relm | R Documentation |
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()
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.