Add a Data ResourceSource:
Name of the Data Resource.
Data to attach, either a data frame or path(s) to CSV file(s):
Data frame: attached to the resource as
dataand written to a CSV file when using
One or more paths to CSV file(s) as a character (vector): added to the resource as
path. The last file will be read with
readr::read_delim()to create or compare with
schemaand to set
encoding. The other files are ignored, but are expected to have the same structure and properties.
Either a list, or path or URL to a JSON file describing a Table Schema for the
data. If not provided, one will be created using
Single character used to separate the fields in the CSV file(s), e.g.
\tfor tab delimited file. Will be set as
delimiterin the resource CSV dialect, so read functions know how to read the file(s).
# Load the example Data Package package <- example_package # List resources resources(package) #>  "deployments" "observations" "media" # Create a data frame df <- data.frame( multimedia_id = c( "aed5fa71-3ed4-4284-a6ba-3550d1a4de8d", "da81a501-8236-4cbd-aa95-4bc4b10a05df" ), x = c(718, 748), y = c(860, 900) ) # Add resource "positions" to the Data Package, from the data frame package <- add_resource(package, "positions", data = df) # Add resource "positions_2" to the Data Package, with user-defined schema my_schema <- create_schema(df) package <- add_resource(package, "positions_2", data = df, schema = my_schema) # Add resource "observations_2" to the Data Package, from CSV file paths path_1 <- system.file("extdata", "observations_1.csv", package = "frictionless") path_2 <- system.file("extdata", "observations_2.csv", package = "frictionless") package <- add_resource(package, "observations_2", data = c(path_1, path_2)) # List resources ("positions", "positions_2", "observations_2" added) resources(package) #>  "deployments" "observations" "media" "positions" #>  "positions_2" "observations_2"