The report family of functions allows users to quickly get information about and compare several aspects of a package in the many packages universe, and its' databases and datasets.
data_source(pkg, database = NULL, dataset = NULL) data_contrast(pkg, database = NULL, dataset = NULL) data_evolution(pkg, database, dataset, preparation_script = FALSE) open_codebook(pkg, database, dataset)
character string of the many package to report data on. Required input.
vector of character strings of the many package to
report data on a specific database in a many package
If NULL, the function returns a summary of all databases in the many package
NULL by default for
character string of the many package to
report data on a specific
dataset in a specific database of a many package
If NULL and database is specified, returns database level metadata.
NULL by default for
Would you like to open the preparation script for the dataset? By default false.
data_source() displays names of the database/datasets and
source material of data in a many package.
data_contrast() displays information about databases
and datasets contained in them.
Namely the number of unique ID's, the percentage of
missing data, the number of observations, the number of variables,
the minimum beginning date and the maximum ending date as well as
the most direct URL to the original dataset.
data_evolution() enables users to access the
differences between raw data and the data made available to them
in one of the 'many' packages.
open_codebook() opens the original codebook of the specified
dataset to allow users to look up the original coding rules.
Note that no original codebook might exist for certain datasets.
In the latter case, please refer to the
source URL provided with each dataset by running
as further information on coding rules available online.
A dataframe with the data sources
A list with the desired metadata to compare various datasets in a many package.
Either the data comparison between raw and available data or the preparation script detailing all the steps taken to prepare raw data before making it available in one of the 'many' packages.
Opens a pdf version of the original codebook of the specified dataset, if available.
data_source(pkg = "manydata") data_contrast(pkg = "manydata") data_evolution(pkg = "manydata", database = "emperors", dataset = "wikipedia") #data_evolution(pkg = "manytrade", database = "agreements", #dataset = "GPTAD")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.