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:
::install_github('paulgovan/weibullr.plotly') devtools
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)
<-c(30, 49, 82, 90, 96)
failures<-wblr.conf(wblr.fit(wblr(failures)))
objplotly_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'
.
<-wblr.conf(wblr.fit(wblr(failures), method.fit = 'mle'), method.conf = 'lrb')
objplotly_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