overlay_rga: Overlay Plot for Multiple RGA Models

In ReliaGrowR: Reliability Growth Analysis and Repairable Systems Modeling

Overlay Plot for Multiple RGA Models

Description

Plots multiple fitted rga objects on a single set of axes, using distinct colors per model. Observed data points, fitted lines, and optional confidence bounds are drawn for every model. Models may have been fit to different datasets.

Usage

overlay_rga(
  models,
  conf_bounds = TRUE,
  legend = TRUE,
  legend_pos = "bottomright",
  colors = NULL,
  log = FALSE,
  ...
)

Arguments

models	A named or unnamed list of objects of class rga. At least one model must be provided. If the list is named, those names are used as legend labels; otherwise labels default to "Model 1", "Model 2", etc.
conf_bounds	Logical; draw confidence bounds for each model (default: TRUE).
legend	Logical; draw a legend (default: TRUE).
legend_pos	Legend position keyword (default: "bottomright").
colors	Optional character vector of colors, one per model. If NULL (default), palette() colors are cycled.
log	Logical; use log-log axes (default: FALSE).
...	Additional arguments passed to the initial plot() call (e.g., main, xlab, ylab). Not forwarded to subsequent lines() or points() calls.

Value

Invisibly returns NULL.

See Also

Other Reliability Growth Analysis: plot.rga(), plot.rga_predict(), predict_rga(), print.rga(), print.rga_predict(), rga()

Examples

t1 <- c(100, 200, 300, 400, 500)
f1 <- c(1, 2, 1, 3, 2)
t2 <- c(150, 300, 450, 600, 750)
f2 <- c(2, 1, 3, 2, 4)
m1 <- rga(t1, f1)
m2 <- rga(t2, f2)
overlay_rga(list(System_A = m1, System_B = m2),
  main = "RGA Overlay", xlab = "Cumulative Time",
  ylab = "Cumulative Failures"
)

ReliaGrowR documentation built on May 22, 2026, 5:07 p.m.