Crunch automation is a custom scripting syntax that allows you to concisely describe the metadata of your data when importing. The syntax is described in the crunch API documentation

runCrunchAutomation(
  dataset,
  script,
  is_file = string_is_file_like(script),
  encoding = "UTF-8",
  ...
)

showScriptErrors()

Arguments

dataset

A crunch dataset

script

A path to a text file with crunch automation syntax or a string the syntax loaded in R.

is_file

The default guesses whether a file or string was used in the script argument, but you can override the heuristics by specifying TRUE for a file, and FALSE for a string.

encoding

Optional encoding to convert from, defaults to UTF-8. The API accepts only UTF-8, so all text will be converted to UTF-8 before being sent to the server.

...

Additional options, such as dry_run = TRUE passed on to the API

Value

For runCrunchAutomation(): an updated dataset (invisibly), For showScriptErrors(), when run after a failure, a list with two items: script: that contains the script string sent to the server and errors which is a data.frame with details about the errors sent from the server.

See also

Examples

if (FALSE) {
# Can use a path to a file:
script_file <- "crunch_automation.txt"
ds <- runCrunchAutomation(ds, script_file)

# Or a string directly:
ds <- runCrunchAutomation(ds, "RENAME v1 TO age;")

# A "dry run" that validates the script but does not run it:
runCrunchAutomation(ds, "RENAME V1 TO age;", dry_run = TRUE)

# After a failed run, some error information prints to console,
# But more details are available with function:
showScriptErrors()

# After a successful run, can look at scripts
scripts(ds)

}