deletion.gvlma {gvlma} | R Documentation |
Deletion Statistics for a Linear Model
Description
Computes the deletion statistics (leave-one-out) for assessing unusual observations in a linear model.
Usage
deletion.gvlma(gvlmaobj)
Arguments
gvlmaobj |
A |
Details
Given a gvlma
object, which contains in the component GlobalTest
the test statistics and p-values for the global and directional tests to
assess linear models assumptions, deletion.gvlma
computes the
leave-one-out global and directional statistics. The deletion
statistics are reported as percent relative change from the
corresponding statistic value based on the full data set.
Value
A dataframe is returned with variables
DeltaGlobalStat
, GStatpvalue
, DeltaStat1
,
Stat1pvalue
, DeltaStat2
, Stat2pvalue
,
DeltaStat3
,
Stat3pvalue
, DeltaStat4
, and Stat4pvalue
.
Each “Delta” variable is the percent relative change in the
statistic when the corresponding observation (row of the data
frame) is dropped. Each “pvalue” variable is the p-value
associated with the deletion statistic. (Note the p-value is
NOT a change in the p-values for the full and leave-one-out
statistic values.)
Author(s)
Slate, EH slate@stat.fsu.edu and Pena, EA pena@stat.sc.edu.
References
Pena, EA and Slate, EH (2006). “Global validation of linear model assumptions,” J.\ Amer.\ Statist.\ Assoc., 101(473):341-354.
See Also
Examples
data(CarMileageData)
CarModelAssess <- gvlma(NumGallons ~ MilesLastFill, data = CarMileageData)
CarModelDel <- deletion.gvlma(CarModelAssess)
CarModelDel