similar to: R install/configure problem on Sun Solaris

Dear R users, I am looking for code to perform a permutation version of the multivariate two-sample test (difference in means). I am aware of F. Pesarin's book and website, but his single S-Plus function does not work in R (for various reasons). Has anyone adapted (or added to) PermutationTestMeans() so that it does work in R? Or do you know of an alternative implementation that does

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,

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

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

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

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

I have a figure on screen with a legend. I want to copy this image to EPS, and use: dev.copy2eps(file="file1.eps", width=5, height=5) The legend that looks OK on screen doesn't look OK in the PostScript image: the text extends out of the box. I try adding a fontsize command: dev.copy2eps(file="file1.eps", width=5, height=5, pointsize=5) This options seems to

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

Hi, a colleague of mine encountered some unexpected behavior regarding the postscript output from R. It's difficult for me to tell whether or not this is an R problem or a ghostview/gv/interpreter problem. Just to note, I think it's exactly the same situation reported here: http://finzi.psych.upenn.edu/R/Rhelp02/archive/25436.html The following code produces a working plot (no

The definition for dev.copy2eps contains the following line: oc$paper <- "special" The result of this is that the output will be placed in the left bottom corner of the page. Even though dev.copy2eps is meant for creating files that are to be included into other documents, you might want to print the figure directly, just to see how it will look on paper. (Of course, this will

Hi all, When I plot some graph with cyrillic (namely russian) titles it looks ok, but after saving this figure as eps file I get damaged title fonts. The command dev.copy2eps was used in the following manner: dev.copy2eps("test.eps") or, for example dev.copy2eps("test.eps",family='NimbusSan') What is wrong? I use R 2.6.0 under Windows. Any help will be appreciated.

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,