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Internal: user_categorisation_loop

Source: R/user_interactions.R
user_categorisation_loop.Rd

Internal Function: Called within the metadata_map function.

Given a specific table and a number of variables to search, it checks for 3 different sources of domain categorisation:

1 - If variables match look-up table, auto categorise

2 - If variables match to previous table output, copy them

3 - If no match for 1 or 2, variables are categorised by the user

Usage

user_categorisation_loop(
  start_v,
  end_v,
  table_df,
  df_prev_exist,
  df_prev,
  lookup,
  n_codes,
  output_df,
  quiet = FALSE
)

Arguments

start_v

Index of variable to start

end_v

Index of variables to end

table_df

Dataframe with table info, extracted from metadata file

df_prev_exist

Boolean to indicate if previous dataframes exists

df_prev

Previous dataframes to copy from (or NULL)

lookup

The lookup table to enable auto categorisations

n_codes

Number of domain codes permissible

output_df

Empty output dataframe, to fill

quiet

Default is FALSE. Change to TRUE to quiet the cli_alert_info and cli_alert_success messages.

Value

An output dataframe containing info about the table, variables and categorisations

See also

Other metadata_map_internal: data_load(), empty_count(), empty_plot(), end_plot(), output_copy(), user_categorisation()