ufs (version 0.3.2)

regrInfluential: Detecting influential cases in regression analyses

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)
# S3 method for regrInfluential
print(x, headingLevel = 3, ...)

Arguments

formula

The formule of the regression analysis.

data

The data to use for the analysis.

x

Object to print.

headingLevel

The number of hash symbols to prepend to the heading.

...

Additional arguments are passed on to the regr print function.

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);

# }