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s20x (version 3.1-40)

residPlot: Fitted values versus residuals plot

Description

Plots a scatter plot for the variables of the residuals and fitted values from the linear model, lmfit. A lowess smooth line for the underlying trend, as well as one standard deviation error bounds for the scatter about this trend, are added to this scatter plot. A test for a quadratic relationship between the residuals and the fitted values is also computed.

Usage

residPlot(lmfit, f = 0.5)

Value

Returns the plot.

Arguments

lmfit

an lm object, i.e. the output from lm.

f

the smoother span. This gives the proportion of points in the plot which influence the smooth at each value. Larger values give more smoothness.

See Also

trendscatter

Examples

Run this code

# Peruvian Indians data
data(peru.df)
fit=lm(BP~age+years+weight+height, data = peru.df)
residPlot(fit)

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