# infIndexPlot

From car v2.0-20
by John Fox

##### Influence Index Plot

Provides index plots of Cook's distances, leverages, Studentized residuals, and outlier significance levels for a regression object.

- Keywords
- hplot, regression

##### Usage

```
infIndexPlot(model, ...)
influenceIndexPlot(model, ...)
## S3 method for class 'lm':
infIndexPlot(model,
vars=c("Cook", "Studentized", "Bonf", "hat"),
main="Diagnostic Plots",
labels, id.method = "y",
id.n = if(id.method[1]=="identify") Inf else 0,
id.cex=1, id.col=palette()[1], grid=TRUE, ...)
```

##### Arguments

- model
- A regression object of class
`lm`

or`glm`

. - vars
- All the quantities listed in this argument are plotted. Use
`"Cook"`

for Cook's distances,`"Studentized"`

for Studentized residuals,`"Bonf"`

for Bonferroni p-values for an outlier test, and and`"hat"`

fo - main
- main title for graph
- id.method,labels,id.n,id.cex,id.col
- Arguments for the labelling of
points. The default is
`id.n=0`

for labeling no points. See`showLabels`

for details of these arguments. - grid
- If TRUE, the default, a light-gray background grid is put on the graph
- ...
- Arguments passed to
`plot`

##### Value

- Used for its side effect of producing a graph. Produces four index plots of Cook's distance, Studentized Residuals, the corresponding Bonferroni p-values for outlier tests, and leverages.

##### References

Cook, R. D. and Weisberg, S. (1999)
*Applied Regression, Including Computing and Graphics.* Wiley.
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.
Weisberg, S. (2014)
*Applied Linear Regression*, Fourth Edition, Wiley.

##### See Also

##### Examples

```
m1 <- lm(prestige ~ income + education + type, Duncan)
influenceIndexPlot(m1)
```

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

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