them to draw the surface with the contour()
command. The grid item is available from vegan working version 1.16-3
(revision 532) in R-Forge, and Windows binary is available (probably)
from tomorrow morning (Central European Standard Time).
Best wishes, Jari Oksanen
--
Jari Oksanen [EMAIL
effect on the scales. The choice of
clustering method has a huge impact.
cheers, Jari Oksanen
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(and go
along the axes), then it would be meaningful to look a the
relationship of axis and something else.
And indeed, there is no constrained NMDS in vegan. It is unconstrained
with an interpretation through vector fitting.
cheers, jari oksanen
Stephen Sefick
On Sat, Dec 6, 2008 at 11:58 AM
in which Gavin Simpson and Jari Oksanen
states that are not available routines in vegan to retrieve this
information.
I am interested in the length of the DCCA/pCCA axis as I would like to
perform a similar analyses to the one Lancaster et al. 1996 performed
to measure community persistence
E. C. Pielou may be one of the first who wrote about this. Check her book
'Mathematical ecology' (J. Wiley, 1977).
Best wishes, Jari Oksanen
-Original Message-
From: Paulo Inácio de Knegt López de Prado
Sent: 04.07.2009, 17:35
To: r-sig-ecology@r-project.org
Subject: [R-sig-eco
that species are not points nor arrows. Vegan
tutorial (from the Web) gives an example.
Cheers, Jari Oksanen
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of the other parameters (c-g) turn out to be,
as well as the model fit when using the forced parameters in conjunction
with the free parameters.
Cheers, Jari Oksanen
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On 1/10/09 20:36 PM, Sarah Goslee sarah.gos...@gmail.com wrote:
I can only speak for the mantel() within ecodist, but I can tell you that it
will not take full matrices - the upper triangle will be dropped. You could
roll your own very easily, but it would be exceedingly slow, eg:
mat1 -
easily
spot those changes (probably in BiodiversityRGUI, diversityresult,
diversityresult0). I have cc'ed this to Roeland Kindt, but I think the
Internet connection is not always so good so that it may take some time
before he answers. I can look if I can hack around this in vegan.
Cheers, Jari
On 12/10/09 19:54 PM, Roman Luštrik roman.lust...@gmail.com wrote:
Hello list,
I have a felling this is a generic error but nonetheless, it has been
bugging me extensively. If anyone can chip in, I would most appreciate.
I'm trying to calculate expected species richness, following
tests available in several
packages in R, but what are the things you want to solve by using
dissimilarities?
Cheers, Jari Oksanen
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their conflicting
arguments make sense, they are not yet an optimal solution.
Cheers, Jari Oksanen
so we thought it would be a good idea not to use mantel and friends
since the problem of IBD seems to need a different approach here.
best,
Jens
Sarah Goslee schrieb:
That doesn't make much
. They are
not the same as the strict rotation scores for factors in Gower metric (but
should be the same as the Legendre scores for continuous variables), but may
be more intuitive.
Cheers, jari oksanen
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print.wcmdscale!)
NMDS is really intended for nonlinear mapping onto *low* number of
dimensions.
Cheers, Jari Oksanen
NMS.trial
Call:
metaMDS(comm = sqrtABCD, distance = bray, k = 23, trymax = 100,
autotransform = F)
Nonmetric Multidimensional Scaling using isoMDS (MASS package)
Data
this: stress 11.6 is really fine.
I think that if you get stress down to 5% (0.05) or less, then there is
something fishy in your data or in your model specification, like
overfitting.
Cheers, Jari Oksanen
But,
of course, our goal is to reduce the observed complexity of nature
On 3/12/09 23:54 PM, gabriel singer gabriel.sin...@univie.ac.at wrote:
Hi everybody,
Anybody has used capscale() in package vegan to compute a PCoA-CDA as
suggested by Anderson and Willis 2003 (Ecology 84: 511 ff) using one or
more factors as predictors?
Then I wonder about:
*) How to
for mixed models in any other vegan function.
Cheers, Jari Oksanen
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if
you are serious), dig up the late 2008 issue of the Ecology with the
Legendre mates vs. Tuomisto discussion -- somewhere around pages 3230 to
3256 of vol 89).
That's for the starter.
