simDat5: Simulate data for Chapter 5: Simple linear regression

In ASMbook: Functions for the Book "Applied Statistical Modeling for Ecologists"

Simulate data for Chapter 5: Simple linear regression

Description

Simulate percent occupancy population trajectory of Swiss Wallcreepers from a normal distribution. Note that other choices of arguments may lead to values for x and y that no longer make sense in the light of the story in Chapter 5 (i.e., where y is a percentage), but will still be OK for the statistical model introduced in that chapter.

Usage

simDat5(n = 16, a = 40, b = -0.5, sigma2 = 25)

Arguments

n	The sample size
a	Value for the intercept
b	Value for the slope
sigma2	Value for the residual variance

Value

A list of simulated data and parameters.

n	Sample size
a	Intercept
b	Slope
sd	Residual SD
y	Simulated wallcreeper occupancy probabilities

Author(s)

Marc Kéry

Examples

str(dat <- simDat5())        # Implicit default arguments
str(dat <- simDat5(b = 0))    # Stable population (this is a de-facto "model-of-the-mean")
str(dat <- simDat5(b = 0.5)) # Expected increase

ASMbook documentation built on Sept. 11, 2024, 5:38 p.m.