Use these functions to convert your metadata to roxygen format. The function
stw_to_roxygen()
returns a roxygen string, stw_use_roxygen()
copies a
roxygen string to your clipboard, and str_write_roxygen()
writes a roxygen
string to a file.
stw_to_roxygen(...) # S3 method for default stw_to_roxygen(...) # S3 method for stw_meta stw_to_roxygen(meta, ...) # S3 method for stw_dataset stw_to_roxygen(dataset, ...) stw_use_roxygen(meta) stw_write_roxygen(meta, file)
... | additional arguments (not used) |
---|---|
meta | Object with S3 class |
dataset | Object with S3 class |
file |
|
stw_to_roxygen()
character
, roxygen string
stw_use_roxygen()
invisible(meta)
, called for side-effects
stw_write_roxygen()
invisible(meta)
, called for side-effects
#> #' Prices of 50,000 round cut diamonds #> #' #> #' A dataset containing the prices and other attributes of almost 54,000 diamonds. #> #' #> #' @format A data frame with 53940 rows and 10 variables: #> #' #> #' \describe{ #> #' \item{price}{price in US dollars ($326--$18,823)} #> #' \item{carat}{weight of diamond (0.2--5.01)} #> #' \item{cut}{quality of the cut (Fair, Good, Very Good, Premium, Ideal)} #> #' \item{color}{diamond color, from D (best) to J (worst)} #> #' \item{clarity}{a measurement of how clear the diamond is (I1 (worst), SI2, SI1, VS2, VS1, VVS2, VVS1, 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)} #> #' } #> #' #> #' @source [DiamondSearchEngine](http://www.diamondse.info/): ([email](mailto:)), [ggplot2 package](https://ggplot2.tidyverse.org/): ([email](mailto:)) #> #' #> "diamonds" #>#>if (FALSE) { # not run because it copies text to the clipboard stw_use_roxygen(diamonds_meta) }