Description Usage Arguments Value Side Effects See Also Examples
Produces a set of comparison diagnostic plots. The plot options are
Normal QQ Plot of Residuals,
Kernel Density Estimate of Residuals,
Residuals vs. Mahalanobis Distance,
Residuals vs. Fitted Values,
Sqrt Residuals vs. Fitted Values,
Response vs. Fitted Values,
Residuals vs. Index (Time),
Overlaid Normal QQ Plot of Residuals,
Overlaid Kernel Density Estimate of Residuals,
Scatter Plot with Overlaid Fits (for simple linear regression models).
1 2 |
x |
an |
which.plots |
either |
... |
additional parameters are ignored. |
x
is invisibly returned.
The selected plots are drawn on a graphics device.
See sideBySideQQPlot
for 2,
sideBySideKernelDensityPlot
for 3,
sideBySideIndexPlot
for 8,
overlaidQQPlot
for 9,
overlaidKernelDensityPlot
for 10,
overlaidSimpleRegressionPlot
for 11, and
sideBySideScatterPlot
for the others.
1 2 3 4 5 | data(stackloss)
stack.lm <- lm(stack.loss ~ ., data = stackloss)
stack.clean <- lm(stack.loss ~ ., data = stackloss, subset = 5:20)
fm <- fit.models(stack.clean, stack.lm)
plot(fm)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.