Resample a Linear Model
Fit a new model to data created using resample(model).
relm(model, ..., envir = environment(formula(model)))
model |
a linear model object produced using |
... |
additional arguments passed through to |
envir |
an environment in which to (re)evaluate the linear model. |
resample()
mod <- lm(length ~ width, data = KidsFeet) do(1) * mod do(3) * relm(mod) # use residual resampling to estimate standard error (very crude because so few replications) Boot <- do(100) * relm(mod) sd(~ width, data = Boot) # standard error as produced by summary() for comparison mod %>% summary() %>% coef()
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