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.
regrInfluential(formula, data, createPlot = TRUE)# S3 method for regrInfluential
print(x, headingLevel = 3, ...)
A regrInfluential object, which, if printed, shows the
influential cases, the regression analyses repeated without those cases, and
the scatter matrix.
The formule of the regression analysis.
The data to use for the analysis.
Whether to create the scattermatrix (requires the GGally
package to be installed).
Object to print.
The number of hash symbols to prepend to the heading.
Additional arguments are passed on to the regr print function.
Gjalt-Jorn Peters & Marwin Snippe
Maintainer: Gjalt-Jorn Peters gjalt-jorn@userfriendlyscience.com
regrInfluential(mpg ~ hp, mtcars);
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