> 3 -0.47717515  0.55323693
> >>>>>>> 4 -0.67213392 -0.09195847
> >>>>>>> 5 0.03305172  0.41844232
> >>>>>>> 6   0.31992006  0.53887910
> >>>>>>> 7  -0.61944875  0.34411146
> >>>>>>> 8 0.07013849  0.65723057
> >>>>>>> 9 0.53053436  0.37444633
> >>>>>>> 10  0.26704705  0.39849341
> >>>>>>> 11 -0.20981416  0.70391983
> >>>>>>> 12 -0.61620355 -0.43568743
> >>>>>>> 13 0.14219660 -0.69571194
> >>>>>>> 14 0.42365981 -0.43308767
> >>>>>>> 15 0.15840330 -0.12872863
> >>>>>>> 16 -0.00492407 -0.06889680
> >>>>>>> 17 -0.20513513 -0.58052156
> >>>>>>> 18 0.46546214  0.12019775
> >>>>>>> 19 0.36753709 -0.25048256
> >>>>>>> 20 -0.09446486 -0.61943616
> >>>>>>> 21  0.15010553 -0.31995009
> >>>>>>> 22  0.41540872 -0.29507200
> >>>>>>> 23  0.42573367 -0.12321584
> >>>>>>> 24  0.48081354 -0.02121688
> >>>>>>>> min(nmds$stress)
> >>>>>>> [*1] 0.2787161*
> >>>>>>>> nmds$r2[which.min(nmds$stress)]
> >>>>>>> [1] 0.6338372
> >>>>>>>
> >>>>>>> Is it possible I got so different stress values??
> >>>>>>>
> >>>>>>> Thanks for replying,
> >>>>>>>
> >>>>>>> _______________________________________________
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> >>>>>>
> >>>>>> --
> >>>>>>
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> >>>>>> Dr. Gavin Simpson             [t] +44 (0)20 7679 0522
> >>>>>> ECRC, UCL Geography,          [f] +44 (0)20 7679 0565
> >>>>>> Pearson Building,             [e] gavin.simpsonATNOSPAMucl.ac.uk
> >>>>>> Gower Street, London          [w] http://www.ucl.ac.uk/~ucfagls/
> >>>>>> UK. WC1E 6BT.                 [w] http://www.freshwaters.org.uk
> >>>>>>
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> >>>>>>
> >>>>>>
> >>>>>>
> >>>>>
> >>>>>
> >>>>>
> >>>>> *----- Do not print this email unless you really need to. Save paper
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> >>>> Dr. Gavin Simpson             [t] +44 (0)20 7679 0522
> >>>> ECRC, UCL Geography,          [f] +44 (0)20 7679 0565
> >>>> Pearson Building,             [e] gavin.simpsonATNOSPAMucl.ac.uk
> >>>> Gower Street, London          [w] http://www.ucl.ac.uk/~ucfagls/
> >>>> UK. WC1E 6BT.                 [w] http://www.freshwaters.org.uk
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> >>>>
> >>>>
> >>>
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> > Dr. Gavin Simpson             [t] +44 (0)20 7679 0522
> > ECRC, UCL Geography,          [f] +44 (0)20 7679 0565
> > Pearson Building,             [e] gavin.simpsonATNOSPAMucl.ac.uk
> > Gower Street, London          [w] http://www.ucl.ac.uk/~ucfagls/
> > UK. WC1E 6BT.                 [w] http://www.freshwaters.org.uk
> > %~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%
> >
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>
> --
> Jari Oksanen, Dept Biology, Univ Oulu, 90014 Finland
> jari.oksa...@oulu.fi, Ph. +358 400 408593, http://cc.oulu.fi/~jarioksa
>
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