WeibullR.plotly (version 0.3.2)

plotly_contour: 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
)

Value

A `plotly` object representing the interactive contour plot.

Arguments

wblr_obj

A single `wblr` object or a list of `wblr` objects. Each object must have contours generated using `method.conf = 'lrb'`.

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. Defaults to 3.

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")