Load Dataset

`dataset_process` is used to load individual studies using the config file generated from `dataset_configure()`. `dataset_configure` and `dataset_process` are applied to every study in the `remake.yml` file.

dataset_process(
  filename_data_raw,
  config_for_dataset,
  schema,
  resource_metadata,
  unit_conversion_functions,
  filter_missing_values = TRUE
)

Arguments

filename_data_raw

Raw `data.csv` file for any given study

config_for_dataset

Config settings generated from `dataset_configure()`

schema

Schema for traits.build

resource_metadata

Metadata about the traits compilation read in from the config folder

unit_conversion_functions

`unit_conversion.csv` file read in from the config folder

filter_missing_values

Default filters missing values from the excluded data table; change to false to see the rows with missing values

Value

List, AusTraits database object

Examples

if (FALSE) {
dataset_process("data/Falster_2003/data.csv", dataset_configure("data/Falster_2003/metadata.yml",
read_yaml("config/traits.yml")),
get_schema(),
get_schema("config/metadata.yml", "metadata"),
get_unit_conversions("config/unit_conversions.csv"))
}