Cheers, Jari Oksanen
I've been exploring using this approach for a similar problem. I'd be
curious to know
(CCA) model after using the
function goodness.cca in vegan. In his explanation of the diagnostic
tools for CCA
(http://cc.oulu.fi/~jarioksa/softhelp/vegan/html/goodness.cca.html),
Jari Oksanen states that It is a common practise to use goodness
statistics to remove
species from ordination
that in no case would the 'station' change in fitted models
and all permutations would have identical statistics (within numerical
accuracy).
adonis() does not have plot method, but you can use betadisper for plots.
Cheers, Jari Oksanen
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appreciated...thanks
Jason,
Is it sufficient to draw lines with graphical par()ameter xpd = TRUE? For
instance,
plot(0:1, 0:1, type=n)
segments(-1, -2, 2, 2, col=2, xpd=TRUE)
lines(c(-0.1, 1.1, 1.1, -0.1, -0.1), c(-0.1, -0.1, 1.1, 1.1, -0.1), xpd=T)
abline(0, 1, xpd=TRUE)
Cheers, Jari Oksanen
. Would I be a
referee or an editor for this kind of ms, I would be very skeptical ask for
the proof of the validity of the null model.
Cheers, Jari Oksanen
I don't see this as being a
real
problem with the large matrices I'll deal with though, but
definitely
something to be aware of.
If you're
(not totals) fixed (thus fill, too);
3) abuswap: row and column occurrences (and so the fill) fixed, and
row OR column totals (this latter algorithm was published by Hardy
2008 J Ecol 96, 914-926).
Maybe this abuswap is the closest to the one you wanted.
Cheers, Jari Oksanen
and add an
argument for the purpose.
Cheers, Jari Oksanen
Here is the code I use if of any help:
cca.plot3d - ordiplot3d(CCA, type=h, angle=40)
text(cca.plot3d, points, pos=c(4, 4, 2, 4, 3, 4, 2, 2, 4, 2))
text(cca.plot3d, arrows, cex=0.7)
points(cca.plot3d, points)
Cheers,
Roman
On 19/01/10 10:17 AM, Roman Luštrik roman.lust...@gmail.com wrote:
Thank you Jari and Ben.
I have tried something along the lines what Ben suggested but stopped and
asked here if there's a better way, as I didn't want to invent the wheel
(yet crude one).
Roman,
I think the only sustainable
sets have 2.5 dimensions (Kruskal).
Cheers, Jari Oksanen
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and env: only two observations were left in the example subset
you had in your message. I'm not sure that so fragmented models are
meaningful.
Best wishes, Jari Oksanen
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.
Cheers, Jari Oksanen
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-emptiness. You have other tools for this, like looking at the object (or
writing a query to a mailing list).
Cheers, Jari Oksanen
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the error message you got from
scale.default.
HTH, Jari Oksanen
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, but there is an improved way. Check ordistep()
for Canoco-style analysis, and add1.cca, drop1.cca for another ways.
Cheers, Jari Oksanen
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On 26/04/10 13:42 PM, Christine Griffiths
christine.griffi...@bristol.ac.uk wrote:
Dear All,
I have done pairwise comparisons of species compositions between three
treatments (1 v 2, 1 v 3, and 2 v 3) which were replicated 6 times (i.e. 6
blocks). To avoid multiple testing I have decided to
arrows and labels, and points() only
unlabelled arrows.
See ?text.cca, ?points.cca for details and further arguments.
Cheers, Jari Oksanen
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of this is completely untested.
Cheers, Jari Oksanen
PS. When you ask for the advice on non-standard commands defined only in
packages, you should tell us what are the packages involved. In this case,
metaMDS and ordisymbol are in different packages so that you need extra care
in their interface, and you should
() that is used instead of the one in vegan. Which
one of the competing versions of scores() is used depends on the order
they are loaded and attached, and how the different scores() are located
in the search path. -- If scores() is the problem.
Cheers, Jari Oksanen
?
Cheers, jari oksanen
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seems not to work.
1 - cor(dat) ## dissimilarity
Actually the canonical transformation to distance is sqrt(2-2*cor(dat)).
Cheers, Jari Oksanen
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or negative data while you are fairly
sure that you don't have them, the common rule is that you're wrong and R
is right. Check your data to see that it is like you expect it to be. This
is not an issue to argue with computers: they always win.
Cheers, Jari Oksanen
in selecting the species to
display?
