Environmental Data Analysis: An Introduction with Examples in R (Paperback)

Preface.- The technical side: selecting a statistical software.- 1 Sample statistics.- 2 Sample statistics in R.- 3 Distributions, parameters and estimators.- 4 Distributions, parameters and estimators in R.- 5 Correlation and association.- 6 Correlation and association in R.- 7 Regression - Part I.- 8 Regression in R - Part I.- 9 Regression - Part II.- 10 Regression in R - Part II.- 11 The linear model: t-test and ANOVA.- 12 The linear model: t-test and ANOVA in R.- 13 Hypotheses and tests.- 14 Experimental Design.- 15 Multiple Regression.- 16 Multiple Regression in R.- 17 Outlook.- Index.