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ReliaPlotR

Project Status: Active – The project has reached a stable, usable state and is being actively developed. CRAN status R-CMD-check Codecov test coverage

Build interactive Weibull Probability Plots with WeibullR, an R package for Weibull analysis, and plotly, an interactive web-based graphing library.

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(WeibullR.plotly)
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)

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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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