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Build interactive Weibull Probability Plots with WeibullR, an R package for Weibull analysis, and plotly, an interactive web-based graphing library.
To install WeibullR.plotly in R:
install.packages('WeibullR.plotly')Or install the development version:
devtools::install_github('paulgovan/weibullr.plotly')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)
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)
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.
For an interactive introduction to Life Data Analysis, check out WeibullR.learnr
To try WeibullR.plotly in a Shiny app, check out WeibullR.shiny
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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