densityratio (version 0.2.1)

plot_bivariate: Densityratio in two-dimensional plot

Description

Plots a scatterplot of two variables, with densityratio mapped to the colour scale.

Usage

plot_bivariate(
  x,
  vars = NULL,
  samples = "both",
  grid = FALSE,
  logscale = TRUE,
  show.sample = FALSE,
  tol = 0.01,
  ...
)

Value

Bivariate scatter plots of all combinations of variables in vars.

Arguments

x

Density ratio object created with e.g., kliep(), ulsif(), or naive()

vars

Character vector of variable names for which all pairwise bivariate plots are created

samples

Character string indicating whether to plot the 'numerator', 'denominator', or 'both' samples. Default is 'both'.

grid

Logical indicating whether output should be a list of individual plots ("individual"), or one facetted plot with all variables ("assembled"). Defaults to "individual".

logscale

Logical indicating whether to plot the density ratio estimates on a log scale. Default is TRUE.

show.sample

Logical indicating whether to give different shapes to observations, depending on the sample they come from (numerator or denominator). Defaults to FALSE.

tol

Numeric indicating the tolerance: values below this value will be set to the tolerance value, for legibility of the plots

...

Additional arguments passed to the predict() function.

Examples

set.seed(123)
# Fit model
dr <- ulsif(numerator_small, denominator_small)
# Inspect model object
dr
# Obtain summary of model object
summary(dr)
# Plot model object
plot(dr)
# Plot density ratio for each variable individually
plot_univariate(dr)
# Plot density ratio for each pair of variables
plot_bivariate(dr)
# Predict density ratio and inspect first 6 predictions
head(predict(dr))
# Fit model with custom parameters
ulsif(numerator_small, denominator_small, sigma = 2, lambda = 2)