Hi, I was asked by CRAN-maintainers to provide two versions of 
median.integer64, one with and one without a dots-argument.

However, doing so results in a code-documentation mismatch, because I have

\method{median}{integer64}(x, na.rm = FALSE)

and now also need

\method{median}{integer64}(x, na.rm = FALSE, \dots)

but selecting between both using \Sexpr{} seems not to be allowed in a 
Rd-usage-section.

Anyone knows the proper way to do this?


Jens Oehlschl�gel



-------- Forwarded Message --------
Subject:        CRAN packages maintained by you
Date:   Thu, 23 Mar 2017 18:08:18 +0100
From:   Kurt Hornik <[email protected]>
Reply-To:       [email protected]
To:     [email protected], [email protected], [email protected], 
[email protected], [email protected], 
[email protected], [email protected], [email protected]
CC:     [email protected]



Dear maintainers,

This concerns the CRAN packages

   Bolstad DescTools RVAideMemoire bit64 circular rv units zoo

maintained by one of you:

   Achim Zeileis <[email protected]>: zoo
   Andri Signorell <[email protected]>: DescTools
   Claudio Agostinelli <[email protected]>: circular
   Edzer Pebesma <[email protected]>: units
   James Curran <[email protected]>: Bolstad
   Jens Oehlschl�gel <[email protected]>: bit64
   Jouni Kerman <[email protected]>: rv
   Maxime Herv� <[email protected]>: RVAideMemoire

You may already have noticed that under r-devel these have given
warnings like

* checking S3 generic/method consistency ... WARNING
median:
   function(x, na.rm, ...)
median.Bolstad:
   function(x, na.rm)

for some time now, following

      \item \code{median()} gains a formal \code{\dots} argument, so
       methods with extra arguments can be provided.

Could you please update your package code to eliminate these warnings,
ideally as quickly as possible?

In one package co-developed by me, I went for

if(is.na(match("...", names(formals(median))))) {
     median.tuple <- function(x, na.rm = FALSE) {
         x <- as.numeric(x)
         NextMethod()
     }
} else {
     median.tuple <- function(x, na.rm = FALSE, ...) {
         x <- as.numeric(x)
         NextMethod()
     }
}

which may be the "simplest" way forward ...

Best
-k


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