pdfplots: Plot fitted population pdfs

In SHELF: Tools to Support the Sheffield Elicitation Framework

Plot fitted population pdfs

Description

Plot fitted population pdfs at combinations of two different values of the population mean and variance.

Usage

pdfplots(
  medianfit,
  precisionfit,
  alpha = 0.05,
  tails = 0.05,
  lower = NA,
  upper = NA,
  n.x = 100,
  d = "best",
  fontsize = 18
)

Arguments

medianfit	The output of a fitdist command following elicitation of the expert's beliefs about the population median.
precisionfit	The output of a fitdist command following elicitation of the expert's beliefs about the population precision.
alpha	Value between 0 and 1 to determine choice of means and variances used in plots
tails	Value between 0 and 1 to determine the tail area shown in the pdf plots
lower	lower limit on the x-axis for plotting.
upper	upper limit on the x-axis for plotting.
n.x	The number of points on the x-axis at which the pdf is plotted.
d	The fitted distribution for the population median. Can be one of "normal", "lognormal" or "best", where "best" will select the best fitting out of normal and lognormal.
fontsize	Font size used in the plots.

Details

Four pdfs are plotted, using each combination of the alpha/2 and 1-alpha/2 quantiles of the fitted distributions for the population median and standard deviation

Value

A plot and a list, containing

mu	The two population mean values used in the plots.
sigma	The two population standard deviation values used in the plots.

References

multiplot function obtained from http://www.cookbook-r.com/Graphs/Multiple_graphs_on_one_page_(ggplot2)/

Examples

## Not run: 
prfit <- fitprecision(interval = c(60, 70), propvals = c(0.2, 0.4), trans = "log")
medianfit <- fitdist(vals = c(50, 60, 70), probs = c(0.05, 0.5,  0.95), lower = 0)
pdfplots(medianfit, prfit, alpha = 0.01)
 
## End(Not run)

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