I will be very grateful for any help.
HTH, Jari Oksanen
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:
update(m, . ~ . - Use)
As usual, contributions are welcome.
Cheers, Jari Oksanen
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don't know yet
if this is just like it should be or should we do something with this.
Cheers, Jari Oksanen
On 10/08/2010 1:21, Adriano Melo grumi...@yahoo.com.br wrote:
Dear colleagues,
I and a graduate student (Fabiana Schneck) are using the adonis() function in
vegan to test for the effect
On Wed, 2010-08-18 at 11:14 +0300, Jari Oksanen wrote:
On Wed, 2010-08-18 at 09:50 +0200, Opdekamp Wout wrote:
Hi all,
In Primer/permanova+ it is possible to get the pearson correlation of a
species with the axes of NMDS or capscale. Is it possible to extract or
calculate these as well
the warning. That's life, but no reason to worry.
You can see this by looking and plotting the results.
Cheers, Jari Oksanen
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of the above-zero count
data, use the truncated negative binomial model offerred by
pscl::hurdle(). It is designed for the purpose (and has a more exciting
narrative for ecologists).
Cheers, Jari Oksanen
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packages) using
install.packages(gravy, repos=http://r-forge.r-project.org;)
or selecting the repository address in the GUI installer.
The package is unreleased and experimental, and there may be rough edges.
Proceed with care.
Cheers, Jari Oksanen
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zero columns (any(colSums(tmp) = 0)).
Cheers, Jari Oksanen
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of pcnm() functions (it seems that
one line is enough).
I think CCA and adonis is not a good coupling: CCA is weighted method using
Chi-square metric and adonis is unweighted using Euclidean metric. Coupling
RDA and adonis or capscale() and adonis (for non-Euclidean case) is more
natural.
Cheers, Jari
dissimilarities you will have some negative eigenvalues. These
are ignored in db-RDA (capscale), but they are taken into account in adonis.
Which method to use depends on your questions, and what else you want to do
with your data than get the test statistics.
Cheers, Jari Oksanen
to the
surface:. The full space analyses by Marti Anderson even handle the
imaginary dimensions (associated with negative eigenvalues in metric MDS)
within the function which may be very hard to handle with explicit PCoA.
Cheers, Jari Oksanen
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use functions like lm(), glm(), nls(),
gam() or some hundred other alternatives in packages to analyse the results.
Cheers, Jari Oksanen
-Burak
From: Andy Rominger [mailto:ajromin...@gmail.com]
Sent: Tuesday, November 23, 2010 4:11 PM
To: steve_fried...@nps.gov
Cc: Pekin, Burak K; r-sig
PERMANOVA standalone software binaries in Windows), you can use
adonis() of vegan which does this like it should be done.
Cheers, Jari Oksanen
-Original Message-
From: Jari Oksanen [mailto:jari.oksa...@oulu.fi]
Sent: Wednesday, November 24, 2010 5:35 PM
To: Pekin, Burak K; 'Andy
was your problem, so we have no idea if you had a
meaningful analysis.
Cheers, Jari Oksanen
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). Therefore I'd
like to think a bit before I release these functions: there is a danger
people may use them...
Cheers, Jari Oksanen
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(different farms) of the
transects, and that seems to work well.
Thanks much
Your tutorial is very helpful as well.
Michael Wilson.
University of Tennessee
From: Jari Oksanen [jari.oksa...@oulu.fi]
Sent: Friday, December 17, 2010 12:37 AM
Martin,
I have supposed that functions poolaccum() and estaccumR() do this. If
they are not suitable for your needs, please tell me what you want to
achieve.
These two functions have been in vegan since release 1.15-4 (7
September, 2009).
Cheers, Jari Oksanen
On Tue, 2011-01-18 at 09:22
be considered for pairwise
comparisons. A separate set of tools is needed for pairwise comparison
in this context, and we do not provide those tools (but contributions
are welcome).
Cheers, Jari Oksanen
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On 21/01/11 15:32 PM, Martin Unterseher
martin.unterse...@uni-greifswald.de wrote:
Dear Jari,
thank you for your help. The plots are fine and really valuable.
