csv TealDatasetConnector — csv_dataset

Usage

csv_dataset_connector(
  dataname,
  file,
  keys = character(0),
  label = character(0),
  code = character(0),
  script = character(0),
  metadata = list(type = "csv", file = file),
  ...
)

csv_cdisc_dataset_connector(
  dataname,
  file,
  keys = get_cdisc_keys(dataname),
  parent = if (identical(dataname, "ADSL")) character(0L) else "ADSL",
  label = character(0),
  code = character(0),
  script = character(0),
  metadata = list(type = "csv", file = file),
  ...
)

Arguments

dataname: (character)
A given name for the dataset it may not contain spaces
file: (character)
path to (.csv) (or general delimited) file that contains data.frame object
keys: optional, (character)
vector of dataset primary keys column names
label: (character)
Label to describe the dataset.
code: (character)
A character string defining code to modify raw_data from this dataset. To modify current dataset code should contain at least one assignment to object defined in dataname argument. For example if dataname = ADSL example code should contain ADSL <- <some R code>. Can't be used simultaneously with script
script: (character)
Alternatively to code - location of the file containing modification code. Can't be used simultaneously with script.
metadata: (named list, NULL or CallableFunction)
Field containing either the metadata about the dataset (each element of the list should be atomic and length one) or a CallableFuntion to pull the metadata from a connection. This should return a list or an object which can be converted to a list with as.list.
...: (optional)
additional arguments applied to pull function (readr::read_delim) by default delim = ",".
parent: (character, optional) parent dataset name

Details

Create a TealDatasetConnector from csv (or general delimited file).

Create a CDISCTealDatasetConnector from csv (or general delimited) file with keys and parent name assigned automatically by dataname.

Examples

if (FALSE) {
x <- csv_dataset_connector(
  dataname = "ADSL",
  file = "path/to/file.csv",
  delim = ",",
  col_types = quote(readr::cols(AGE = "i"))
)
x$get_code()
}