Most elements explained here applied to regression-type functions; please read it as an introduction to these functions.
line() produces a Tukey line>
When you execute this command line, you will see this output that contains the regression coefficients.
Call: line(x, y) Coefficients:  60.5868 -0.1157
You can also store the object:
resline = line(urb,infmor)
an then examine this object with str(resline) to display:
List of 4 $ call : language line(x, y) $ coefficients : num [1:2] 60.587 -0.116 $ residuals : num [1:183] -42.47 -2.36 -24.24 -12.12 29.99 ... $ fitted.values: num [1:183] 60.5 60.4 60.2 60.1 60.0 ... - attr(*, "class")= chr "tukeyline"
The function creates an object of type "tukeyline" which is a regression type object; a series of functions let you extract this information from it for their specific purpose.
The same information can also be retrieved using resline$coefficients, resline$residuals or resline$fitted.
You can use this directly in various functions, e.g.
Note that you can also write: plot(line(urb~infmor)$residuals))