Documenting data sets with many variables
Have you tried using 'promptData()' on the data frame and then just using the resulting documentation file? -roger
Arne Henningsen wrote:
Hi,
since nobody answered to my first message, I try to explain my problem more
clearly and more general this time:
I have a data set in my R package "micEcon", which has many variables (82).
Therefore, I would like to avoid to describe all variables in the "\format"
section of the documentation (.Rd file). However, doing this lets "R CMD
check" complain about "data codoc mismatches" (details see below).
Is there a way to avoid the description of all variables without getting a
complaint from "R CMD check"?
Thanks,
Arne
---------- Forwarded Message ----------
Subject: Documenting data sets with many variables
Date: Friday 05 August 2005 14:03
From: Arne Henningsen <ahenningsen at email.uni-kiel.de>
To: R-help at stat.math.ethz.ch
Hi,
I extended the data set "Blanciforti86" that is included in my R package
"micEcon". For instance, I added consumer prices, annual consumption
expenditures and expenditure shares of eleven aggregate commodity groups.
The corresponding variables in the data frame are called "pAgg1",
"pAgg2", ..., "pAgg11", "xAgg1", "xAgg2", ..., "xAgg11", "wAgg1",
"wAgg2", ..., "wAgg11". To avoid to describe all 33 items in the "\format"
section of the documentation (.Rd file) I wrote something like
\format{
This data frame contains the following columns:
\describe{
[ . . . ]
\item{xAggX}{Expenditure on the aggregate commodity group X
(in Millions of US-Dollars).}
\item{pAggX}{Price index for the aggregate commodity group X
(1972 = 100).}
\item{wAggX}{Expenditure share of the aggregate commodity group X.}
[ . . . ]
}
}
and explained the 11 aggregate commodity groups only once in a different
section (1=food, 2=clothing, ... ). However, "R CMD check" now complains
about "data codoc mismatches", e.g.
Code: [...] pAgg1pAgg2 pAgg3 [...]
Docs: [...] pAggX [...]
Is there a way to avoid the description of all 33 items without getting a
complaint from "R CMD check"?
Thanks,
Arne
-------------------------------------------------------
Roger D. Peng http://www.biostat.jhsph.edu/~rpeng/