similar to: intercept in lmp()

Does anyone know of an R-function or method to compare two C-statistics (Harrells's C - rcorr.cens) obtained from 2 different models in partially paired datasets (i.e. some similar and some different cases), with one continuous independent variable in each separate model? (in a survival analysis context)? I have noticed that the rcorrp.cens function can be used for paired data. Thanks

Dear All, I have data in HDF file format and would like to read it into R. I have tried the package hdf5 without success. Any ideas and suggestions?? Kind regards, Katrin -- Katrin Fleischer Vrije Universiteit Amsterdam Faculty of Earth and Life Sciences Subdepartment Hydrolgy and Geo-Environmental Sciences Room E-360 De Boelelaan 1085 1081 HV AMSTERDAM Tel: +31 20 59 87391

I've found a problem when using categorical variables in lmp() from package lmPerm According to help(lmp): "This function will behave identically to lm() if the following parameters are set: perm="", seq=TRUE, center=FALSE.") But not in the case of including categorical variables: require(lmPerm) set.seed(42) testx1 <- rnorm(100,10,5) testx2 <-

I need to include some mathematical expressions in a plot I am creating in R, one of which requires an underbrace, which in LaTeX would be written like \underbrace{T \cdots T}_{n times} There does not appear to be a provision for this in plotmath, and I cannot find anything on the topic in the R-help archive or in a Google search. I would appreciate some help with this. Michael P. McAssey,

Dear All, A short-term (approx. 6-month) postdoctoral or scientific programmer position is available in a computational sciences project in Amsterdam. The title is dependent on experience. The starting date should be before the end of 2008, and applicants must be a citizen of a member state of the European Union. The ideal applicant would: o be an experienced R programmer o have experience in

A new package 'bvls' is available on CRAN. The package provides an R interface to the Stark-Parker algorithm for bounded-variable least squares (BVLS) that solves A x = b with the constraint l <= x <= u under least squares criteria, where l,x,u \in R^n, b \in R^m and A is an m \times n matrix. The Stark-Parker BVLS algorithm was published in Stark PB, Parker RL (1995).

A new package 'bvls' is available on CRAN. The package provides an R interface to the Stark-Parker algorithm for bounded-variable least squares (BVLS) that solves A x = b with the constraint l <= x <= u under least squares criteria, where l,x,u \in R^n, b \in R^m and A is an m \times n matrix. The Stark-Parker BVLS algorithm was published in Stark PB, Parker RL (1995).

Dear All, A new task view "ChemPhys" on chemometrics and computational physics is available on CRAN (http://cran.r-project.org/web/views/ChemPhys.html). It describes packages and functions that are of use in modeling chemical/physical systems. Suggestions and comments regarding this task view are welcome. If you think a new category, package or function should be added, please mail.

Dear All, I fear that this is a really easy question but I do seem to go around in circles.. I have 2 points on a plot and would like to calculate the slope of the line drawn through these 2 points. that cant be so hard?! Thank you in advance, Katrin -- Katrin Fleischer Vrije Universiteit Amsterdam Faculty of Earth and Life Sciences Subdepartment Hydrolgy and Geo-Environmental Sciences Room

A new package 'nnls' is now available on CRAN. The package provides an R interface to the Lawson-Hanson NNLS algorithm for non-negative least squares that solves the least squares problem A x = b with the constraint x >= 0. The Lawson-Hanson NNLS algorithm was published in Lawson CL, Hanson RJ (1974). Solving Least Squares Problems. Prentice Hall, Englewood Cliffs, NJ. Lawson CL,

A new package 'nnls' is now available on CRAN. The package provides an R interface to the Lawson-Hanson NNLS algorithm for non-negative least squares that solves the least squares problem A x = b with the constraint x >= 0. The Lawson-Hanson NNLS algorithm was published in Lawson CL, Hanson RJ (1974). Solving Least Squares Problems. Prentice Hall, Englewood Cliffs, NJ. Lawson CL,

**** CALL FOR PAPERS **** The 23nd International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC-2014) Vancouver, Canada - June 23-27, 2014 http://www.hpdc.org/2014 The ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) is the

**** CALL FOR PAPERS **** The 22nd International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC'13) New York City, USA - June 17-21, 2013 http://www.hpdc.org/2013 The ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) is the premier

**** CALL FOR PAPERS **** The 23nd International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC-2014) Vancouver, Canada - June 23-27, 2014 http://www.hpdc.org/2014 The ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) is the

**** CALL FOR PAPERS **** The 22nd International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC'13) New York City, USA - June 17-21, 2013 http://www.hpdc.org/2013 The ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) is the premier

**** CALL FOR PAPERS **** The 22nd International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC'13) New York City, USA - June 17-21, 2013 http://www.hpdc.org/2013 The ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) is the premier

**** CALL FOR PAPERS **** The 22nd International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC'13) New York City, USA - June 17-21, 2013 http://www.hpdc.org/2013 The ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) is the premier

I've started using lmPerm in order to perform regressions in R. The equation I want to fit has the form: out3 <- lmp(outcome ~ bin1 + bin2 + cont1 + cont2, perm="Exact") Where "outcome" is a non-normally distributed continuous variable, and bin* and cont are binary and continuous regressors (similarly, they are non-normally distributed). Each variable has a length of

**** CALL FOR PAPERS **** The 23nd International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC-2014) Vancouver, Canada - June 23-27, 2014 http://www.hpdc.org/2014 The ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) is the premier annual conference for presenting the latest research on the design, implementation,

**** CALL FOR PAPERS **** The 23nd International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC-2014) Vancouver, Canada - June 23-27, 2014 http://www.hpdc.org/2014 The ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) is the premier annual conference for presenting the latest research on the design, implementation,