collinear (version 1.1.1)

validate_df: Validate input data frame

Description

Internal function to validate and prepare the input data frame for a multicollinearity analysis.

Validates a data frame to ensure it complies with the requirements of the package functions. The function 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.

• Raise warning if number of rows of 'df' is lower than 'min_rows'.

• 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, min_rows = 30)

Value

The input data frame modified to comply with the requirements of the functions in this package

Arguments

df

(required; data frame or matrix) Input data frame. Default: NULL

min_rows

(required; integer) Minimum number of rows required for a pairwise correlation or a variance inflation factor analysis. Default: 30

Author

Blas M. Benito

Examples

data(vi)

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

#tagged as validated
attributes(vi)$validated