similar to: R-devel Digest, Vol 115, Issue 18

I''m working with a pretty simple config at the moment to track down some issues I''m seeing with custom facts and plugins. I have factsync = true (default locations) and I have a simple fact in /var/lib/puppet/facts/ (actually it''s David''s netmask plugin) my pp file I''m testing with contains only: notice "netmask: ${netmask}" puppet -v

On 02/02/2014 01:48, David Chisnall wrote: > In most calling conventions, this is a callee-save register. After its last use, the register allocator may reuse that register. On x86 and ARM, the register that contains this is also (usually) the register used for But the rule "after the last use, the register allocator may reuse it" is also introduced by llvm, since register

Hi, I''m new to this mailing list, so first off, a big THANK YOU for the script.aculo.us and prototype.js libraries. I''m trying to integrate script.aculo.us into an existing pretty large Javascript codebase (see http://openrecord.org). I''m running into a problem with prototype.js and the existing codebase''s use of for/in loops over an Array.

On Tue, 2012-05-01 at 19:58 -0500, Peter Bergner wrote: > On Tue, 2012-05-01 at 17:47 -0500, Hal Finkel wrote: > > By default it should build for > > whatever the current host is (no special flags required). To > > specifically build for something else, use: > > -ccc-host-triple powerpc64-unknown-linux-gnu > > or > > -ccc-host-triple

I''m working on the plugin for RBatis and a new little thing I''m toying around with called ActiveMessaging (sorry, David I stole the name from you from the TW AwayDay ;-)). Anyway, in both these applications I want to be able to have reloadable classes that don''t extend any of the standard built in ones. So, I don''t mean to offend the Eminent Core Members by

Interesting column at CNET... http://news.cnet.com/8301-13505_3-10376762-16.html ~~ "Novell has been positioning itself as the Avis of Linux, a distant but gaining Red Hat competitor that "tries harder." Like Oracle, Novell argues that it can give customers Red Hat value at a lower price. "There's just one problem with this marketing spin: the "low-cost

I'd like to get interaction terms in a model to be in another form. Namely, suppose I had variables age and group, the latter a factor with levels A, B, C, with age * group in the model. What I would like are the variables "age:group=A", "age:group=B" and "age:group=C" (and group itself of course). The coefficients of the model will then be the age effect

When I run R CMD check on the survival package I invariably get a note: ... * checking for file ?survival/DESCRIPTION? ... OK * this is package ?survival? version ?3.2-6? * checking CRAN incoming feasibility ... NOTE Maintainer: ?Terry M Therneau <therneau.terry at mayo.edu>? ... This is sufficient for the auto-check process to return the following failure message: Dear maintainer,

I cloned therneau/survival and the installation failed since there is no definition for exported function survfit(). A file seems to be missing - there is survfit0() and survfit0.R but, compared to CRAN, no survfit.R. Georgi Boshnakov ---------------------------------------------------------------------- Message: 1 Date: Thu, 05 Sep 2019 12:53:11 -0500 From: "Therneau, Terry M.,

Dear R-user: I am using survreg(Surv()) for fitting a Tobit model of left-censored longitudinal data. For logarithmic transformation of y data, I am trying use survreg.distributions in the following way: tfit=survreg(Surv(y, y>=-5, type="left")~x + cluster(id), dist="gaussian", data=y.data, scale=0, weights=w) my.gaussian<-survreg.distributions$gaussian

I've created some Splus code for a microarray problem that - needed to be in C, to take advantage of some sparse matrix properties - uses a cholesky decompostion as part of the computation For the cholesky, I used the cholesky2 routine, which is a part of the survival library. It does just what I want and I'm familiar with it (after all, I wrote it). In Splus, this all works

Question: I am trying to impliment a function in R that we use quite regularly in Splus, and it fails due to a lack of the "terms.inner" function in R. The substitute is? Part question and part soapbox: Why remove terms.inner from R? It's little used, but rather innocuous. Mostly soapbox: I figured it was no big deal, as I originally discovered the use of terms.inner from

One other solution that's only a little crazy: you could have a R function within your package that generates the appropriate (portable) Makevars, and within the package `configure` script call that function. For example" R --vanilla --slave -e "source('R/makevars.R'); makevars()" And that 'makevars()' function could generate portable

>>>>> Dirk Eddelbuettel writes: > On 10 May 2019 at 10:52, Johannes Ranke wrote: > | Thanks, that sounds good. But I need some help as I do not know much about > | autoconf and Debian packaging: Is it enough to patch configure.ac (r76467) or > | do we need to update configure as well (r76468)? > Again, that would happen in the sources you pick up from me, and per

I have a test directory for the survival suite, and dyn.load has ceased to work in it. Below shows the log: tmt1075% R --vanilla R version 2.12.2 (2011-02-25) Copyright (C) 2011 The R Foundation for Statistical Computing ISBN 3-900051-07-0 Platform: x86_64-unknown-linux-gnu (64-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain

Hello, I'm trying to use coxph() function to fit a very simple Cox proportional hazards regression model (only one covariate) but the parameter space is restricted to an open set (0, 1). Can I still obtain a valid estimate by using coxph function in this scenario? If yes, how? Any suggestion would be greatly appreciated. Thanks!!! [[alternative HTML version deleted]]

Hi guys, Been working on this over the past few evenings and, although it''s not actually working yet, I thought I''d give you a first glance. The core mapstraction stuff is about 1800 lines with the Google implementation code adding another 500. Original mapstraction is 5353 lines so we''re looking at 5800 for this version if you were to include all provider

Dear Terry, Does fitting group + age:group instead of age*group solves your problem? Best regards, ir. Thierry Onkelinx Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance Kliniekstraat 25 1070 Anderlecht Belgium To call in the statistician after the experiment is done may be no more

Dear R-Helpers: What other references are there on the capabilities of the survival5 package other than the help files and the chapter on survival analysis in every edition of Modern Applied Statistics with S? I'm thinking of something like "An Introduction to Survival Analysis in R" with worked examples that might complement or extend the chapter in MASS. Thanks, Spencer

This question likely has a 1 line answer, I'm just not seeing it. (2, 3, or 10 lines is fine too.) For a vector I can do group <- match(x, unqiue(x)) to get a vector that labels each element of x. What is an equivalent if x is a data frame? The result does not have to be fast: the data set will have < 100 elements. Since this is inside the survival package, and that package is on