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Compare One Variable Before and After Normalization

Source: R/plot_normalization_comparison.R
plot_normalization_comparison.Rd

Two panels side by side: the variable in its original units and the same values after rescaling (for example with [min_max_norm()]), each with its mean and standard deviation in the subtitle. Needs the `patchwork` package.

Usage

plot_normalization_comparison(
  raw_vec,
  norm_vec,
  var_label,
  unit_label = NULL,
  type = c("density", "histogram"),
  bins = 30
)

Arguments

raw_vec, norm_vec

Numeric vectors of the same length: the values before and after normalization. Pairs where either is missing are dropped.

var_label

Name of the variable for the titles.

unit_label

Optional unit of the original values (added to the x-axis label).

type

`"density"` (default) or `"histogram"`.

bins

Number of histogram bins (default 30).

Value

A `patchwork` object (a ggplot-like object that prints as two panels).

See also

[min_max_norm()], [distribution_plot()]

Examples

x <- mtcars$hp
plot_normalization_comparison(x, min_max_norm(x), "Horsepower", "hp")