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 WeibullR.plotly in R:

install.packages('WeibullR.plotly')

Or install the development version:

devtools::install_github('paulgovan/weibullr.plotly')

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

WeibullR.plotly 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 WeibullR.plotly project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

More Resources

WeibullR.learnr - an interactive introduction to Life Data Analysis

WeibullR.shiny - a shiny app for Weibull Analysis