similar to: projection pursuit

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

I've seen XGobi come up in here from time to time, and I wonder what is it, what is it for, do I need it? How about throwing me a bone here! -- Paul E. Johnson email: pauljohn at ukans.edu Dept. of Political Science http://lark.cc.ukans.edu/~pauljohn University of Kansas Office: (785) 864-9086 Lawrence, Kansas 66045 FAX: (785)

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

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

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,

Hi All: Package TSERIES is stated to depend on MVA. However, there is no MVA package to be found under the list of package sources. Best wishes, ANDREW tseries: Package for time series analysis Package for time series analysis with emphasis on non-linear and non-stationary modelling Version: 0.7-6 Depends: ts, mva, quadprog Date: 2001-08-27 Author: Compiled by Adrian

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

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]]

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

Hi, Is there a way to efficiently replace specified indices in a string with another character? For example, if I had a vector of strings such as [1] "hellohowareyoudoing" [2] "imgoodhowareyou" [3] "goodandyou" [4] "yesimgoodijusttoldyou" [5] "ohyesthatsright" and had a list of positions that I want to replace with the character "-"

Is there a less cryptic way to compare three or more values? allTheSame<-c("red","red","red","red") notAllTheSame<-c(132,132,132,999) all.identical <- function(vectorToTest){ cIdentical=sum(vectorToTest %in% vectorToTest[1]) return(cIdentical==length(vectorToTest)) } all.identical(allTheSame) all.identical(notAllTheSame) Thanks in

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I am working on a problem in which I have 2 groups of clusters, each of which was generated from the same original list of members. Within each group, the clusters cover the original list of members many times over. What I am interested in finding is the number of common elements in every pair of clusters when taking one from each group. In short, I need a FAST way of finding the number of

I always kind of liked this title (the title of Davids super Rails presentation), but then I saw this quote today: "The pursuit of happiness is a most ridiculous phrase; if you pursue happiness you''ll never find it." by C.P Snow I''d have to agree with this quote. It''s the same as love... go looking for it, and you''ll never find it. Soooo... David,

I am trying to install R-1.9.1 on an alpha (Tru64 unix) platform. I had no problem previously installing R-1.4.0, but cannot get the new installation to work. First I ran "configure" specifying an alternate installation directory: ./configure --prefix=/appl/R-1.9.1 then ran "make" (note that this is NOT gmake, which may make the difference). The error message I

I am trying to install R-1.9.1 on an alpha (Tru64 unix) platform. I had no problem previously installing R-1.4.0, but cannot get the new installation to work. First I ran "configure" specifying an alternate installation directory: ./configure --prefix=/appl/R-1.9.1 then ran "make" (note that this is NOT gmake, which may make the difference). The error message I

Take a look at package mgcv. Hope this helps. --Matt -----Original Message----- From: RenE J.V. Bertin [mailto:rjvbertin at despammed.com] Sent: Thursday, February 27, 2003 1:39 PM To: r-help at stat.math.ethz.ch Subject: [R] multidimensional function fitting Hello, I have been looking around for how to perform a multidimensional, arbitrary function fit (in any case non-linear; more below),

Hi, I'm trying to use fastICA package but I only get an error message like following. > library(fastICA) Error in dyn.load(file, DLLpath = DLLpath, ...) : unable to load shared library '/usr/lib/R/library/fastICA/libs/fastICA.so': /usr/lib/R/library/fastICA/libs/fastICA.so: undefined symbol: sgesdd_ Error: package/namespace load failed for 'fastICA' Here's the

Hi all, Does anyone know how to get the independent components and loadings from an Independent Component Analysis (ICA), as well as principal components and loadings from a Pricipal Component analysis (PCA) using the fastICA package? Or perhaps if there's another way to do ICAs in R? Below is an example from the fastICA manual (http://cran.r-project.org/web/packages/fastICA/fastICA.pdf)

Hi everyone It looks like repeated runs of fastICA produce quite significantly different mixing matrices (not only in terms of sign and row order). I'm not a specialist, so would appreciate any advice on whether this should really be the case: > res3 = > fastICA(af[,2:20],4,alg.typ="parallel",fun="logcosh",alpha=1,method="C",row.norm=TRUE) colstandard >