madshapR (version 2.0.0)

as_dossier: Validate and coerce any object as a dossier (list of dataset(s))

Description

Checks if an object is a valid dossier (list of datasets) and returns it with the appropriate madshapR::class attribute. This function mainly helps validate inputs within other functions of the package but could be used to check if a dossier is valid.

Usage

as_dossier(object)

Value

A list of data frame(s) with madshapR::class 'dossier'.

Arguments

object

A potential dossier object to be coerced.

Details

A dossier is a named list containing at least one data frame or more, each of them being datasets. The name of each tibble will be use as the reference name of the dataset.

A dataset is a data table containing variables. A dataset object is a data frame and can be associated with a data dictionary. If no data dictionary is provided with a dataset, a minimum workable data dictionary will be generated as needed within relevant functions. Identifier variable(s) for indexing can be specified by the user. The id values must be non-missing and will be used in functions that require it. If no identifier variable is specified, indexing is handled automatically by the function.

See Also

For a better assessment, please use dataset_evaluate().

Examples

{

# use madshapR_examples provided by the package
library(dplyr)
library(stringr)

###### Example 1: a dataset list is a dossier by definition.
dossier <- 
  as_dossier(madshapR_examples[str_detect(names(madshapR_examples),"^dataset_example")])
glimpse(dossier)
   
###### Example 2: any list of data frame can be a dossier by 
# definition.
dossier <- as_dossier(list(dataset_1 = iris, dataset_2 = mtcars))
glimpse(dossier)

}