However, when I tried to generate a Sweave-based file, all plot()
commands following poolaccum() (e.g.
\begin{figure}
fig=true
, and since you use lattice graphics, you
must print() it. This works:
\begin{figure}
fig=true,echo=false=
pool.test-poolaccum(test)
print(plot(pool.test))
@
Cheers, jari oksanen
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of the
capabilities() command: are items tiff and cairo TRUE or FALSE?
Cheers, Jari Oksanen
On Tue, Feb 22, 2011 at 12:16 PM, Howe, Eric (MNR) eric.h...@ontario.ca
wrote:
Good day list members,
I can't save my plot as a .tiff using Cairo (error message: not
supported) or the tiff() function
occur on
your site or then not (begins to sound as a tricky as trying to say is you
is or is you ain't my species).
Cheers, Jari Oksanen
On 5/03/11 00:40 AM, Michele Tobias tobias.mich...@gmail.com wrote:
Hello,
I'm building species response curves for several species (one curve for
each species
permutation. I have no idea of your hypothesis, though, and I can't help
here.
Cheers, Jari Oksanen
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, you can
proceed like this:
xy - with(varechem, cbind(pH, Humdepth))
xy - scale(xy)
# check: cor(xy)
# consider: xy - scores(prcomp(~ pH + Humdepth, data=varechem, scale=TRUE))
ord3 - metaMDS(varespec, k=3)
pro - procrustes(xy, ord3) # will re-scale scores of ord3!
rot3 - fitted(pro)
Cheers, Jari
factors.
Cheers, Jari Oksanen
Thanks in advance for clearing this up.
Cheers,
A
--
View this message in context:
http://r-sig-ecology.471788.n2.nabble.com/adonis-with-continuous-variables-tp6
155914p6157029.html
Sent from the r-sig-ecology mailing list archive at Nabble.com
, and these become inadequate for
variables used in stratified sampling.
So the answer to question one: don't use the same variable in the model that
you have as a stratum.
Cheers, Jari Oksanen
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https
not occur in your data) will influence your data. That is
only informational, and not an error.
Cheers, Jari Oksanen
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'
as you can see if you read the help page ?metaMDS (which may not be a bad
idea).
Cheers, Jari Oksanen
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out how to perform a BVSTEP,
So what is BVSTEP?
Cheers, Jari Oksanen
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haven't done that yet (contributions are welcome
and will be credited in the documentation).
Cheers, Jari Oksanen
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of
the project after the initial contact.
I do think that Twinspan is a suboptimal choice for classification problems,
but I won't go into details. I urge you to study its behaviour yourself if
get your hands on Twinspan.
Cheers, Jari Oksanen
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useful data directly.
I also wrote a small funny test on TWINSPAN principle, where the splitting
and pre-defined pseudospecies where replaced with regression tree split.
I'll send you a copy of that and the FORTRAN (IV, I think) code I have in a
separate message.
Cheers, Jari Oksanen
?envfit, ?ordisurf.
Cheers, Jari Oksanen
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.
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is a measure of
*multi*collinearity. Removing some other variables than those two key ones
may reduce the VIF of the remaining. Construct your model carefully.
If the VIF still disturbs you, don't calculate the VIF.
Cheers, Jari Oksanen
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On 9/05/11 17:55 PM, Tyler Smith tyler.sm...@eku.edu wrote:
Jari Oksanen jari.oksa...@oulu.fi writes:
Why does vegan not plot species as arrows in plot? I know how to use
scores() and arrows() to create my own arrows, but it seems odd that
this feature is not built in. Is there ever
.
Perhaps they will help you.
We can start from the easier part: what makes a good class, in your opinion?
Should they be uniform? or compact? or connected? or distinct? These
criteria are contradictory and you must make your pick.
Reading a good book may help.
Cheers, Jari Oksanen
^2
[1] 0.4780616
Which are identical in three decimal places to those values that AW
reported (and they reported squared values).
# The only Eigenvalue related value I find is dune.cap$tot
What about dune.cap$manova$Eigenvalues?
Cheers, Jari Oksanen
not be
the most effective one if you want to reduce the influence of most abundant
species that usually contribute most to the total variance.
Cheers, Jari Oksanen
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).
Cheers, Jari Oksanen
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in which case it is outside 95%
of the permuted values?
Cheers, Jari Oksanen
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constant within strata, you can get high R2, but no
significant results. You know your data best (and you have access to your
data), so check yourself.
