vi: Example Data With Different Response and Predictor Types

In collinear: Automated Multicollinearity Management

Example Data With Different Response and Predictor Types

Description

The response variable is a Vegetation Index encoded in different ways to help highlight the package capabilities:

• vi_numeric: continuous vegetation index values in the range 0-1.

• vi_counts: simulated integer counts created by multiplying vi_numeric by 1000 and coercing the result to integer.

• vi_binomial: simulated binomial variable created by transforming vi_numeric to zeros and ones.

• vi_categorical: character variable with the categories "very_low", "low", "medium", "high", and "very_high", with thresholds located at the quantiles of vi_numeric.

• vi_factor: vi_categorical converted to factor.

The names of all predictors (continuous, integer, character, and factors) are in vi_predictors.

Usage

data(vi)

Format

Data frame with 30.000 rows and 68 columns.

See Also

vi_predictors

Other example_data: toy, vi_predictors, vi_predictors_categorical, vi_predictors_numeric

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