Gavin:
[...]
> I think you should read ?load to rethink what these functions do and how
> they do it.
[...]
Absolutely correct. I will. Thank you for your time Gavin, Nikos
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Nikos:
> > I finally ran mrpp tests. I think all is fine but one very important
> > issue: I
> > have no idea how to export/save an "mrpp" object. Tried anything I
> > know and
> > searched the archives but found nothing.
David W:
> And what happened when you tried what seems like the obvious:
Greets (again) :-)
I finally ran mrpp tests. I think all is fine but one very important issue: I
have no idea how to export/save an "mrpp" object. Tried anything I know and
searched the archives but found nothing.
Any ideas? Is really copy-pasting the mrpp results the only way?
Thank you for yo
This time with a more-R oriented question:
Is the mrpp {vegan} package [1] useful in trying to check, or get a clue about
the differences between- and within-axes (or variables or dimensions or
columns) of a multivariate matrix?
The description explains:
" ...(MRPP) provides a test of whether
On Wednesday 22 of December 2010 05:57:17 Nikos Alexandris wrote:
[...]
> Apologies for repeating the same question (trying to understand the problem
> myself).
I started to get a grip on this. But anyway, my questions are actually not
directly about R questions - sorry for the t
Hi!
My question(s) in the end might be silly but I am no expert on this, so here
it goes:
Noy-Meir (1973), Pielou (1984) and a few others have pointed to non-centered
PCA being in some cases useful. They clearly explain that "it is the case"
when multi-dimensional data display distinct cluster
Hi!
My question(s) in the end might be silly but I am no expert on this, so here
it goes:
Noy-Meir (1973), Pielou (1984) and a few others have pointed to non-centered
PCA being in some cases useful. They clearly explain that "it is the case"
when multi-dimensional data display distinct cluster
Christofer Bogaso wrote:
> Dear all, I am looking for some interactive study materials on Principal
> component analysis. Basically I would like to know what we are actually
> doing with PCA?
Having in mind the eigenvalue decomposition and a bivariate data set, the sum-
it-all in a few sentences I
On Wednesday 30 of June 2010 23:02:09 afso...@unisinos.br wrote:
> Hi all,
>
>I am using the vegan package to run a prcincipal components analysis
> on forest structural variables (tree density, basal area, average
> height, regeneration density) in R.
>
>However, I could not find out ho
Peter Ehlers wrote:
> > and then use the rest of the plotpc() code as is (except for
> > maybe having to use flip1=TRUE, etc).
Nikos:
> Hmm... I am _now_ working on it to understand how I could make this
> "automatic"!.
>
> If I give flip1, flip2 (=TRUE) the histograms are located where they shou
Peter Ehlers wrote:
> Nikos,
>
> I think you can just replace the line
>
> pc <- princomp(x[,1:2], scores=TRUE, na.action=na.fail)
>
> with
>
> pc <- prcomp(x[,1:2], retx=TRUE, center=pc.center,
> scale.=pc.scale, na.action=na.fail)
>
> and rename the components of
Nikos Alexandris:
> Among the (R-)tools, I've seen on the net, for (bivariate) Principal
> Component scatter plots (+histograms), "plotpc" [1] is the one I like
> most.
[...]
> I started the modification by attempting first to get a "prcomp" version of
>
On Saturday 15 of May 2010 19:09:30 Nikos Alexandris wrote:
> Among the (R-)tools, I've seen on the net, for (bivariate) Principal
> Component scatter plots (+histograms), "plotpc" [1] is the one I like
> most.
[...]
[1] <http://cran.r-project.org/web
Dear R-list,
Among the (R-)tools, I've seen on the net, for (bivariate) Principal Component
scatter plots (+histograms), "plotpc" [1] is the one I like most.
By default it performs PCA on a bivariate dataset based on R's "princomp()"
(which is the eigenvector-based algebraic solution to PCA). I
ity.matrices()".
3. the long command built-up using "assign()" and "else()" ? For some reason
the functions fails to run if the "else(...)" statement is moved in the next
line. For this reason the script "separability.matrix.R" does not respect the
&q
ance, Nikos
# --- Code ---
# Custom function for various Separability Measures
# by Nikos Alexandris, Freiburg, 8.04.2010
# ( based on Divergence and Jeffries-Matusita, requires input variables
"as.matrices" )
On Tue, 2010-04-06 at 19:29 +0200, Nikos Alexandris wrote:
> Jeff Brown wrote:
> > > Wow, you guys are awesome. Thanks!
