Displaying 20 results from an estimated 2000 matches similar to: "OHPL - new package for group variable selection"
2017 Aug 16
0
Statistical / data mining methods in R and not in SAS?
> On Aug 14, 2017, at 12:22 PM, fs <mail at friedrich-schuster.de> wrote:
>
> Hi, and sorry for asking such an unspecific question.
>
> Does anybody know of statistical / data mining methods that are available in R
> that are not in SAS ? With SAS I mean the SAS System Version 9.4 and SAS
> Enterprise Miner. I don't expect a complete list, just two or three
2017 Aug 14
1
Statistical / data mining methods in R and not in SAS?
Hi, and sorry for asking such an unspecific question.
Does anybody know of statistical / data mining methods that are available in R
that are not in SAS ? With SAS I mean the SAS System Version 9.4 and SAS
Enterprise Miner. I don't expect a complete list, just two or three examples
or hints where and what to look for.
I found some older comparisons, and the R methods mentioned there
2008 Jul 10
0
ppls: version 1.02 including a new data set
Dear R users,
an update of the package ppls - Penalized Partial Least Squares - is now
available on CRAN.
It implements the methods described in
N. Kr?mer, A.-L. Boulesteix, G. Tutz
"Penalized Partial Least Squares with Applications to B-Spline
Transformations and Functional Data"
Chem. Intell. Lab. Sys. 2008
http://dx.doi.org/10.1016/j.chemolab.2008.06.009
Features of the package
2008 Jul 10
0
ppls: version 1.02 including a new data set
Dear R users,
an update of the package ppls - Penalized Partial Least Squares - is now
available on CRAN.
It implements the methods described in
N. Kr?mer, A.-L. Boulesteix, G. Tutz
"Penalized Partial Least Squares with Applications to B-Spline
Transformations and Functional Data"
Chem. Intell. Lab. Sys. 2008
http://dx.doi.org/10.1016/j.chemolab.2008.06.009
Features of the package
2006 Feb 07
2
Using R to process spectroscopic data
Dear R-users,
I would like to process some spectroscopic data with R, and I was hoping
some people might have some example code on how to do this.
I would like to be able to do the following things:
* Detect outlier-spectra -> This can be done by using scoreplot from the
pls package
* Determine the range of the spectrum to be used -> For this, I should
be able to calculate the regression
2005 May 13
0
df and gcvpen for parameters selection on projection pursuit regression
Hello,
I am using projection pursuit regression parameters selection.
Does anyone has experience on the range to test for df parameter (spline kernel) and gcvpen (gcvspline kernel)?
I don't find any information about this.
Thanks in advance.
Joao Moreira
[[alternative HTML version deleted]]
2003 Oct 16
1
princomp with more coloumns than rows: why not?
As of R 1.7.0, princomp no longer accept matrices with more coloumns
than rows. I'm curious: Why was this decision made?
I work a lot with data where more coloumns than rows is more of a rule
than an exception (for instance spectroscopic data). To me, princomp
have two advantages above prcomp: 1) It has a predict method, and 2)
it has a biplot method.
A biplot method shouldn't be too
2012 Oct 04
1
data structure for plsr
I am having a similar problem understanding the data structure of the
"yarn" dataset described in the "[R] data structure for plsr" posts. I have
spectroscopic data I'd like to run through a PLSR and have read the
tutorial series, but still do not understand the data format required for
the code to process my data. My current data structure consists of a .csv
file read into
2011 May 04
1
Outlier removal by Principal Component Analysis : error message
Hi,
I am currently analysis Raman spectroscopic data with the hyperSpec package.
I consulted the documentation on this package and I found an example
work-flow dedicated to Raman spectroscopy (see the address :
http://hyperspec.r-forge.r-project.org/chondro.pdf)
I am currently trying to remove outliers thanks to PCA just as they did in
the documentation, but I get a message error I can't
2011 May 31
1
Projection Pursuit Index
Dear R-developers,
I am trying to experiment with projection pursuit (PP), and different
indexes for the same, especially using the tourr package. However, I've
noticed that a PP index in the said package is only a function of the
projected data. Could I modify the function so that the index sees the
projection bases instead (or in addition to the data) ?
