eecf: Empirical Exposure Curve Function

In spedygiorgio/mbbefd: Maxwell Boltzmann Bose Einstein Fermi Dirac Distribution and Destruction Rate Modelling

Empirical Exposure Curve Function

Description

Compute an empirical exposure curve function, with several methods for plotting, printing, computing with such an object.

Usage

eecf(x)


## S3 method for class 'eecf'
plot(x, ..., ylab="Gn(x)", do.points=TRUE, 
     col.01line = "gray70", pch = 19, main=NULL, ylim=NULL, 
     add=FALSE)

## S3 method for class 'eecf'
lines(x, ...)

## S3 method for class 'eecf'
print(x, digits= getOption("digits") - 2, ...)

## S3 method for class 'eecf'
summary(object, ...)

Arguments

x, object	numeric vector of the observations for eecf; for the methods, an object of class "eecf".
...	arguments to be passed to subsequent methods, e.g., to the plot method.
ylab	label for the y-axis.
do.points	logical; if TRUE, also draw points at the (xlim restricted) knot locations.
col.01line	numeric or character specifying the color of the horizontal lines at y = 0 and 1, see colors.
pch	plotting character.
main	main title.
ylim	the y limits of the plot.
add	logical; if TRUE add to an already existing plot.
digits	number of significant digits to use, see print.

Details

Compute a continuous empirical exposure curve and returns an object of class "eecf" similar to what an object returned by ecdf.

Value

For eecf, a function of class "eecf", inheriting from the "function" class.

For the summary method, a summary of the knots of object with a "header" attribute.

Author(s)

Dutang Christophe

See Also

exposureCurve, ecdf.

Examples

x <- c(0.4756816, 0.1594636, 0.1913558, 0.2387725, 0.1135414, 0.7775612,
  0.6858736, 0.4340655, 0.3181558, 0.1134244)

#print
eecf(x)

#summary
summary(eecf(x))

#plot
plot(eecf(x))

#lines
lines(eecf(x[1:4]), col="red")

spedygiorgio/mbbefd documentation built on Sept. 2, 2023, 1:55 p.m.