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 <kurt.hor...@wu.ac.at>
Reply-To: c...@r-project.org
To: achim.zeil...@r-project.org, an...@signorell.net, clau...@unive.it,
edzer.pebe...@uni-muenster.de, j.cur...@auckland.ac.nz,
jens.oehlschlae...@truecluster.com, jo...@kerman.com, mx.he...@gmail.com
CC: c...@r-project.org
Dear maintainers,
This concerns the CRAN packages
Bolstad DescTools RVAideMemoire bit64 circular rv units zoo
maintained by one of you:
Achim Zeileis <achim.zeil...@r-project.org>: zoo
Andri Signorell <an...@signorell.net>: DescTools
Claudio Agostinelli <clau...@unive.it>: circular
Edzer Pebesma <edzer.pebe...@uni-muenster.de>: units
James Curran <j.cur...@auckland.ac.nz>: Bolstad
Jens Oehlschl�gel <jens.oehlschlae...@truecluster.com>: bit64
Jouni Kerman <jo...@kerman.com>: rv
Maxime Herv� <mx.he...@gmail.com>: 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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