inst/snippet/lm-sim01.R

In fastR2: Foundations and Applications of Statistics Using R (2nd Edition)

b0 <- 3; b1 <- 5; sigma <- 2       # set model parameters
x <- rep(1:5, each = 4)            # 4 observations at each of 5 values
e <- rnorm(length(x), sd = sigma)  # error term in the model
y <- b0 + b1 * x + e               # build response according to model
model <- lm(y ~ x)
confint(model)