DAAG (version 1.24)

qreference: Normal QQ Reference Plot

Description

This function computes the normal QQ plot for given data and allows for comparison with normal QQ plots of simulated data.

Usage

qreference(test = NULL, m = 50, nrep = 6, distribution = function(x) qnorm(x, 
    mean = ifelse(is.null(test), 0, mean(test)), sd = ifelse(is.null(test), 
    1, sd(test))), seed = NULL, nrows = NULL, cex.strip = 0.75, 
    xlab = NULL, ylab = NULL)

Arguments

test

a vector containing a sample to be tested; if not supplied, all qq-plots are of the reference distribution

m

the sample size for the reference samples; default is test sample size if test sample is supplied

nrep

the total number of samples, including reference samples and test sample if any

distribution

reference distribution; default is standard normal

seed

the random number generator seed

nrows

number of rows in the plot layout

cex.strip

character expansion factor for labels

xlab

label for x-axis

ylab

label for y-axis

Value

QQ plots of the sample (if test is non-null) and all reference samples

Examples

Run this code
# NOT RUN {
# qreference(rt(180,1))

# qreference(rt(180,1), distribution=function(x) qt(x, df=1))

# qreference(rexp(180), nrep = 4)

# toycars.lm <- lm(distance ~ angle + factor(car), data = toycars)
# qreference(residuals(toycars.lm), nrep = 9)
# }

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