Compare Multiple Preprocessing Recipes — plot_measure

Visualize the effect of different preprocessing recipes side-by-side. Useful for comparing different parameter settings or preprocessing strategies.

Usage

plot_measure_comparison(..., data = NULL, n_samples = 5, summary_only = FALSE)

Arguments

...: Named recipe objects to compare. Each must be a prepped recipe.
data: Data to apply recipes to. If NULL, uses the training data from the first recipe.
n_samples: Number of samples to show. Default 5.
summary_only: If TRUE, only show summary statistics (mean +/- SD). Default FALSE shows individual spectra.

Value

A ggplot2 object with faceted comparison.

Examples

if (FALSE) { # \dontrun{
library(recipes)
library(ggplot2)

# Compare SNV vs MSC preprocessing
base_rec <- recipe(water ~ ., data = meats_long) |>
  update_role(id, new_role = "id") |>
  step_measure_input_long(transmittance, location = vars(channel))

snv_rec <- base_rec |>
  step_measure_snv() |>
  prep()

msc_rec <- base_rec |>
  step_measure_msc() |>
  prep()

plot_measure_comparison(
  "SNV" = snv_rec,
  "MSC" = msc_rec,
  n_samples = 10
)
} # }