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Summarise heteroscedasticity test results

Source: R/advancedDiagnostics.R
compareTestResults.Rd

Runs selected diagnostics for a single model and returns a tidy data frame of test statistics and p-values.

Usage

compareTestResults(model, data = NULL, tests = c("white", "breusch_pagan"))

Arguments

model

A fitted lm model or a formula.

data

Data frame used if model is a formula.

tests

Character vector of heteroscedasticity tests.

Value

Data frame with columns test, statistic, and p.value.

Examples

data(mtcars)
m <- lm(mpg ~ wt + qsec, mtcars)
compareTestResults(m)
#> [INFO] Running White test
#> [INFO] White test completed: statistic = 11.8225 df = 5 p = 0.0373
#> [INFO] Running Breusch-Pagan test
#>            test statistic    p.value
#> 1         white  11.82248 0.03730286
#> 2 breusch_pagan   3.13479 0.20858780