regrInfluential: Detecting influential cases in regression analyses

In userfriendlyscience: Quantitative Analysis Made Accessible

Description

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.

Author(s)

Gjalt-Jorn Peters & Marwin Snippe

Maintainer: Gjalt-Jorn Peters <[e-mail]>

Examples

regrInfluential(mpg ~ hp, mtcars);

userfriendlyscience documentation built on May 2, 2019, 1:09 p.m.