iNZightQQplot {iNZightRegression}

iNZight QQ Plot

Description

Produces a sample of QQ-plots based on the fitted values, overlaid by a QQ-plot of the original data.

Usage

iNZightQQplot(x, n = 5, env = parent.frame())

Arguments

x

an lm or svyglm object (with family = "Gaussian".

n

the number of sampled QQ plots to produce beneath the QQ plot of x.

env

environment for finding data to bootstrap

Details

Multiple bootstrap models are generated from the fitted values of the model, each with different random normal errors with standard error equal to the estimated residual standard error from the original model. These are plotted, and then overlaid by the QQ plot from the original data.

This plot can be used to assess the assumption of normality in the residuals for a linear regression model.

Value

No return value, called to produce plot.

Author(s)

David Banks, Tom Elliott

See Also

histogramArray

Examples

fit <- lm(Volume ~ Height + Girth, data = trees)
iNZightQQplot(fit)