Cheers, Jari Oksanen
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you dispersion for classes: I have no idea what is the SD of
*dissimilarities* (and the same applies for the averages of
dissimilarities), but betadisper() gives you meaningful values.
Cheers, Jari Oksanen
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(varechem)
mod - rda(varespec ~ Al + P + K, varechem)
## species--environment correlation
spenvcor(mod)
## interset correlation
intersetcor(mod)
## correlations among constraints (why?)
cor(model.frame(mod))
HTH,
Jari Oksanen
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- metaMDS(bryceveg)
ordisurf(m ~ slope, brycesite, knots=1, bubble=4)
plot(envfit(m ~ slope, brycesite))
Cheers, Jari Oksanen
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?
Cheers, Jari Oksanen
First about defining an rda() model.
On 22/09/11 22:03 PM, Sibylle Stöckli sibylle.stoec...@gmx.ch wrote:
Dear R users
I am calculating a RDA for a dependent matrix (different variables for
tree performance) and different explanatory variables (species
identitiy
] A2 A3 A4 A5 ...
.. ..$ : chr [1:19] PCNM1 PCNM2 PCNM3 PCNM4 ...
$ values : num [1:29] 71640230 66080002 58129580 29179643
16447538 ...
$ weights : num [1:30] 1 1 1 1 1 1 1 1 1 1 ...
$ threshold: num 1092
- attr(*, class)= chr pcnm
Cheers, Jari Oksanen
or get a latest version of ordiarrows from
http://vegan.r-forge.r-project.org (I uploaded a new version with an
option to re-order points within groups some minutes ago as revision
1985).
Cheers, Jari Oksanen
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for me.
However, like Gav said, this may not be a meaningful test (but still
calls for a fix in vegan). If I remember correctly, Marti Anderson had
interactions in her software, but that was dropped from current
versions.
Cheers, jari oksanen
For the dune dataset, the above error occured
(). Although I said that adonis() does not do MANCOVA,
you can get the same F-values but with permutation statistics if you use
Euclidean distances:
adonis(dist(Y) ~ Year*(Lat + Lat2))
However, that should not be called as MANCOVA (because it is not
MANCOVA).
Cheers, Jari Oksanen
Con fecha 25/11
On 25/11/2011 18:26, Michel Rapinski mrapi...@uottawa.ca wrote:
Thanks for the help.
What exactly is it called if it is not a MANCOVA and how does it differ
from a true MANCOVA?
What about a (multiple) linear model?
Cheers, Jari Oksanen
On 28/11/2011 17:33, Canning-Clode, Joao canning-clo...@si.edu wrote:
Dear list,
I am kind of new to R. I want to fit the nonlinear Morgan-Mercer-Flodin (MMF)
growth model in a species accumulation curve (SAC) run with vegan package in
.R. I would very much appreciate if you could give
(communitydat, bray)'. Is this only misleading or a user error? The
file name sounds like you already had dissimilarities as the input, and if
this is the case, you should not calculate dissimilarities of
dissimilarities.
Cheers, Jari Oksanen
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something else and cannot be done light-heartedly.
Cheers, Jari Oksanen
On 23/12/2011, at 21:49 PM, Gavin Simpson wrote:
Hi Matt,
Would you mind sending me the data *off list* so I can see if I can
reproduce. The failure is within a basic part of the R stack (Lapack
matrix algebra code supplied
this disagree with your reading?
Cheers, Jari Oksanen
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Jari Oksanen, Dept Biology, Univ Oulu, 90014 Finland
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want to have
something more?
Cheers, Jari Oksanen
--
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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in the development branch, and we need to clean
the table with minor stable releases to be able to have a larger update of
vegan (to 2.2-0).
Cheers, Jari Oksanen
On 29/04/2011, at 13:03 PM, Eduard Szöcs wrote:
Hai Kari,
as far as i know SimPer is not available in vegan.
I have written
-1.56716987
Do you have any idea about this error?
So what is the error?
Cheers, Jari Oksanen
--
Jari Oksanen, Dept Biology, Univ Oulu, 90014 Finland
jari.oksa...@oulu.fi, Ph. +358 400 408593, http://cc.oulu.fi/~jarioksa
solution is to request only one axis when there is only one axis:
use argument 'choices':
p1 - ordiplot(Ordi, choices=1)
Cheers, Jari Oksanen
--
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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