univariate_density: Univariate kernal density estimate plot of VBGF parameter...

In rschwamborn/fishboot: Bootstrap-based methods for the study of fish stocks and aquatic populations

Description

Univariate kernal density estimate plot of VBGF parameter from bootstrapping results

Usage

univariate_density(res, CI = 95, use_hist = FALSE, nbreaks = 10,
  mar = c(1.5, 2, 2, 0), oma = c(1.5, 0, 0, 0.5), mgp = c(2, 0.5, 0),
  tcl = -0.25, cex = 1, ...)

Arguments

res	list of class 'lfqBoot'
CI	numeric. Confidence interval level (Default: 95)
use_hist	logical. Plot histogram in addition to smoothed kernel density.
nbreaks	numeric. Number of breaks in the histogram.
mar	vector. Inner margins settings. See '?par'.
oma	vector. Outer margins settings.See '?par'.
mgp	vector. See '?par'.
tcl	vector. See '?par'.
cex	numeric. See '?par'.
...	Additional arguments passed to 'par'.

Value

plot

Examples

data(alba_boot)
univariate_density(alba_boot)

rschwamborn/fishboot documentation built on July 27, 2019, 12:36 a.m.