Is it possible to include .R files in the data directory of my package in the roxygen process?
I have put several .R files in the data directory. When they are sourced with data(), they read in raw data files and perform some transformations.
Is it possible to include .R files in the data directory of my package in the roxygen process?
I have put several .R files in the data directory. When they are sourced with data(), they read in raw data files and perform some transformations.
Roxygen can be used anywhere within an R file (in other words, it doesn't have to be followed by a function). It can also be used to document any docType in the R documentation.
So you can just document your data in a separate block (something like this):
#' This is data to be included in my package
#'
#' @name data-name
#' @docType data
#' @author My Name \email{blahblah@@roxygen.org}
#' @references \url{data_blah.com}
#' @keywords data
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.R
file to describe my data objects in there but R CMD Check
seems to not parse it. –
Gambill As of roxygen2 >4.0.0, you can document the data object defined elsewhere by documenting the name of the object defined as a string:
#' This is data to be included in my package
#'
#' @author My Name \email{blahblah@@roxygen.org}
#' @references \url{data_blah.com}
"data-name"
I found it useful to study the examples in the ggplot2 package.
A few things of note:
.r
file in the R
directory of the package.See for examples, the diamonds
dataset:
#' Prices of 50,000 round cut diamonds
#'
#' A dataset containing the prices and other attributes of almost 54,000
#' diamonds. The variables are as follows:
#'
#' \itemize{
#' \item price. price in US dollars (\$326--\$18,823)
#' \item carat. weight of the diamond (0.2--5.01)
#' \item cut. quality of the cut (Fair, Good, Very Good, Premium, Ideal)
#' \item colour. diamond colour, from J (worst) to D (best)
#' \item clarity. a measurement of how clear the diamond is (I1 (worst), SI1, SI2, VS1, VS2, VVS1, VVS2, IF (best))
#' \item x. length in mm (0--10.74)
#' \item y. width in mm (0--58.9)
#' \item z. depth in mm (0--31.8)
#' \item depth. total depth percentage = z / mean(x, y) = 2 * z / (x + y) (43--79)
#' \item table. width of top of diamond relative to widest point (43--95)
#' }
#'
#' @docType data
#' @keywords datasets
#' @name diamonds
#' @usage data(diamonds)
#' @format A data frame with 53940 rows and 10 variables
NULL
This results in a help file that looks like this:
© 2022 - 2024 — McMap. All rights reserved.
NULL
instead ofroxygen()
so that you don't induce a run-time dependency onroxygen
– Degrade