validate_response: Validate Argument response

In collinear: Automated Multicollinearity Management

Validate Argument response

Description

Internal function to validate the argument response. Requires the argument 'df' to be validated with validate_df().

Usage

validate_response(df = NULL, response = NULL, quiet = FALSE)

Arguments

df	(required; data frame, tibble, or sf) A data frame with responses and predictors. Default: NULL.
response	(optional; character string or vector) Name/s of response variable/s in df. Used in target encoding when it names a numeric variable and there are categorical predictors, and to compute preference order. Default: NULL.
quiet	(optional; logical) If FALSE, messages generated during the execution of the function are printed to the console Default: FALSE

Value

character string: response name

See Also

Other data_validation: validate_data_cor(), validate_data_vif(), validate_df(), validate_encoding_arguments(), validate_predictors(), validate_preference_order()

Examples

data(
  vi
)

#validating example data frame
vi <- validate_df(
  df = vi
)

#validating example predictors
response <- validate_response(
  df = vi,
  response = "vi_numeric"
)

#tagged as validated
attributes(response)$validated

collinear documentation built on April 12, 2025, 1:36 a.m.