ppplot.rga: P-P Plot for RGA Objects

In ReliaGrowR: Reliability Growth Analysis

P-P Plot for RGA Objects

Description

This function creates a P-P plot for a fitted Reliability Growth Analysis (RGA) model. Currently only supports the Crow-AMSAA model. A P-P plot compares the empirical cumulative distribution function (CDF) to the theoretical CDF specified by the model. If the model fits well, the points should fall approximately along a straight line.

Usage

ppplot.rga(x, main = "P-P Plot", ...)

Arguments

x	An object of class rga.
main	Title of the plot.
...	Additional arguments passed to plot().

Value

A P-P plot comparing empirical and theoretical CDFs.

See Also

Other goodness-of-fit: qqplot.rga()

Examples

times <- c(5, 10, 15, 20, 25)
failures <- c(1, 2, 1, 3, 2)
fit <- rga(times, failures)
ppplot.rga(fit)

ReliaGrowR documentation built on Nov. 7, 2025, 9:06 a.m.