A histogram of density ratio estimates

Creates a histogram of the density ratio estimates. Useful to understand the distribution of estimated density ratios in each sample, or compare it among samples. It is the default plotting method for density ratio objects.

Usage

dr.histogram(
  x,
  samples = "both",
  logscale = TRUE,
  binwidth = NULL,
  bins = NULL,
  tol = 0.01,
  ...
)

# S3 method for class 'ulsif'
plot(
  x,
  samples = "both",
  logscale = TRUE,
  binwidth = NULL,
  bins = NULL,
  tol = 0.01,
  ...
)

# S3 method for class 'kliep'
plot(
  x,
  samples = "both",
  logscale = TRUE,
  binwidth = NULL,
  bins = NULL,
  tol = 0.01,
  ...
)

# S3 method for class 'kmm'
plot(
  x,
  samples = "both",
  logscale = TRUE,
  binwidth = NULL,
  bins = NULL,
  tol = 0.01,
  ...
)

# S3 method for class 'spectral'
plot(
  x,
  samples = "both",
  logscale = TRUE,
  binwidth = NULL,
  bins = NULL,
  tol = 0.01,
  ...
)

# S3 method for class 'lhss'
plot(
  x,
  samples = "both",
  logscale = TRUE,
  binwidth = NULL,
  bins = NULL,
  tol = 0.01,
  ...
)

# S3 method for class 'naivedensityratio'
plot(
  x,
  samples = "both",
  logscale = TRUE,
  binwidth = NULL,
  bins = NULL,
  tol = 0.01,
  ...
)

Arguments

x: Density ratio object created with e.g., kliep(), ulsif(), or naive()
samples: Character string indicating whether to plot the 'numerator', 'denominator', or 'both' samples. Default is 'both'.
logscale: Logical indicating whether to plot the density ratio estimates on a log scale. Default is TRUE.
binwidth: Numeric indicating the width of the bins, passed on to ggplot2.
bins: Numeric indicating the number of bins. Overriden by binwidth, and passed on to ggplot2.
tol: Numeric indicating the tolerance: values below this value will be set to the tolerance value, for legibility of the plots
...: Additional arguments passed on to predict().

Value

A histogram of density ratio estimates.

Usage

Arguments

Value

See also