Displaying 6 results from an estimated 6 matches similar to: "How to plot arrows for a PLS plot with ggplot2?"
2008 Feb 14
1
Any mountain clustering method in R?
Dear all,
I wonder which R algorithm could perform a mountain clustering in an spatial
grid, in other words, having the coordinates of a map (x,y ... or even more)
and then the altitude/height at each point I would like to localise the
peaks of that topological surface. Which R algorithm can perform this? I see
it as a clustering problem where the peak should be at the center of each
cluster.
2008 Jul 02
1
Usage of rJava (.jcall) with Weka functions, any example?
Dear All,
I'd like to use Weka functions that are not implemented (do not have
interface) in RWeka, like the Remove function and others in the
future!
The .java() functionality is for that purpose but I haven't seen any
example with Weka functions. Could anyone give me hand in how to do
it? For instace if I want to use the
weka.filters.unsupervised.attribute.Remove?
1. in the R console,
2008 Feb 21
1
Finding local maxima (height) in a matrix data (6 spatial coordinates)?
Dear all,
I wonder which R algorithm could perform a search of local maxima in
an spatial grid, in other words, having the coordinates of a map
(x,y,z... up to 6 coordinates) and then the altitude/height at each
point (h) (in total 7 numerical variables) I would like to localise
the peaks (local maxima) of that topological surface. Which R
algorithm can perform this?
Thanks a lot,
Josep Maria,
2008 Jul 07
2
Colour clusters in a 2d plot
R experts,
I have three columns. c1 and c2 are numeric variables whereas c3 are the
clusters classes (nominal variable, 10 different: cluster1, cluster2,
cluster3, cluster4, cluster5 ....). I'd like to plot c1 against c2 (easy!)
in a 2D plot and put different color depending to the cluster class
automatically regardless the number of clusters.
Could anyone give a hand?
Josep Maria,
matrix
2010 Jun 28
0
Forecast Package in R: auto.arima function
Hey,
I have a few doubts with regard to the usage of the auto.arima function from
the forecast package in R.
*Background:*
I have a set of about 50 time-series for which I would like to estimate the
best autroregressive model. (I want to estimate the coefficients and order
of p). Each of the series is non-stationary and are also have a non-normal
distribution. The data is non-seasonal.
My
2008 Feb 03
0
[LLVMdev] 2.2 Prerelease available for testing
Target: FreeBSD 6.2-STABLE on i386
autoconf says:
configure:2122: checking build system type
configure:2140: result: i386-unknown-freebsd6.2
[...]
configure:2721: gcc -v >&5
Using built-in specs.
Configured with: FreeBSD/i386 system compiler
Thread model: posix
gcc version 3.4.6 [FreeBSD] 20060305
[...]
objdir != srcdir, for both llvm and gcc.
Release build.
llvm-gcc 4.2 from source.