validate_arg_responses: Check and validate arguments 'response' and 'responses'

In collinear: Automated Multicollinearity Management

Check and validate arguments response and responses

Description

Internal function validate the arguments response and responses. It checks that its value exists as a column name of df,

Usage

validate_arg_responses(
  df = NULL,
  responses = NULL,
  max_responses = NULL,
  quiet = FALSE,
  function_name = NULL
)

Arguments

df	(required; dataframe, tibble, or sf) A dataframe with responses (optional) and predictors. Must have at least 10 rows for pairwise correlation analysis, and 10 * (length(predictors) - 1) for VIF. Default: NULL.
responses	(optional; character, character vector, or NULL) Name of one or several response variables in df. Default: NULL.
max_responses	(required, integer or NULL) Maximum number of responses to consider. Default: NULL
quiet	(optional; logical) If FALSE, messages are printed. Default: FALSE.
function_name	(optional, character string) Name of the function performing the argument check. Default: NULL

Value

character string: response name

See Also

Other argument_validation: drop_geometry_column(), validate_arg_df(), validate_arg_df_not_null(), validate_arg_encoding_method(), validate_arg_f(), validate_arg_function_name(), validate_arg_max_cor(), validate_arg_max_vif(), validate_arg_predictors(), validate_arg_preference_order(), validate_arg_quiet()

Examples

data(vi_smol)

x <- validate_arg_responses(
  df = vi_smol,
  responses = "vi_numeric"
)

attributes(x)$validated

collinear documentation built on Dec. 8, 2025, 5:06 p.m.