R Codes for Climate Statistics

Steps To Download the R Code for the Entire Book:

(i) Right click on the link
(ii) Select "Save Page As" from the File drop-down menu
(iii) Choose your destination folder, change your file name to .R, click "Save".

Chapter-by-Chapter Display of the R Code and Graphics:
(Momtaza Sayd produced the html files below)
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 of Time Series
Chapter 9: Introduction to Machine Learning

Citation: Shen, S.S.P., and G.R. North, 2023: Statistics and Data Visualization in Climate Science with R and Python, Cambridge University Press, Cambridge, United Kingdom, 391pp.