ASMbook (version 1.0.2)

simDat63: Simulate data for Chapter 6.3: Two groups with unequal variance

Description

Simulate wingspan measurements in female and male peregrines with unequal variance.

Usage

simDat63(n1 = 60, n2 = 40, mu1 = 105, mu2 = 77.5, sigma1 = 3, sigma2 = 2.5)

Value

A list of simulated data and parameters.

n1

Female sample size

n2

Male sample size

mu1

Female mean

mu2

Male mean

beta

Difference in wingspan mean between sexes

sigma1

Standard deviation for females

sigma2

Standard deviation for males

x

Indicator variable for sex, 1 = male

y

Simulated wingspan data

Arguments

n1

The sample size of females

n2

The sample size of males

mu1

The population mean males

mu2

The population mean females

sigma1

The standard deviation for females

sigma2

The standard deviation for males

Author

Marc Kéry

Examples

str(dat <- simDat63())            # Implicit default arguments
str(dat <- simDat63(sigma1 = 5, sigma2 = 1)) # Very unequal variances

# Much larger sample sizes and larger difference in residual variation
str(dat <- simDat63(n1 = 10000, n2 = 10000, sigma1 = 5, sigma2 = 2))

# Revert to model with homoscedasticity
str(dat <- simDat63(n1 = 10000, n2 = 10000, sigma1 = 5, sigma2 = 5))

# Revert to "model-of-the-mean" (with larger sample size)
str(dat <- simDat63(n1 = 10000, n2 = 10000, mu1 = 105, mu2 = 105, sigma1 = 5, sigma2 = 5))