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❗ This is a read-only mirror of the CRAN R package repository. ReliaPlotR — Interactive Reliability Probability Plots. Homepage: https://paulgovan.github.io/ReliaPlotR/https://github.com/paulgovan/ReliaPlotR Report bugs for this package: https://github.com/paulgovan/ReliaPlotR/issues

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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 Reliability Probability Plots with 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(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)

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.

About

❗ This is a read-only mirror of the CRAN R package repository. ReliaPlotR — Interactive Reliability Probability Plots. Homepage: https://paulgovan.github.io/ReliaPlotR/https://github.com/paulgovan/ReliaPlotR Report bugs for this package: https://github.com/paulgovan/ReliaPlotR/issues

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