rddocs | R Documentation |
Opens the documentation for a dataset from Rdatasets as an HTML page using getOption("viewer")
or the Rstudio viewer.
rddocs(dataset, package = NULL)
dataset |
String. Name of the dataset to download from the Rdatasets archive. Use |
package |
String. Package name that originally published the data. If NULL, the function will attempt to automatically detect the package by searching for an exact match in the Rdatasets index. |
The function attempts to open the documentation in the following order:
RStudio's built-in viewer (if rstudioapi
is available)
The viewer specified in getOption("viewer")
The default browser specified in getOption("browser")
To control which viewer is used, you can set the following options:
options(viewer = function(url) { ... })
- Set a custom viewer function
options(browser = "firefox")
- Set the default browser (used as fallback)
If no viewer is available, the function will stop with an error message.
Invisibly returns NULL
. The function's primary purpose is to open the dataset documentation in a viewer window.
The following global options control package behavior:
Rdatasets_cache
: Logical
Whether to cache downloaded data and index for faster subsequent access. Default: TRUE
. Please keep this option TRUE as it makes repeated access faster and avoids overloading the Rdatasets server. Only set to FALSE if local memory is severely limited.
Ex: 'options(Rdatasets_cache = TRUE)“
Rdatasets_class
: String
Output class of the returned data. One of "data.frame" (default), "tibble", or "data.table". Default: "data.frame"
. Requires the respective packages to be installed for "tibble" or "data.table" formats.
Ex: options(Rdatasets_class = "tibble")
Rdataset_path
: String.
Base URL for the Rdatasets archive. Default: "https://vincentarelbundock.github.io/Rdatasets/"
. Advanced users can set this to use a different mirror or local copy.
Ex: options(Rdataset_path = "https://vincentarelbundock.github.io/Rdatasets/")
rddocs(dataset = "Titanic", package ="Stat2Data")
rddocs("iris", "datasets")
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