SHELF (version 1.12.0)

makeCDFPlot: Plot the elicited cumulative probabilities

Description

Plots the elicited cumulative probabilities and, optionally, a fitted CDF. Elicited are shown as filled circles, and limits are shown as clear circles.

Usage

makeCDFPlot(
  lower,
  v,
  p,
  upper,
  fontsize = 12,
  fit = NULL,
  dist = NULL,
  showFittedCDF = FALSE,
  showQuantiles = FALSE,
  ql = 0.05,
  qu = 0.95,
  ex = 1,
  sf = 3,
  xaxisLower = lower,
  xaxisUpper = upper,
  xlab = "x",
  ylab = expression(P(X 

Arguments

lower

lower limit for the uncertain quantity

v

vector of values, for each value x in Pr(X<=x) = p in the set of elicited probabilities

p

vector of probabilities, for each value p in Pr(X<=x) = p in the set of elicited probabilities

upper

upper limit for the uncertain quantity

fontsize

font size to be used in the plot

fit

object of class elicitation

dist

the fitted distribution to be plotted. Options are "normal", "t", "skewnormal", "gamma", "lognormal", "logt","beta", "mirrorgamma", "mirrorlognormal", "mirrorlogt" "hist" (for a histogram fit)

showFittedCDF

logical. Should a fitted distribution function be displayed?

showQuantiles

logical. Should quantiles from the fitted distribution function be displayed?

ql

a lower quantile to be displayed.

qu

an upper quantile to be displayed.

ex

if the object fit contains judgements from multiple experts, which (single) expert's judgements to show.

sf

number of significant figures to be displayed.

xaxisLower

lower limit for the x-axis.

xaxisUpper

upper limit for the x-axis.

xlab

x-axis label.

ylab

y-axis label.

Examples

if (FALSE) {
vQuartiles <- c(30, 35, 45)
pQuartiles<- c(0.25, 0.5, 0.75)
myfit <- fitdist(vals = vQuartiles, probs = pQuartiles, lower = 0)
makeCDFPlot(lower = 0, v = vQuartiles, p = pQuartiles,
 upper = 100, fit = myfit, dist = "gamma",
 showFittedCDF = TRUE, showQuantiles = TRUE)


}