makeCDFPlot: Plot the elicited cumulative probabilities

In SHELF: Tools to Support the Sheffield Elicitation Framework

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 <= 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", "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

## Not run: 
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)



## End(Not run)

SHELF documentation built on June 7, 2023, 5:11 p.m.