I stumbled upon this book by chance, when searching for material about time series (probably the most interesting chapter in this collection.) The various chapters are accessible from the top tabs, on this web page. It is mostly about R, but it has a few interesting chapters on statistical science too. Below is a summary.
Time series decomposition (in chapter 23)
This website was created with 6 major sections: Programming, Plotting, Regression, ANOVA, Advanced topics,and R-Apps.The tutorials build on each other, but can also be utilized independently from one another, and refer back to other chapters that cover related topics in greater depth.
Some the chapters simulate datasets and others have links for you to download csv files. Each chapter might use different packages (i.e., library of functions), please
install.packages("name of package") indicated at the start of each chapter for doing the tutorial. For more information on installing packages see https://www.r-bloggers.com/installing-r-packages/.
The authors of the tutorials were all graduate students in the department of psychology at the University of Illinois at Chicago.