# influencePlot

From car v2.0-20
by John Fox

##### Regression Influence Plot

This function creates a

- Keywords
- regression

##### Usage

```
influencePlot(model, ...)
## S3 method for class 'lm':
influencePlot(model, scale=10,
xlab="Hat-Values", ylab="Studentized Residuals",
labels, id.method = "noteworthy",
id.n = if(id.method[1]=="identify") Inf else 0,
id.cex=1, id.col=palette()[1], ...)
```

##### Arguments

- model
- a linear or generalized-linear model.
- scale
- a factor to adjust the size of the circles.
- xlab, ylab
- axis labels.
- labels, id.method, id.n, id.cex, id.col
- settings for labelling
points; see
`link{showLabels}`

for details. To omit point labelling, set`id.n=0`

, the default. The default`id.method="noteworthy"`

is used only in this function and indicates setting labels for - ...
- arguments to pass to the
`plot`

and`points`

functions.

##### Value

- If points are identified, returns a data frame with the hat values, Studentized residuals and Cook's distance of the identified points. If no points are identified, nothing is returned. This function is primarily used for its side-effect of drawing a plot.

##### References

Fox, J. (2008)
*Applied Regression Analysis and Generalized Linear Models*,
Second Edition. Sage.
Fox, J. and Weisberg, S. (2011)
*An R Companion to Applied Regression*, Second Edition, Sage.

##### See Also

##### Examples

`influencePlot(lm(prestige ~ income + education, data=Duncan))`

*Documentation reproduced from package car, version 2.0-20, License: GPL (>= 2)*

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