histogramArray {iNZightRegression}

Histogram Array

Description

Produces an array of histograms to compare against the histogram of residuals for a fitted linear model.

Usage

histogramArray(x, n = 7, env = parent.frame())

Arguments

x

an lm or svyglm object.

n

the number of additional histograms to plot alongside the original.

env

environment for finding data to bootstrap

Details

The histogram of the model x appears in the top-left position. For each of the other histograms, the fitted values of x are taken and normal random errors are added to these. The normal residual standard errors have standard error equal to the estimated residual standard error of x. A model is then fitted to this altered data and a histogram is produced.

Value

No return value, called to generate plot.

Author(s)

David Banks, Tom Elliott

See Also

iNZightQQplot

Examples

histogramArray(lm(Sepal.Length ~ Sepal.Width + Species, data = iris))