xyplot.pbo: PBO xy-plots

Description Usage Arguments Details See Also

Description

Draws an annotated plot of performance degradation and probability of loss.

Usage

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## S3 method for class 'pbo'
xyplot(x, data = NULL, plotType = "cscv", show_eqn = TRUE,
  show_threshold = TRUE, show_config = TRUE, show_rug = TRUE,
  show_prob = TRUE, show_grid = TRUE, increment = 0.01,
  osr_threshold = 0, sel_threshold = 0, xlab, ylab, main, lwd = 1,
  ylab_left, ylab_right, col_bar, col_line, col_sd1 = "#3366cc",
  col_sd2 = "#339999", lty_sd = c(1, 2, 4), ...)

Arguments

x

a pbo object as returned by pbo.

data

should not be used

plotType

one of cscv, degradation, dominance, pairs, ranks or selection.

col_bar

histogram bar fill color

col_line

density plot line color

col_sd1

color of two first-order stochastic dominance lines

col_sd2

color of the single second-order stochastic dominance line

xlab

x-axis label, default computed if not provided

ylab

y-axis label, default computed if not provided

main

plot title, default computed if not provided

lwd

line width, default 1, passed to panels and legends

lty_sd

line type array for stochastic dominance plot, e.g. c(2,3,5)

ylab_left

dominance plot left-hand axis label

ylab_right

dominance plot right-hand axis label

increment

stochastic dominance distribution generator increment, e.g. 0.1 steps

osr_threshold

out-of-sample rank threshold for filtering, default 0

sel_threshold

selection frequency threshold for filtering, default 0

show_eqn

whether to show the line equation annotation, default TRUE

show_threshold

whether to show the probability of loss annotation, default TRUE

show_config

whether to show the study dimension annotations, default TRUE

show_grid

whether to show the panel grid, default TRUE

show_prob

whether to show the probability value in dominance plot, default TRUE

show_rug

whether to show scatter rugs near the axes, default TRUE

...

other parameters passed to xyplot or its panels

Details

Provides several variations of xy-plots suitable for presentation of PBO analysis results. Use the plotType argument to indicate which variation or result to plot:

See Also

pbo, histogram.pbo, xyplot.pbo


pbo documentation built on May 2, 2019, 6:53 a.m.