Greenhouse gas emissions have caused considerable changes in climate, including increased surface air temperatures and rising sea levels. This e-textbook presents a series of laboratory exercises in R that teach the Earth science and statistical concepts needed for assessing climate-related risks. These exercises are intended for upper-level undergraduates, beginning graduate students, and professionals in other areas who wish to gain insight into academic climate risk analysis.
This book gives an introduction to several aspects of econometric production analysis. It provides many practical examples using the R statistical software.
The data's out there, but what can we do with it? As the ultimate chaser of technological innovation, Formula One motor sport is still outpaced by baseball and cricket in the stats fans stakes. But no more: it's time for the F1 data junkies to fight back...
Do you want to start using R for crunching machine learning models right from the start with examples? Then this book is for you.