R: Durbin-Watson Test for Autocorrelated Errors

durbinWatsonTest {car}

R Documentation

Durbin-Watson Test for Autocorrelated Errors

Description

Computes residual autocorrelations and generalized Durbin-Watson statistics and their bootstrapped p-values. dwt is an abbreviation for durbinWatsonTest.

Usage

durbinWatsonTest(model, ...)

dwt(...)

## S3 method for class 'lm'
durbinWatsonTest(model, max.lag=1, simulate=TRUE, reps=1000,
    method=c("resample","normal"),
    alternative=c("two.sided", "positive", "negative"), ...)

## Default S3 method:
durbinWatsonTest(model, max.lag=1, ...)

## S3 method for class 'durbinWatsonTest'
print(x, ...)

Arguments

`model`	a linear-model object, or a vector of residuals from a linear model.
`max.lag`	maximum lag to which to compute residual autocorrelations and Durbin-Watson statistics.
`simulate`	if `TRUE` p-values will be estimated by bootstrapping.
`reps`	number of bootstrap replications.
`method`	bootstrap method: `"resample"` to resample from the observed residuals; `"normal"` to sample normally distributed errors with 0 mean and standard deviation equal to the standard error of the regression.
`alternative`	sign of autocorrelation in alternative hypothesis; specify only if `max.lag = 1`; if `max.lag > 1`, then `alternative` is taken to be `"two.sided"`.
`...`	arguments to be passed down.
`x`	`durbinWatsonTest` object.

Value

Returns an object of type "durbinWatsonTest".

Note

p-values are available only from the lm method.

Author(s)

John Fox jfox@mcmaster.ca

References

Fox, J. (2008) Applied Regression Analysis and Generalized Linear Models, Second Edition. Sage.

Examples

durbinWatsonTest(lm(fconvict ~ tfr + partic + degrees + mconvict, data=Hartnagel))

[Package car version 2.0-12 Index]