Example

eda10.shape(scan("lot_hen_pat"), scan("lotta_pat1-2"), scan("hen_pat1-2"),
scan("tmp.lotta1-2"))

Transcript

but this is something that you might want to, for example, put in a publication that summarizes your data. Now, in this case, it was a precision experiment where we had 10 patients, and we also had 24 model studies, and we had 2 readers for the patient part of the data - and we wanted to check that the two examiners got the same value for each (of the boxes) for each of the patients that they examined. We wanted to know what the interdependence of the examiners were. Where they independent or dependent? And then we drew Q-Q plots for each of those characteristics. So you see on the density plot we have the model studies are the first one, and you can see the type of line. And then and the data for examiner one is plotted in this matter. The data for examiner two is plotted here. And then the inter-examiner dependence is here. And this gives you a good visual picture of what you did in (your) both in your test and what the results of the test are.