similar to: ica functions/package

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)

Dear Everybody, Version 0.5 of the smart prediction library smartpred is now available. The smartpred library consists of some modified existing and new functions to fix a problem relating to the modelling functions lm and glm. The modified versions now remember the "parameters" of special smartened functions (bs, ns, scale and poly are supplied). We call this "smart"

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]]

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

Dear R-users, was anybody able to install the mlica package succesfully? Or other ICA (Independent Component Analysis) package? But not the e1071. I have found mlica in the archive http://lib.stat.cmu.edu/R/CRAN/src/contrib/Archive/mlica/, repacked it to ZIP, installed and got an "updating HTML package descriptions" message. But library(mlica) gives me "Error in library(mlica) :

I have uploaded a new package to CRAN called ProDenICA. This fits ICA models directly via product-density estimation of the source densities. This package was promised on page 567 in the 2nd edition of our book 'Elements of Statistical Learning' (Hastie, Tibshirani and Friedman, 2009, Springer) . Apologies that it is so late. The method fits each source density by a tilted gaussian

I have uploaded a new package to CRAN called ProDenICA. This fits ICA models directly via product-density estimation of the source densities. This package was promised on page 567 in the 2nd edition of our book 'Elements of Statistical Learning' (Hastie, Tibshirani and Friedman, 2009, Springer) . Apologies that it is so late. The method fits each source density by a tilted gaussian

Hello, I am trying to use independent component regression inside the caret package. I ran into the error message below. All entries in the formula are dataframe column names. Any help is appreciated. icrFit <- icr(AUV ~ SPTR + NDDUEAFE + RU20INTR + LBUSTRUU + LF98TRUU + SPTRMDCP,Test,n.comp = 6) Error in fastICA::fastICA(x[, method$ica, drop = FALSE], ...) : unused argument (weights =

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

Hi, I'm looking at the "cocktail party" classic problem. I can see how to use ICA to separate the components. But, How do I then create new wav files of the separated sounds so that they can be played? Thanks -- Noah Silverman UCLA Department of Statistics 8208 Math Sciences Building Los Angeles, CA 90095 [[alternative HTML version deleted]]

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, Which R packages are good to be used for independent component analysis? Thanks for any suggestions. Ran [[alternative HTML version deleted]]

I've committed this diff. Please test and confirm that it works ok. (If not, then I've botched the macro fixes in the previous commit) Thanks, Damien Miller On Tue, 14 Mar 2017, Damien Miller wrote: > ok, with the fixes for the seccomp-bpf sandbox that I just committed > the diff reduces to. > > IMO this is scoped narrowly enough to go in. > > -d > > diff

This patch enables specific ioctl calls for ICA crypto card on s390 platform. Without this patch, users using the IBMCA engine are not able to perform ssh login as the filter blocks the communication with the crypto card. Signed-off-by: Harald Freudenberger <freude at linux.vnet.ibm.com> Signed-off-by: Eduardo Barretto <ebarretto at linux.vnet.ibm.com> --- sandbox-seccomp-filter.c |

On 03-03-2017 09:54, Petr Cerny wrote: > Damien Miller wrote: >> On Tue, 28 Feb 2017, Eduardo Barretto wrote: >> >>> On 13-02-2017 13:23, Eduardo Barretto wrote: >>> > This patch enables specific ioctl calls for ICA crypto card on s390 >>> > platform. Without this patch, users using the IBMCA engine are not >>> able >>> > to

On Tue, 28 Feb 2017, Eduardo Barretto wrote: > On 13-02-2017 13:23, Eduardo Barretto wrote: > > This patch enables specific ioctl calls for ICA crypto card on s390 > > platform. Without this patch, users using the IBMCA engine are not able > > to perform ssh login as the filter blocks the communication with the > > crypto card. > > > > Signed-off-by: Harald

I am using R for environmental forensics (determination of the sources and/or groupings in mixtures of organic chemicals in the field). The goal is to determine in there are groups of samples with similar/dissimilar compositions, and to assign samples to a potential source or a mixture of sources based on the composition (unmixing and source allocation). Typically there are 10 to 50 chemicals that

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, 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 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 >