plotProbW: Plot a probability weighting function.

In gary-au/pt: Computational models for prospect theory and other theories of risky decision making

Description

Plot a probability weighting function using base graphics.

Usage

plotProbW(my_title, my_title_colour, my_title_font_size, my_x_label, my_y_label,
  pwf, par, draw_reference_line_flag, reference_line_colour,
  reference_line_style, my_labels, my_label_positions, font_scaling,
  arrow_positions)

Arguments

my_title	text, the title
my_title_colour	text, the title colour
my_title_font_size	numeric, the title font size
my_x_label	text, my_x_label
my_y_label	text, the my_y_label
pwf	function, the pwf
par	vector, the pwf_parameters
draw_reference_line_flag	logical, draw_reference_line_flag
reference_line_colour	text, reference_line_colour
reference_line_style	text, reference_line_style
my_labels	vector, labels
my_label_positions	vector, the coordinates for the labels
font_scaling	numeric, the scaling factor for the labels
arrow_positions	vector, the positions of arrow lines

Examples

plotProbW(my_title=expression(paste("Kahneman & Tversky (1992), ",
	c==0.61)),
	my_title_colour="black", my_title_font_size=4,
	my_x_label = "p", my_y_label = "w(p)",
	pwf=kt_pwf, par=c(c=0.61),
	draw_reference_line_flag=TRUE, reference_line_colour="red",
	reference_line_style="dotted",
	my_labels=c(expression(paste(w(italic(p)) == frac(italic(p)^c,
	(italic(p)^c + (1-italic(p))^c)^(1/c))))),
	my_label_positions=list(c(0.4,0.8)),
	font_scaling=1.0)

gary-au/pt documentation built on May 16, 2019, 5:41 p.m.