Resumen:
Getting Started -- Essentials of the R Language -- Data Input -- Dataframes -- Graphics -- Tables -- Mathematics -- Classical Tests -- Statistical Modelling -- Regression -- Analysis of Variance -- Analysis of Covariance -- Generalized Linear Models -- Count Data -- Count Data in Tables -- Proportion Data -- Binary Response Variables -- Generalized Additive Models -- Mixed-Effects Models -- Non-linear Regression -- Meta-analysis xxx -- Bayesian statistics xxx -- Tree Models -- Time Series Analysis -- Multivariate Statistics -- Spatial Statistics -- Survival Analysis -- Simulation Models -- Changing the Look of Graphics -- References and Further Reading.