plot.idr: Plot IDR predictions

In isodistrreg: Isotonic Distributional Regression (IDR)

Description

Plot an IDR predictive CDF.

Usage

## S3 method for class 'idr'
plot(
  x,
  index = 1,
  bounds = TRUE,
  col.cdf = "black",
  col.bounds = "blue",
  lty.cdf = 1,
  lty.bounds = 3,
  xlab = "Threshold",
  ylab = "CDF",
  main = "IDR predictive CDF",
  ...
)

Arguments

x	object of class idr (output of predict.idrfit).
index	index of the prediction in x for which a plot is desired.
bounds	whether the bounds should be plotted or not (see predict.idrfit for details about the meaning of the bounds).
col.cdf	color of the predictive CDF.
col.bounds	color of the bounds.
lty.cdf	linetype of the predictive CDF.
lty.bounds	linetype of the CDF bounds.
xlab	label for x axis.
ylab	label for y axis.
main	main title.
...	further arguments to plot.stepfun or plot.

Value

The data based on which the plot is drawn (returned invisible).

See Also

predict.idrfit

Examples

data("rain")
require("graphics")

## Postprocess HRES and CTR forecast using data of 2 years

X <- rain[1:(2 * 365), c("HRES", "CTR"), drop = FALSE]
y <- rain[1:(2 * 365), "obs"]

## Fit IDR and plot the predictive CDF when the HRES forecast is 1 mm and
## CTR is 0 mm

fit <- idr(y = y, X = X)
pred <- predict(fit, data = data.frame(HRES = 1, CTR = 0))
plot(pred)

isodistrreg documentation built on March 22, 2021, 5:06 p.m.