ready4 (version 0.1.18)

make_datasets_tb: Make a tabular summary of ready4 model data collections

Description

make_datasts_tb() scrapes metadata from a specified Dataverse collection to create a summary table of its contents. The contents table can detail either subsidiary data collections or individual datasets from those subsidiary data collections.

Usage

make_datasets_tb(
  dv_nm_1L_chr = "ready4",
  dvs_tb = NULL,
  filter_cdns_ls = NULL,
  key_1L_chr = NULL,
  server_1L_chr = "dataverse.harvard.edu",
  toy_data_dv_1L_chr = "fakes",
  type_1L_chr = c("collections", "datasets"),
  what_1L_chr = "all"
)

Value

Datasets (a tibble)

Arguments

dv_nm_1L_chr

Dataverse name (a character vector of length one), Default: 'ready4'

dvs_tb

Dataverses (a tibble), Default: NULL

filter_cdns_ls

Filter conditions (a list), Default: NULL

key_1L_chr

Key (a character vector of length one), Default: NULL

server_1L_chr

Server (a character vector of length one), Default: 'dataverse.harvard.edu'

toy_data_dv_1L_chr

Toy data dataverse (a character vector of length one), Default: 'fakes'

type_1L_chr

Type (a character vector of length one), Default: c("collections", "datasets")

what_1L_chr

What (a character vector of length one), Default: 'all'

Examples

if (FALSE) { # interactive()
  # Likely to take more than one minute to execute.
  make_datasets_tb("ready4")
  dvs_tb <- get_datasets_tb("ready4-dev/ready4")
  make_datasets_tb("ready4", dvs_tb = dvs_tb)
  make_datasets_tb("ready4", dvs_tb = dvs_tb, what_1L_chr = "real")
  make_datasets_tb("ready4", dvs_tb = dvs_tb, what_1L_chr = "fakes")
  make_datasets_tb("ready4", dvs_tb = dvs_tb, type_1L_chr = "datasets")
  make_datasets_tb("ready4", dvs_tb = dvs_tb, type_1L_chr = "datasets", what_1L_chr = "real")
  make_datasets_tb("ready4", dvs_tb = dvs_tb, type_1L_chr = "datasets", what_1L_chr = "fakes")
}