Dear users,
Can anyone help with a rather simplistic question about the interpretation
of output using the Boot ( ) function in the Car package?
I am trying to bootstrap a simple univariate linear regression in order to
look at the bootstrap regression coefficients e.g.
mod1 <- lm (y~x)
mod1.b <- Boot(mod1, R=999)
summary (mod1.b)
This returns output like this:
R original bootBias bootSE bootMed
(Intercept) 999 5.365528 -8.0960e-05 0.0501306 5.365241
x 999 0.032211 7.3683e-05 0.0029743 0.032158
I'm having trouble finding out what "bootMed" means. If 'original' is the
non-bootstrapped regression coefficient, is bootMed the bootstrapped
regression coefficient?
I presume this is a frighteningly simple question for regular car package
users, but I can't seem to find an explanation what this means.
Best wishes
Dan Hughes
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