similar to: precedence (was 'historical NA question')

I'm testing out some changes to survreg and got the following output, the likes of which I've never seen before: ---------------------------------------------------------------------- R version 2.7.1 (2008-06-23) Copyright (C) 2008 The R Foundation for Statistical Computing ISBN 3-900051-07-0 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it

I've put all ``current'' add-on packages into CRAN's source/contrib tree and created an INDEX file (attached below). As you can see, currently we have acepack bootstrap ctest date e1071 fracdiff gee jpn snns splines survival4 (Yes, e1071 and jpn are new ... more on the latter in a later mail.) In the near future, I am hoping for the following: oz (Bill

2017-11-30 14:13 GMT+01:00 Suzen, Mehmet <mehmet.suzen at gmail.com>: > On 30 November 2017 at 14:04, I?aki ?car <i.ucar86 at gmail.com> wrote: >> >> Am I supposed to read every reference on a man page just to know what >> to expect from a function? >> > > If the reference is from John Chamber, you are supposed to read it. As a joke, it's funny.

The question was how to get the p-value from the fit below, as an S object sr<-survreg(s~groups, dist="gaussian") Coefficients: (Intercept) groups -0.02138485 0.03868351 Scale= 0.01789372 Loglik(model)= 31.1 Loglik(intercept only)= 25.4 Chisq= 11.39 on 1 degrees of freedom, p= 0.00074 n= 16 ---- In general, good places to start are > names(sr) >

> Does factanal() force the user to use the formula interface if they > wish to specify an na.action? Short answer: yes. Long answer: The handling of na.action is a built in part of the formula processing functions, so it's automatic when dealing with a formula. There are also downstream effects on predict() and resid() that are worked out for the formula case, but aren't clear

Is it correct (by its lack of mention in the R-Language Definition Manual) that it is impossible to create a user-defined unary operator? Ex: (This doesn't work, but it's an example of what I'm looking for) > "%PLUSONE%" <- function(x) x + 1 > %PLUSONE% 2 [1] 3 And if the above is impossible, am I limited to only the + - ~ ! unary operators for overloading? On

I'm looking at memory efficiency for some of the survival code. The following fragment appears in coxph.fit coxfit <- .C("coxfit2", iter=as.integer(maxiter), as.integer(n), as.integer(nvar), stime, sstat, x= x[sorted,] , ... Does this make a second copy of x to pass to the routine (my

The documentation (help("Syntax")) gives the operator precedence of the assignment operators and help, from highest to lowest, as: ?<- <<-? assignment (right to left) ?=? assignment (right to left) ??? help (unary and binary) If I understand correctly this implies that `a = b ? c` and `a <- b ? c` should parse

Dear R-Developers, The traffic today on s-news where Terry Therneau, I, and others are reporting some of the problems we have had using or converting applications to SV4 reminded me of something Duncan Temple Lang had mentioned to me a year ago that I wanted to follow up on. I recall that Duncan said either that if SV4 were to be implemented in R that it would not be the default behavior, or

Brian Ripley recently replied to a comment of mine by referring to a function 'assignInNamespace', which I had not heard of. Is there a good write up on name spaces in R? There are little tidbits in the manuals on the R site, but I found nothing substative. I'd like to understand these better. Terry Therneau

hi - in version 2.1 the command >-2^2 gives -4 as the answer. (-2)^2 is evaluated correctly. Cheers, George Casella -- George Casella Phone: (352) 392-1941 Ext. 204 Distinguished Professor and Chair Cell: (352) 682-7210 Department of Statistics Fax: (352) 392-5175 University of Florida Email: casella at stat.ufl.edu P.O. Box 118545 Gainesville, FL

hi - in version 2.1 the command >-2^2 gives -4 as the answer. (-2)^2 is evaluated correctly. Cheers, George Casella -- George Casella Phone: (352) 392-1941 Ext. 204 Distinguished Professor and Chair Cell: (352) 682-7210 Department of Statistics Fax: (352) 392-5175 University of Florida Email: casella at stat.ufl.edu P.O. Box 118545 Gainesville, FL

Full_Name: Allan Sims Version: 2.1.0 OS: WinXP Submission from: (NULL) (193.40.25.254) This should not be correct. It seams that first power is applied and then sign. > -2^2 [1] -4

I am trying to clear up all the "NOTE"s before a CRAN submission, but am a bit confused about this one.?? What is it complaining about -- that it doesn't like my name? ... * checking for file ?deming/DESCRIPTION? ... OK * this is package ?deming? version ?1.4-1? * checking CRAN incoming feasibility ... [7s/18s] NOTE Maintainer: ?Terry Therneau <therneau.terry at mayo.edu>?

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

please excuse me if this ones a basic error > y<-c(-0.7,-0.6,-0.5) > -0.7^1.22 [1] -0.6471718 > y^1.22 [1] NaN NaN NaN am I missing something important in my basic math?

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'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

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]]