Alternatively, if some other package
2005 Jul 11
1
Projection Pursuit
Hello,
Just a quick question about ppr in library modreg.
I have looked at Ripley and Venables 2002 and it says that projection
pursuit works "by projecting X in M carefully chosen directions"
I want to know how it choses the directions? I presume it moves around the
high-dimensional space of unit vectors finding ones that separate the
response variables, but how.
I looked at the
2010 Jan 29
0
Classification of supernovae - a challenge
Hi all,
I thought I'd just point out, to those not having yet seen this, that
today there was a classification challenge posted for astronomy.
The web-site is http://www.hep.anl.gov/SNchallenge/
[I have nothing to do with this project so don't ask me any details!]
Basically the idea behind is that future surveys of the sky will turn
up a large number of supernovae (SNe). The
2012 Jul 25
0
hyperSpec user survey
Dear all,
I'm looking for users of the hyperSpec package for handling
(hyper)spectral or spectroscopic data in R which I maintain.
First of all, I made a few announcements concerning the further
development which can be found in the hyperSpec-help mailing list an on
which I hope to get user feedback: see
http://lists.r-forge.r-project.org/pipermail/hyperspec-help/2012-July/thread.html.
My
1999 Jan 21
0
Re: help with R/S functions on nonpar. regression
>>>>> "Jose" == Jose Ramon G Albert <toots at info.com.ph> writes:
Jose> I have just downloaded this freeware version of R (which seems
Jose> to be a clone of S). I was wondering if anyone knows where I
Jose> could obtain R or S functions which provide nonparametric
Jose> regression curves, e.g. kernel estimators or smoothing
Jose> splines.
2011 Feb 16
0
Constraints in projection pursuit regression
Hi,
I am solving a projection pursuit regression problem, of the
form y = \sum_i f_i (a_i^T x), where a_i are unknown directions, while
f_i are unknown univariate link functions. The following is known about
each f_i:
1. f_i (0) = 0 (that is, each f_i passes through the origin)
2. f_i is monotonic.
Is there a way to ensure that the function ppr() in R produces solutions that respect the
1998 Aug 31
0
Packages aov, modreg, lqs, psplines
I now have versions of code that is destined (I believe) for 0.63 which
is in a suitable state for comment. The files are at
ftp://ftp.stats.ox.ac.uk/pub/R
(Our www server is being moved, so may be intermittently down, but this
ftp server should be stable.) All are R packages, for the moment for
personal use only (no re-distribution). Use with 0.62.3 or 0.63 (although
I am aware of some
2010 Jul 29
1
Crash report: projection pursuit & predict
Folks,
The projection pursuit regression function in the base R seems to crash when the optimization level is set to zero, i.e. the initial ridge terms are accepted without refitting. I encountered this problem in an out-of-sample prediction exercise using predict. But further investigation suggests the issue is with the ppr fit and predict just sppeds up the crash. The other optlevels seem to be
2008 Oct 28
1
Source code for ppr (Projection Pursuit Regression)
Dear R users,
I am looking for the source code of the implementation of ppr (Projection
Pursuit Regression) in R.
It will be great if citations of the source papers on which the
implementation is based, are also provided.
Thank you,
Arvind Iyer,
Grad student, Deptt. of Biomedical Engineering
Viterbi School of Engineering
University of Southern California, Los Angeles
[[alternative HTML
2004 Mar 17
6
projection pursuit
Dear helpers
Does R have a package that performs projection pursuit density estimation? Or
anyone knows code in Matlab or C for example to do this?
Thank you all
Luis
2000 Sep 01
1
Help with Projection Pursuit, ppr().
Hi,
Recently, I installed the 1.1.0 version of R (for Windows), since it includes an implementation of Projection Pursuit (I failed to write my own version of PP as a standalone C++ program).
As far as I know, R offers two interfaces/sintax for the ppr() function. The first one requieres a regression formula and a data frame. The other requieres X, a matrix with the explanatory variables, and Y,