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This extracts the code that provides the major part of the statistical information used by plot.lm, leaving out the code used to provide the graphs
lmdiags(x, which = c(1L:3L, 5L), cook.levels = c(0.5, 1), hii=NULL)
fitted values
standardized residuals (for glm models standardized deviance residuals)
glm
As yh, but omitting observations with zero weight
yh
Cook's statistics
standardized residuals (for glm models standardized Pearson residuals)
This must be an object of class lm object, or that inherits from an object of class lm.
lm
a subset of the numbers '1:6', indicating the plots for which statistical information is required
Levels for contours of cook.levels, by default c(0.5,1)
cook.levels
c(0.5,1)
Diagonal elements for the hat matrix. If not supplied (hii=NULL), they will be calculated from the argument x.
hii=NULL
x
John Maindonald, using code that John Maindonald, Martin Maechler and others had contributed to plot.lm
plot.lm
See plot.lm for additional information.
See references for plot.lm
plotSimDiags, plot.lm
plotSimDiags
women.lm <- lm(weight ~ height, data=women) veclist <- lmdiags(x=women.lm) ## Returns the statistics that are required for graphs 1, 2, 3, and 5
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