# regrInfluential

##### Detecting influential cases in regression analyses

This function combines a number of criteria for determining whether a datapoint is an influential case in a regression analysis. It then sum the criteria to compute an index of influentiality. A list of cases with an index of influentiality of 1 or more is then displayed, after which the regression analysis is repeated without those influantial cases. A scattermatrix is also displayed, showing the density curves of each variable, and in the scattermatrix, points that are colored depending on how influential each case is.

##### Usage

`regrInfluential(formula, data)`

##### Arguments

- formula
The formule of the regression analysis.

- data
The data to use for the analysis.

##### Value

A `regrInfluential`

object, which, if printed, shows the influential cases, the regression analyses repeated without those cases, and the scatter matrix.

##### Examples

```
# NOT RUN {
regrInfluential(mpg ~ hp, mtcars);
# }
```

*Documentation reproduced from package userfriendlyscience, version 0.6-1, License: GPL (>= 2)*

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