Gage R&R

lecture data

First, we graphically explore the data as done in the lecture.

Next, lets build the first ANOVA model!

At the heart of the ANOVA we find the function lm(). Find out what lm() does.

Hint 1

Use the ?.

So, let’s do some lm()ing

What do you think ~ is?

What do you think + is?

What do you think * is?

Inspect the model!

Hint 1

Use the print().

Hint 2

Use the head().

Hint 3

Use the str().

You can also get the lm coefficients using coef()

The next question is, if the model and its terms is significant. This can be checked using the summary() function

Apparently, none of terms are significant? But what does that mean? Apparently, it does not matter which of the batteries we measure by which voltmeter. But we want the measurement systems to detect changes. Theese systems are probably not up for the task. You can also see that when using the prepared Gage R&R function from the SixSigma package.