Updated and proofread R-Code for Statistics and Data Visualizations in Climate Science with R and Python, a Cambridge University Press book by Samuel S.P. Shen
R Codes published through Rpubs:
Chapter 1: Basics of Climate Data Arrays, Statistics, and Visualization
Chapter 2: Elementary Probability and Statistics
Chapter 3: Estimation and Decision Making
Chapter 4: Regression Models and Methods
Chapter 5: Matrices for Climate Data
Chapter 6: Covariance Matrices, EOFs, and PCs
Chapter 7: Introduction to Time Series
Chapter 8: Spectral Analysis and Filtering of Time Series
Chapter 9: Basics of Machine Learning