>
> Nikos Alexandris wrote:
> > Thanks for the "cat()" question Jeff and to all guRus out there for the
> > replies. This is something
Jeff Brown wrote:
> > Wow, you guys are awesome. Thanks!
Nikos Alexandris wrote:
> Thanks for the "cat()" question Jeff and to all guRus out there for the
> replies. This is something I was looking for the last hour.
I can't seem to make this run:
I have a fu
On Thu, 2010-03-25 at 11:54 -0800, Jeff Brown wrote:
> Wow, you guys are awesome. Thanks!
Thanks for the "cat()" question Jeff and to all guRus out there for the
replies. This is something I was looking for the last hour.
Nikos
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Nikos Alexandris wrote:
...
> >>> I have 6 data frames consisting of 6 rows x 7 columns put together from
> >>> other data.frames.
...
> >>> I want to give the following column names to each data.frame: ("SDev",
> >>> "PC1", &
Thanks to all for the replies. I'll post back here when I get things
working (...in a couple of days).
Nikos
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Greets to the list!
I am aware that this topic has been discussed several times. And I've
read quite some related posts [1]. Yet, can't seem to give a solution to
my problem.
I have 6 data frames consisting of 6 rows x 7 columns put together from
other data.frames.
Something like:
a b c d e
[Answering to the threads question]
For those who use Gnome's gedit, there is now RGedit:
http://sourceforge.net/projects/rgedit
Apologies if this was already posted,
Nikos
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On Wed, 2009-08-05 at 13:16 -0700, Steve Jaffe wrote:
> Why when I assign 0 to an element of an integer vector does the type change
> to numeric?
> Here is a particularly perplexing example:
> > v <- 0:10
> > v
> [1] 0 1 2 3 4 5 6 7 8 9 10
> > class(v)
> [1] "integer"
> > v[1] <- 0
try
On Tue, 2009-08-04 at 20:16 -0700, Mohan S wrote:
> HI
>
> am plotting different density plots in one graph each with a different
> color.
>
> And i want to add labels to plot mentioning which color belongs to which
> data series.
>
> p2 <- qplot(corArms, data = data1, geom = "density", adju
On Thu, 2009-07-02 at 00:01 -0500, Gene Leynes wrote:
> playwith(xyplot(z3), time.mode = TRUE)
WoW! Looks (and is) GrEaT!
Nikos
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megh:
> I want to create a number of vectors like :
>
> vec1 <- rnorm(1)
> vec2 <- rnorm(2)
> vec3 <- rnorm(3)
>
> and so on...
Maybe try the assign() function. Something like:
for (i in 1:10) assign ( paste ( "vec" , i , sep = "" ) , rnorm(i) )
Kind regards, Nikos
Hi R-specialists!
I would like to draw some hyperbolic (iso-)lines of a cost function in a
bi-dimensional space ( =shapes of a cost function ), based on (the
general form):
C(x) = c1*Ce + c2*Oe + c3*{ 1 - [ (1 - Ce)^a * (1 - Oe)^b ] }
where:
- Oe/Ce are Omission/Commission (ranging between 0 an
Maayt:
> I just imported two raster maps into R using the SPGRASS6 package, one
> containing elevation data and the other containing an erosion index:
> Kar_inc <-readRAST6("Incis_Kar", plugin=FALSE)
> Kar_dem <- readRAST6("DEM_Kar", plugin=FALSE)
>
> I just wanted to make a xy plot of erosion p
jim holtman:
> You might want to look at how to use 'lapply' to create lists. Here
> is one way of doing it:
>
> > # create test data
> > a_threshold <- b_threshold <- as.data.frame(matrix(sample(c(1:5,
> NA), 100, TRUE), 10))
> > classification <- c('a', 'b')
> > result <- lapply(classificatio
Hi R-list.
This is my first post. I'll try to be as precise as possible with the
difficulty I have to "get things done".
I have a hard time trying to construct a double "for" loop and create
within the inner loop new objects (in this case vectors).
I posted this question in a non-directly relate
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