Hi folks,
I look for a fast way to estimate a 3d fitting plane to my 3d data.
I do not want z~y+x as this is a regression model.
I just want the equation of the best plane that fits the data in 3d. Maybe
using princomp() and Total least squares?
Looking around I found some solutions but nothing
pr$rotation[3,3]),alpha=0.5,col=3,bbox=F)
decorate3d()
It seems fine; any advice is welcome
best
paolo
Da: R-sig-ecology <r-sig-ecology-boun...@r-project.org> per conto di Paolo
Piras <paolo.pi...@uniroma3.it>
Inviato: martedì 19 gennaio 20
times (the third dimension)
best
paolo
Da: Jeremy Chacon <chaco...@umn.edu>
Inviato: luned� 9 novembre 2015 16.21
A: Paolo Piras
Cc: R-SIG list; r-sig-ecology@r-project.org
Oggetto: Re: [R-sig-eco] 3d box plot
This doesn't directly answer your question,
Hi folks,
anyone could address me towards a R function/package able to do a 3d boxplot
similar to
http://158.132.155.107/oess/POSH/StatSoft/popups/popup125.gif
Thanks in advance
best
paolo
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Hi Carlos
Very briefly...
you could look at rda() in vegan (not that in calibrate)
partial and constrianed rda seems to be appropriate for your case.
Maybe you should code a bit for controlling your nested stratification variable
even if it is not very clear to me the nature of the data (sites vs
Hi,
maybe partial least squares:
you can run two separate partial least squares analyses and then comparing
vectors.
best
paolo
Da: r-sig-ecology-boun...@r-project.org r-sig-ecology-boun...@r-project.org
per conto di Eliot Miller eliotmil...@umsl.edu
...@gmail.com eliot.is...@gmail.com per conto di Eliot Miller
eliotmil...@umsl.edu
Inviato: venerd? 14 marzo 2014 15.19
A: Paolo Piras; highs...@highstat.com
Cc: r-sig-ecology@r-project.org
Oggetto: Re: [R-sig-eco] Comparing results of two CCAs
The partial least squares sounds really promising
environmental variables and
the ordination scores
best
paolo
Da: Jari Oksanen jari.oksa...@oulu.fi
Inviato: giovedì 17 ottobre 2013 9.32
A: Paolo Piras
Cc: r-sig-ecology@r-project.org
Oggetto: Re: [R-sig-eco] envfit() in vegan
On 17/10/2013, at 02:49 AM, Paolo
Dear list,
I write you because I do not understand the behavior of envfit() in vegan.
Basically, it takes a matrix coming from an ordination procedure and it fits on
it another matrix (often an environmental matrix).
The projections of points onto vectors have maximum correlation with
Dear list,
I would like to easily compute the adjusted R-square in a lm model without
intercept (excluding the intercept is essential for my analysis)
I found that RsquareAdj() in vegan returns NA if the argument is a
multiple-multivariate lm model thus including multivariate responses and
...@oulu.fi
Inviato: giovedì 3 ottobre 2013 14.25
A: Paolo Piras; r-sig-ecology@r-project.org
Oggetto: RE: [R-sig-eco] vegan RsquareAdj() for lm models
Specific reason is that nobody has implemented this. These things don't come by
automatic writing, but somebody must do them.
What would you expect
to have
non-centred RDA: I care too much about people and i don't want to do evil. If
you really *know* that you need non-centred RDA. then you know how to change
those lines of code in rda.default.
Cheers, Jari Oksanen
From: Paolo Piras [paolo.pi
Hi,
actually I think you CAN use them (as predictors or response either) because,
albeit in its unique way, NMDS **IS** a method to summarize a highly
multidimensional phenomenon.
best
paolo
Da: r-sig-ecology-boun...@r-project.org
Dear all,
I need to run a model with multivariate continuous responses and one (or more)
ORDINAL (i.e. 1,2,3, etc.) predictor variables; these are not factors because
are ordinal; the more intuitive solution could be to apply a standard lm() but
I ask you if some more appropriate strategies
I saw in some forum some considerations about this topic.
Maybe I propose a brutal (perhaps incorrect?) solution; given more than two
groups in a model subjected to permutation in adonis.and if the global
model is significant
if one contrasts pairwise all possible pair comparisons
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