References

“Front Matter.” 2014. In Applied Regression Analysis, i–xix. John Wiley & Sons, Ltd. doi:10.1002/9781118625590.fmatter.

  1. Note that I use the terms calibrate, fit or adjust indistinctly.↩

  2. We will see how to do it in R automatically↩

  3. Or what is the same observed-predicted↩

  4. The greater the value of a given variable, the lesser the value of the other.↩

  5. Sorry, I know it is in Spanish but you get the point, don’t you?↩

  6. Consider this as homework and check what this function does on your own. It suffices to say that returns a vector.↩

  7. Yes, we can also save plots into objects. In fact this is one of the foundations of the ggplot2 package, the most used one for plotting data, although quite difficult to comprehend at the begining.↩

  8. taken from http://data.library.virginia.edu/understanding-q-q-plots/↩

  9. It is best suited for samples with \(N<30\)↩

  10. Believe it or not, this kind of variable is quite frequent both in nature or environmetal science (species distribution models) or health sciences (disease outbreak).↩

  11. Whatever process we should employ.↩