similar to: Independent Component Regression issue in R

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 >

I have been playing around with the FastICA algorithm in R, and I have come across the following issue. I'm new to this topic, so I'm hoping someone will be able to shed some insight. We know that the variance of the Independent Components is constrained to be 1 and they are uncorrelated, so the sum of squares of the coefficients of the mixing matrix (a$A) will give the variance of the

Hi ALL, Recently I confronted with a error in using package ProDenICA, when let k<p (exactly the example code with k=1, http://finzi.psych.upenn.edu/R/library/ProDenICA/html/ProDenICA.html), Error in solve.default(V, W) : 'b' must be compatible with 'a' I have examined the code of function ProDenICA(), but could not find the reason. And how large is the sample size N

Hi, Looking at the fastICA library. I want to test separating out different sounds from a recorded wav file. But, I only have a SINGLE stream of data (one channel wav.) It appears as if the fastICA won't let me separate more sounds than I have columns in my data matrix. is this correct? If so, is there a work around that is commonly used? Thanks. -- Noah Silverman UCLA Department of

Hello, I think to use FastICA package for microarray data clusterization, but one question stops me: can I know how much variance explain each component (or all components together) ? I will be very thankful for the help. Thanks, Pavel [[alternative HTML version deleted]]

This is in a 64 bit CentOS 5.6 instance at Amazon AWS with R version 2.14.1 (2011-12-22). It happens on several packages: RMySQL, RODBC, FastICA. Many other packages install just fine. Here's an example error message: * installing *source* package 'RODBC' ... ** package 'RODBC' successfully unpacked and MD5 sums checked sh: ./configure: /bin/sh: bad interpreter:

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

Dear Fred, If x1 and x2 are *not* normally distributed, you can use independent component analysis (ICA) which is based on the idea that x will be "more normal" than either x1 and x2 following the central limit theorem. See package(fastICA) by JL Marchini, C Heaton, and BD Ripley for details. HTH Thomas > -----Original Message----- > From: Feng Zhang [mailto:f0z6305 at

Does anyone know of an ICA (independent components analysis) package for R? In particular I'm looking for an implementation of the FastICA algorithm. Thanks in advance, Cole Harris -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or

A colleague suggested that some R software was available for estimating "Independent Components Analysis" (ICA) (... signal separation). If so, I''d appreciate any pointers . Chris Barker Director of Statistical Research MEDTAP International, Inc. Redwood City, Ca www.medtap.com <http://www.medtap.com/> 650 632 4218

CRAN (and crantastic) updates this week New packages ------------ * bisectr (0.0.2) Maintainer: Winston Chang Author(s): Winston Chang <winston at stdout.org> License: GPL-2 http://crantastic.org/packages/bisectr Tools to find bad commits with git bisect * CUMP (1.0) Maintainer: Xuan Liu Author(s): Xuan Liu <liuxuan at bu.edu> and Qiong Yang <qyang at bu.edu>

Hi All Please see the Rprofile file which i have modified as follows and after that when I start R then I see that R says to me "TRUE" for all the packages implying that all loaded at once. But when i try to use commands as simple as help("lm"), it doesnt work nor any of the menu "Packages" is not working. Although the regression using lm ( Y ~ X ) is working

Hi all, I'm new to PCA in R, so this might be a basical thing, but I cannot find anything on the net about it. I need to make a PCA plot with two response variables (df$resp1 and df$resp2) against eight metabolites (df$met1, df$met2, ...) and I don't have a clue how to do... and I've only used the simplest PCAs before, like this: pcaObj=prcomp(t(df[idx, c(40:47)]))

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

Dear list I have a vector of values that allegedly have a bivariate normal distribution. I want to create a plot that shows the values I have obtained, and the bivariate normal distribution curve for the data. Is there a way of doing this in R? Many thanks for your help, Sarah. --------------------------------- [[alternative HTML version deleted]]

Hi everyone, I am interested in using the SSYEV Lapack subroutine in a R package. Unfortunately I am not familiar with the all Lapack library and I was wondering why the routine SSYEV is not part of the R-LAPACK interface module. Is there any plan to extend the R-Lapack module in the next R release? Should I try to directly call the SSYEV routine of the external Lapack library from my R

Hi, I have just learned how to use compile and link libraries using "make" and how to create R projects using R CMD build or INSTALL. My understanding of both is somewhat limited and hence the question. I have a main library written in c which depends on other external libraries. Main library is to be called from R using .Call. The goal is to create a single R project that will

Hi all, I've just downloaded and installed the latest R 32-bit version plus RExcel and R Commander. I'm having several problems in loading gogarch package: The command *library(gogarch, pos=4)* returns *ERROR: package/namespace load failed for 'gogarch'* The command *require(gogarch)* returns *Error : Function found when exporting methods from the namespace 'gogarch'