similar to: multivariate permutation tests

Dear R-help, I just configured and installed R-1.8.1 according to the following R is now configured for sparc-sun-solaris2.9 Source directory: . Installation directory: /usr/local C compiler: gcc -g -O2 C++ compiler: g++ -g -O2 Fortran compiler: g77 -g -O2 Interfaces supported: X11 External libraries: readline Additional capabilities: bzip2,

waveslim 1.4 has recently been uploaded to CRAN and is fully compatible with Rv2.0. Besides ensuring usability with the most recent version of R, two additional "flavors" of wavelet methodology have been added to the package: (1) Hilbert wavelet pairs and (2) the dual-tree complex wavelet transform [only 1D and 2D ported from Matlab code by Selesnick]. The dual-tree CWT code has

waveslim 1.4 has recently been uploaded to CRAN and is fully compatible with Rv2.0. Besides ensuring usability with the most recent version of R, two additional "flavors" of wavelet methodology have been added to the package: (1) Hilbert wavelet pairs and (2) the dual-tree complex wavelet transform [only 1D and 2D ported from Matlab code by Selesnick]. The dual-tree CWT code has

Dear R-help, I just configured and installed R-1.8.1 according to the following R is now configured for sparc-sun-solaris2.9 Source directory: . Installation directory: /usr/local C compiler: gcc -g -O2 C++ compiler: g++ -g -O2 Fortran compiler: g77 -g -O2 Interfaces supported: X11 External libraries: readline Additional capabilities: bzip2,

The package DICOM is a first attempt at a set of routines to import and summarize medical imaging data that conforms to the DICOM standard. This is now the industry standard for a wide variety of medical imaging equipment (e.g., PET, MRI, CT, etc.). Please see http://medical.nema.org for more information about the DICOM standard. A simple list structure holds the separate header and image

The package DICOM is a first attempt at a set of routines to import and summarize medical imaging data that conforms to the DICOM standard. This is now the industry standard for a wide variety of medical imaging equipment (e.g., PET, MRI, CT, etc.). Please see http://medical.nema.org for more information about the DICOM standard. A simple list structure holds the separate header and image

Dear R users, Has anyone implemented a "matrix log" function in R similar to the function logm() in Matlab? I did a quick R site search and browsed the contributed packages to no avail. The octave function is far too simplistic and fails for the Matlab test matrix. Ideally, the code of Cheng, Higham, and Laub (2001) or something similar could be utilized. Just checking before I

I am trying to use the survfit() function with the newdata argument to produce predicted survivor curves for a particular covariate profile. The main purpose of the plot will be to visualise the effect of snp1, coded 0 and 1. In my Cox model I have stratified by one variable, edu, and so I know I will automatically get a separate curve for each strata. My problem is how to deal with the

Dear R users, I am curious to know if someone has connected R with the Insight Segmentation and Registration Toolkit (www.itk.org). From the website... ITK is an open-source, cross-platform system that provides developers with an extensive suite of software tools for image analysis. Developed through extreme programming methodologies, ITK employs leading-edge algorithms for registering and

R-help, I am trying to perform a basic anlaysis of the BreastCancer data from "mlbench" using the svm() function in "e1071". I use the following code library("e1071") library("mlbench") data(BreastCancer) BC <- subset(BreastCancer, select=-Id) pairs(BC) model <- svm(Class ~ ., data=BC, cross=10) ## plot(model, BC, ) tobj <- tune.svm(Class ~ .,

dcemri 0.10 has been released on CRAN "dcemri" is (to the best of my knowledge) the first public-domain software package for the quantitative analysis of dynamic contrast-enhanced MRI (DCE-MRI) and diffusion-weighted MRI (DW-MRI or DWI). Data import and export is availble for ANALYZE or NIfTI data formats (sorry, no DICOM). Images are stored in neurological format regardless of the

dcemri 0.10 has been released on CRAN "dcemri" is (to the best of my knowledge) the first public-domain software package for the quantitative analysis of dynamic contrast-enhanced MRI (DCE-MRI) and diffusion-weighted MRI (DW-MRI or DWI). Data import and export is availble for ANALYZE or NIfTI data formats (sorry, no DICOM). Images are stored in neurological format regardless of the

TOP Institute Pharma (TI Pharma) has granted our proposal to set up a mechanism-based PKPD modelling platform. This platform focuses on the transfer of knowledge from academia to the pharmaceutical industry and is a collaborative effort of four excellent academic institutes and six leading global pharmaceutical industries. Unique to this platform is the availability of shared databases on

I was pleased to find integrate() using the quadpack routines "dqags" and "dqagi". However, I would also like to have the routine "dqawoe" included. This routine is summarized as follows... c***keywords automatic integrator, special-purpose, c integrand with oscillatory cos or sin factor, c clenshaw-curtis method, (end point) singularities,

I am trying to extract only the winters (defined to be 01-Dec through 28-Feb) of daily data from 1948-2002. There are 90 days in each winter season. I wrote the following code to gather the winter dates into a single vector: DJF <- NULL for(year in 1949:1999) { temp.begin <- strptime(paste("01/12", year-1, sep="/"), "%d/%m/%Y") temp.end <-

Hi, there: As you all know, correlation is not a very robust procedure. Sometimes correlation could be driven by a few outliers. There are a few ways to improve the robustness of correlation (pearson correlation), either by outlier removal procedure, or resampling technique. I am wondering if there is any R package or R code that have incorporated outlier removal or resampling procedure in

Hello, I use wavethresh packages to perform wavelet analysis. In particular, I would like to compare 2 signals (vectors) after a wavelet decomposition. I would like to use cor.test function, but this function acts on the entire vector values. I plan to perform a cor.test on each level of the wavelet decomposition, say N. So I will have at the end of a first step N results of cor.test. How can

Magazine: Pharmaceutical Manufacturing Date: Nov/Dec 2009 Title: What Your ICH Q8 Design Space Needs: A Multivariate Predictive Distribution Author: Peterson, John J. Company: GlaxoSmithKline Pharmaceuticals Summary: Multivariate Predicitive distibution quantifies the level of QA in a design space. "Parametric Bootstrapping" can help simplify early analysis and compliment Bayesian

Hello, I am a new user of R, and I am not able to read/scan external files. I am working in a Linux environment. I have read through the R FAQ and documents and have not been successful using the recommendations. Below are several scripts I've used and the error messages. . I've cc'd Brandon Whitcher because it was recommended in another FAQ. I read that this is a bug that

Is anybody running R on the "Enterprise" version of RedHat linux? ...specifically the RH Enterprise Linux WS. I notice there are directories for 7.x, 8.x, and 9 on CRAN. Will one of these transfer over or would I have to use the source RPMs and go it alone? Any comments/experiences would be welcome. cheers... Brandon