plot.dormancy: Plot Methods for Dormancy Objects

In dormancy: Detection and Analysis of Dormant Patterns in Data

Plot Methods for Dormancy Objects

Description

Visualization methods for dormancy analysis results. Creates informative plots showing dormant patterns, trigger regions, and risk landscapes.

Usage

## S3 method for class 'dormancy'
plot(x, type = "overview", ...)

## S3 method for class 'dormancy_map'
plot(x, type = "overview", ...)

Arguments

x	An object of class "dormancy", "dormancy_map", "dormancy_depth", "dormancy_risk", or "awakening".
type	Character. Type of plot to generate: "overview" - General overview of results "patterns" - Focus on detected patterns "risk" - Risk-focused visualization "timeline" - Time-based visualization (if applicable)
...	Additional arguments passed to plot functions.

Value

Invisibly returns the plot data.

Examples

set.seed(42)
n <- 500
x <- rnorm(n)
z <- sample(c(0, 1), n, replace = TRUE)
y <- ifelse(z == 1, 0.8 * x + rnorm(sum(z), 0, 0.3), rnorm(n))
data <- data.frame(x = x, y = y, z = factor(z))

result <- dormancy_detect(data, method = "conditional")
plot(result)

dormancy documentation built on March 16, 2026, 5:09 p.m.