Quality Check for `df_input_response` — util_check_data

This function performs a quality check to ensure that `df_input_response` conforms to the expected data model. It is particularly useful for validating data uploaded by users via the `mod_upload_data_set` module, helping maintain data consistency and integrity within the VOX Analysis app.

The function returns either `"Good"` or `"Bad"` to indicate the quality status, providing a clear, unambiguous result.

Usage

util_check_data_upload(df_input_response)

Arguments

df_input_response: A `data.frame` containing referent names and their associated responses, typically recorded by the listener. For example data, run `data("df_input_response_example")` or `data("df_input_response_previous_example")`.

Value

A character string, either `"Good"` if the data passes the quality check, or `"Bad"` if it does not.

Examples

# Load example data for quality checking
data("df_input_response_example")

# Perform a quality check on the data
util_check_data_upload(df_input_response = df_input_response_example)
#> [1] "Good"