Plot basic anomaly visualization for 2D data

Plots the anomaly score heatmap or scatter plot for 2D data. This function is specifically designed for 2-dimensional data visualization.

Usage

plot_anomaly_basic(
  object,
  data = NULL,
  plot_type = c("heatmap", "scatter"),
  contamination = 0.05
)

Arguments

object

The fitted isoForest model object

data

The data to be plotted (must have at least 2 columns).

plot_type

The type of plot to be generated. Either "heatmap" or "scatter".

contamination

The proportion of outliers in the data. Default is 0.05. This parameter is used to determine the threshold for anomaly scores.

Value

A ggplot object.

Examples

# Load the data
data("iris")
# Fit the anomaly detection model
model <- isoForest(iris[1:2])
# Plot the anomaly scores
plot_anomaly_basic(model, iris[1:2], plot_type = "scatter")

plot_anomaly_basic(model, iris[1:2], plot_type = "heatmap")