Use R! Livres

Dive into the world of data analysis with the 'Use R!' series. Perfect for statisticians, researchers, and anyone keen to master R, these books offer practical guidance and innovative techniques.

48

Use R! Series in Order:

  1. A Primer on Linear Models (1996)
  2. A Handbook of Small Data Sets (2000)
  3. S Programming (2000)
  4. Modern Applied Statistics With S (2002)
  5. Time Series Analysis With Applications in R (2008)
  6. Exploratory Multivariate Analysis by Example Using R (2011)
  7. Analysis of integrated and co-integrated time series with R (2012)
  8. Applied Statistics for Engineers and Scientists (2012)
  9. Displaying Time Series, Spatial, and Space-Time Data with R (2012)
  10. Regression Modeling with Actuarial and Financial Applications (2013)
  11. Analysis of Ordinal Categorical Data (2013)
  12. The R Software (2014)
  13. Analyzing Baseball Data with R (2014)
  14. Applied Econometrics with R (2015)
  15. Statistical Analysis and Data Display (2015)
  16. Bayesian Networks with Examples in R (2015)
  17. Functional Data Analysis with R (2015)
  18. Modelling Mortality with Actuarial and Epidemiological Applications in R (2015)
  19. Statistical Tools for Data Analysis in Ecology and Evolution (2016)
  20. Text Mining with R (2016)
  21. Introduction to Probability with R (2016)
  22. Data Science in R (2017)
  23. Geocomputation with R (2017)
  24. Dynamic Documents with R and knitr (2017)
  25. Extending R (2017)
  26. Statistical Regression and Classification (2017)
  27. Machine Learning with R, the Tidyverse, and mlr (2017)
  28. Introduction to Time Series and Forecasting (2018)
  29. An Introduction to Statistical Learning (2018)
  30. Spatial Point Patterns (2018)
  31. Practical Regression and Anova using R (2019)
  32. Numerical Analysis Using R (2019)
  33. Handbook of Regression Modeling in People Analytics (2020)
  34. Financial Risk Modelling and Portfolio Optimization with R (2020)
  35. Data Visualization (2020)
  36. Applied Spatial Data Analysis with R (2020)
  37. Longitudinal Data Analysis for the Behavioral Sciences Using R (2020)
  38. Foundations of Data Science with R (2020)
  39. Introduction to Data Science (2020)
  40. Spatial Analysis Using Big Data (2021)
  41. Advanced R Solutions (2021)
  42. Complex Surveys (2022)
  43. Causal Inference (2022)
  44. Applied Longitudinal Data Analysis (2023)
  45. Data Wrangling with R (2023)
  46. Statistical Computing with R (2023)
  47. Introduction to Modern Statistics (2023)
  48. Introduction to Scientific Programming and Simulation Using R (2024)
  49. Mastering Data Analysis with R (2024)