| Type: | Package |
| Title: | Interactive Weibull Probability Plots |
| Version: | 0.3.1 |
| Description: | Build interactive Weibull Probability Plots with 'WeibullR' by David Silkworth and Jurgen Symynck (2022) https://CRAN.R-project.org/package=WeibullR, an R package for Weibull analysis, and 'plotly' by Carson Sievert (2020) https://plotly-r.com, an interactive web-based graphing library. |
| URL: | https://paulgovan.github.io/WeibullR.plotly/, https://github.com/paulgovan/WeibullR.plotly |
| BugReports: | https://github.com/paulgovan/WeibullR.plotly/issues |
| License: | Apache License version 1.1 | Apache License version 2.0 [expanded from: Apache License] |
| Imports: | plotly, ReliaGrowR, WeibullR |
| Suggests: | knitr, rmarkdown, spelling, testthat (≥ 3.0.0), WeibullR.learnr, WeibullR.shiny |
| Encoding: | UTF-8 |
| RoxygenNote: | 7.3.2 |
| Config/testthat/edition: | 3 |
| Language: | en-US |
| NeedsCompilation: | no |
| Packaged: | 2025-07-16 19:01:55 UTC; paulgovan |
| Author: | Paul Govan  [aut,
cre, cph] |
| Maintainer: | Paul Govan <paul.govan2@gmail.com> |
| Repository: | CRAN |
| Date/Publication: | 2025-07-16 19:30:09 UTC |
Interactive Contour Plot
Description
This function creates an interactive contour plot for one or more 'wblr' objects, each assumed to have confidence contours generated via ‘method.conf = ’lrb''. The function overlays all contours in a single plot and displays their respective MLE point estimates.
Usage
plotly_contour(
wblr_obj,
main = "Contour Plot",
xlab = "Eta",
ylab = "Beta",
showGrid = TRUE,
cols = NULL,
gridCol = "lightgray",
signif = 3
)
Arguments
wblr_obj |
A single 'wblr' object or a list of 'wblr' objects. |
main |
Main title for the plot. |
xlab |
X-axis label (typically Eta or Sigmalog). |
ylab |
Y-axis label (typically Beta or Mulog). |
showGrid |
Logical; whether to show grid lines (default TRUE). |
cols |
Optional vector of colors for each contour/estimate pair. If not provided, colors are chosen from a default palette. |
gridCol |
Color of the grid lines (default 'lightgray'). |
signif |
Number of significant digits to display for estimates and contour coordinates. |
Value
A 'plotly' object representing the interactive contour plot.
Examples
library(WeibullR)
library(WeibullR.plotly)
failures1 <- c(30, 49, 82, 90, 96)
failures2 <- c(20, 40, 60, 80, 100)
obj1 <- wblr.conf(wblr.fit(wblr(failures1), method.fit = 'mle'), method.conf = 'lrb')
obj2 <- wblr.conf(wblr.fit(wblr(failures2), method.fit = 'mle'), method.conf = 'lrb')
plotly_contour(list(obj1, obj2), main = "Overlayed Contours")
Interactive Duane Plot.
Description
This function creates an interactive Duane plot for a duane object.
Usage
plotly_duane(
duane_obj,
showGrid = TRUE,
main = "Duane Plot",
xlab = "Cumulative Time",
ylab = "Cumulative MTBF",
pointCol = "black",
fitCol = "black",
gridCol = "lightgray"
)
Arguments
duane_obj |
An object of class 'duane'. |
showGrid |
Show grid (TRUE) or hide grid (FALSE). |
main |
Main title. |
xlab |
X-axis label. |
ylab |
Y-axis label. |
pointCol |
Color of the point values. |
fitCol |
Color of the model fit. |
gridCol |
Color of the grid. |
Value
The function returns no value.
Examples
library(ReliaGrowR)
times<-c(100, 200, 300, 400, 500)
failures<-c(1, 2, 1, 3, 2)
fit<-duane_plot(times, failures)
plotly_duane(fit)
Interactive Reliability Growth Plot.
Description
This function creates an interactive reliability growth plot for an rga object.
Usage
plotly_rga(
rga_obj,
showConf = TRUE,
showGrid = TRUE,
main = "Reliability Growth Plot",
xlab = "Cumulative Time",
ylab = "Cumulative Failures",
pointCol = "black",
fitCol = "black",
confCol = "black",
gridCol = "lightgray",
breakCol = "black"
)
Arguments
rga_obj |
An object of class 'rga'. |
showConf |
Show the confidence bounds (TRUE) or not (FALSE). |
showGrid |
Show grid (TRUE) or hide grid (FALSE). |
main |
Main title. |
xlab |
X-axis label. |
ylab |
Y-axis label. |
pointCol |
Color of the point values. |
fitCol |
Color of the model fit. |
confCol |
Color of the confidence bounds. |
gridCol |
Color of the grid. |
breakCol |
Color of the breakpoints. |
Value
The function returns no value.
Examples
library(ReliaGrowR)
times<-c(100, 200, 300, 400, 500)
failures<-c(1, 2, 1, 3, 2)
rga<-rga(times, failures)
plotly_rga(rga)
Interactive Probability Plot.
Description
This function creates an interactive probability plot for a wblr object.
Usage
plotly_wblr(
wblr_obj,
susp = NULL,
showConf = TRUE,
showSusp = TRUE,
showRes = TRUE,
showGrid = TRUE,
main = "Probability Plot",
xlab = "Time to Failure",
ylab = "Probability",
probCol = "black",
fitCol = "black",
confCol = "black",
intCol = "black",
gridCol = "lightgray",
signif = 3
)
Arguments
wblr_obj |
An object of class 'wblr'. |
susp |
An optional numeric vector of suspension data. |
showConf |
Show the confidence bounds (TRUE) or not (FALSE). |
showSusp |
Show the suspensions plot (TRUE) or not (FALSE). |
showRes |
Show the results table (TRUE) or not (FALSE). |
showGrid |
Show grid (TRUE) or hide grid (FALSE). |
main |
Main title. |
xlab |
X-axis label. |
ylab |
Y-axis label. |
probCol |
Color of the probability values. |
fitCol |
Color of the model fit. |
confCol |
Color of the confidence bounds. |
intCol |
Color of the intervals for interval censored models. |
gridCol |
Color of the grid. |
signif |
Significant digits of results |
Value
The function returns no value.
Examples
library(WeibullR)
library(WeibullR.plotly)
failures<-c(30, 49, 82, 90, 96)
obj<-wblr.conf(wblr.fit(wblr(failures)))
plotly_wblr(obj)