ReliaPlotR

Build interactive reliability plots with plotly, an interactive web-based graphing library. ReliaPlotR wraps the WeibullR, WeibullR.ALT, and ReliaGrowR packages to produce interactive visualizations across four reliability analysis domains.

Function Overview

Function	Analysis Domain	Purpose
plotly_wblr()	Life Data Analysis	Weibull/lognormal probability plot
plotly_contour()	Life Data Analysis	MLE parameter confidence contour plot
plotly_alt()	Accelerated Life Testing	ALT probability plot (one line per stress level)
plotly_rel()	Accelerated Life Testing	ALT life-stress relationship plot
plotly_rga()	Reliability Growth	Crow-AMSAA / NHPP cumulative failures plot
plotly_duane()	Reliability Growth	Duane cumulative MTBF plot (log-log)
plotly_nhpp()	Repairable Systems	NHPP MCF plot with parametric model overlay
plotly_mcf()	Repairable Systems	Nonparametric Mean Cumulative Function plot
plotly_exposure()	Repairable Systems	Cumulative event rate (exposure) plot

All functions accept a single model object or a list of objects for overlay plots, and return a plotly object for interactive use.

Getting Started

To install ReliaPlotR in R:

install.packages("ReliaPlotR")

Or install the development version:

devtools::install_github("paulgovan/ReliaPlotR")

Basic Examples

To build a probability plot, first fit a wblr object using the WeibullR package and then use plotly_wblr to build the plot.

library(WeibullR)
library(ReliaPlotR)
failures <- c(30, 49, 82, 90, 96)
obj <- wblr.conf(wblr.fit(wblr(failures)))
plotly_wblr(obj)

To build a contour plot, use the plotly_contour function. Note that contour plots are only available where method.fit='mle' and method.conf='lrb'.

obj <- wblr.conf(wblr.fit(wblr(failures), method.fit = "mle"), method.conf = "lrb")
plotly_contour(obj)

Customization

ReliaPlotR has several customization options.

plotly_wblr(obj, main = "Weibull Probability Plot", xlab = "Years", ylab = "Failure Probability", confCol = "blue", signif = 4, grid = FALSE)

plotly_contour(obj, main = "Weibull Contour Plot", col = "red", signif = 4, grid = FALSE)

Vignettes

For detailed worked examples see the package vignettes:

• Life Data Analysis
• Accelerated Life Testing
• Reliability Growth Analysis
• Repairable Systems Analysis

Code of Conduct

Please note that the ReliaPlotR project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.