R Tutorial with Bayesian Statistics Using OpenBUGS by Yau Chi

Author:Yau, Chi
Language: eng
Format: epub
Tags: COM077000
Publisher: Chi Yau
Published: 2013-09-17T04:00:00+00:00

Solution

We apply the function lm to a formula that describes the dependent variable eruptions by the independent variable waiting, and save the new linear regression model in a variable eruption.lm.

> attach(faithful) > eruption.lm = + lm(eruptions ~ waiting)

Then we create a data frame containing the waiting time parameter.

> newdata = data.frame(waiting=80)

We now apply the function predict by setting the predictor variable in the argument newdata. We also set the interval type as "predict", and use the default 0.95 confidence level.

> predict(eruption.lm, newdata, + interval="predict") fit lwr upr 1 4.1762 3.1961 5.1564 > detach(faithful) # clean up

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