validate_df: Validate Argument df

In collinear: Automated Multicollinearity Management

Validate Argument df

Description

Internal function to validate the argument df and ensure it complies with the requirements of the package functions. It performs the following actions:

• Stops if 'df' is NULL.

• Stops if 'df' cannot be coerced to data frame.

• Stops if 'df' has zero rows.

• Removes geometry column if the input data frame is an "sf" object.

• Removes non-numeric columns with as many unique values as rows df has.

• Converts logical columns to numeric.

• Converts factor and ordered columns to character.

• Tags the data frame with the attribute validated = TRUE to let the package functions skip the data validation.

Usage

validate_df(df = NULL, quiet = FALSE)

Arguments

df	(required; data frame, tibble, or sf) A data frame with responses and predictors. Default: NULL.
quiet	(optional; logical) If FALSE, messages generated during the execution of the function are printed to the console Default: FALSE

Value

data frame

See Also

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

Examples

data(vi)

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

#tagged as validated
attributes(vi)$validated

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