similar to: Documenting S4 classes; debugging them

I am another person who has had trouble documenting S4 classes and (particularly) methods. The methods package itself is pretty cool by the way, but it is a pity that there are as yet no guidelines on S4 in the "Writing R Extensions" document. I have actually put together a guide on S4 documentation myself for the use of my own lab which is at

Dear all, I am trying to write a package using formal methods and classes from the methods package. I have not been able to get the package to pass rcmd check without warnings, because rcmd check does not recognize my generic functions as code objects and therefore queries why they have documentation entries. I have isolated the problem in a very small trivial example which I give below. I

Dear all, I'm writing to ask for advice as to best practice. A PhD student working with me is writing C++ code that we hope to make public as src code in our Bioconductor package edgeR. He wants to call the function fmm_spline, which is part of the source code for the stats package http://svn.r-project.org/R/trunk/src/library/stats/src/splines.c, from his C++ code. This function

Martin Maechler has suggested that I post this comment to r-devel. It was originally posted to bioconductor. --------------------------------- I'd like to raise the issue of a capitalization convention for naming objects in R. Almost everything in R used to be lowercase but recently there is increasing use of mixed upper/lower case to define names. There is potential for using the

I'm writing functions that need to behave differently for GLMs like binomial and Poisson with fixed deviance, and those like normal or gamma or quasi where the deviance is estimated from the data. Given a glm object, is there a simple way to tell this directly, or do I have to look at the name of the family? Duncan Murdoch

Hi! Have written some functions with signature "numeric". eg. setGeneric("foo", function(object,...) standardGeneric("foo")) setMethod("foo",signature(object="numeric"),def = .... To generate the Rd file sceleton i use > promtClass("numeric") A shell of class documentation has been written to the file

Hi the list, Using S4, how can we create a package? In "S4 Classes in 15 pages, more or less", they put all the classes definition in a function that will be called at the opening of the library and they add "by hand" a Rd file. Is it the only way ? Is there something like "S4.package.skeleton"? Thanks Christophe

The R Journal home page doesn't make any promises about how frequently the journal will be published. Historically, though, there have been issues in June and December of each year. The June issue has always appeared by this time (6 August) in previous years. Has there been a change in the publication schedule? Are there still plans for a June 2016 issue? Thanks Gordon

Might it be an idea to make "?" a special operator akin to "+" or "[", R users could then write their own help functions - may be even making "?" generic? With the proposed xml help system one could imagine quite sophisticated context sensitive help systems. Regards, John Marsland PS this has been a very useful debate for those of us enthusiastically

Hi the devel list. I am adapting the package.skeleton to S4 classes and methods I would have been very proud to post a new working function on this list. Unfortunately, I do not manage to solve all the problems. Mainly - sys.source does not compile a file with setClass - dumpMethod does not exists yet In the following code, thise two problems are notified by a line ################# Still

Hi! I have renamed some functions and deleted others. I have noticed that R CMD check complains only about newly added functions, but documented non-anymore-existing functions seem not to matter. I knew about prompt and promptMethods promptClass. They are extremely useful if you are starting to write a package. But what with existing packages that have to be rewritten? Having code and

Hi Peter and others, If it helps, I wrote a small function glm.scoretest() for the statmod package on CRAN to compute score tests from glm fits. The score test for adding a covariate, or any set of covariates, can be extracted very neatly from the standard glm output, although you probably already know that. Regards Gordon --------------------------------------------- Professor Gordon K

I do lots of analyses on large microarray data sets so memory use and speed and both important issues for me. I have been trying to estimate the overheads associated with using formal S4 data objects instead of ordinary lists for large data objects. In some simple experiments (using R 1.7.1 in Windows 2000) with large but simple objects it seems that giving a data object a formal class

In R 2.1.1, the default behaviour of scan() was changed to process all C-style escapes, even when a delimiter was specified using the 'sep' argument. A new argument 'allowEscapes' was introduced to turn this processing off. Because read.table() calls scan(), read.table() inherits the new default behaviour of scan() but without a way to turn it off. For example, reading a file

This is just a suggestion/wish that it would be nice for the F-distribution functions to recognize limiting cases for infinite degrees of freedom, as the t-distribution functions already do. The t-distribution functions recognize that df=Inf is equivalent to the standard normal distribution: > pt(1,df=Inf) [1] 0.8413447 > pnorm(1) [1] 0.8413447 On the other hand, pf() will accept Inf

Hi, I have been using R for a while. Recently, I have begun converting my package into S4 classes. I was previously using Rdoc for documentation. Now, I am looking to use the best tool for S4 documentation. It seems that the best choices for me are Roxygen and Sweave (I am fine with tex). Are there any users of Roxygen or Sweave who can comment on the strengths or weaknesses of one or othe

Dear all, I am running a logistic regression and this is the output: glm(formula = educationUniv ~ brncntr, family = binomial) Deviance Residuals: Min 1Q Median 3Q Max # ???? ????? ?? ???????? -0.8825 -0.7684 -0.7684 1.5044 1.6516 Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -1.06869 0.01155 -92.487 <2e-16 *** brncntrNo

I've been looking at documenting S4 classes and methods, though I have a feeling many of these issues apply to S3 as well. My impression is that the documentation system requires or recommends creating basically the same information in several places. I'd like to explain that, see if I'm correct, and suggest that a more automated framework might make life easier. PROBLEM Consider a

Should R CMD check consider it an error to define a new method using setMethod for a class which is not currently defined? It seems to me that it would be best not to consider this an error. What currently happens in that setMethod issues a warning, quite correctly. This warning produces an object 'last.warning'. Then R CMD check issues a WARNING that 'last.warning' is an

A new version of the package has been committed to the r-devel branch. There are a lot of changes, mostly non-visible, many of those to tighten up some possible problems. For example, slot assignment now checks the validity of the value being assigned, and basic classes cannot be overriden. There is a version of the promptClass function by Vince Carey, to produce shell of documentation for a