inspect {asuR} | R Documentation |
This functions can be used to validate some assumptions of linear regressions. The idea of this functions is to illustrate possibilities, not to provide fully functional code. The functions work for regression models with continous variables only.
inspect(mymodel, which = c("select", "sequence", "all"), id = c("all", "none"), ...) irp(mymodel) ryp(mymodel, id= c("none", "all")) ilp(mymodel) prp(mymodel)
mymodel |
an object of class glm or lm , usually, a result of a
call to the function glm or lm |
which |
a character string; one of the following:
description{
select sequence all |
id |
a character string or numeric value; in which panel should it be possible to interactively identify values |
... |
further arguments |
The function inspect calls other functions (depending on their class) to inspect the model assumptions.
A list with identified values (row names), one slot for each inspection function.
On some devices you are not allowed to resize the window before interactively selecting points
plot
data(mytrees) model <- lm(log(Volume) ~ log(Girth) + log(Height), data=mytrees) ## inspect(model) ### for printing ##pdf(~/temp/diagnostic.pdf) ##inspect(model) ##dev.off()