R

1. 0470117664 Optimal Portfolio Modeling; Models to Maximize Returns and Control Risk in Excel and R [McDonnell 2008] {1DD2B4C1}.pdf 145.99 MB
2. 1498775675 Data Analysis for the Life Sciences with R [Irizarry & Love 2017] {2AC95787}.pdf 135.23 MB
3. 3319497502 Data Visualization with R; 100 Examples [Rahlf 2017] {D41392AB}.pdf 101.76 MB
4. 3030284433 Data Visualisation with R; 111 Examples (2nd ed.) [Rahlf 2019] {C1249438}.pdf 90.37 MB
5. 2759826015 Applied Multivariate Statistical Analysis and Related Topics with R [Wu & Qiu 2021] {91C5881F}.pdf 86.99 MB
6. 1138054887 Missing and Modified Data in Nonparametric Estimation; with R Examples [Efromovich 2018] {632C1BD0}.pdf 86.27 MB
7. 1138340561 Omic Association Studies with R and Bioconductor [González & Cáceres 2019] {2F8DAB67}.pdf 82.23 MB
8. 1786463504 R; Data Analysis and Visualization [Moses et al. 2016] {BB1D5761}.pdf 78.86 MB
9. 1439809755 Statistics and Data Analysis for Microarrays; Using R and Bioconductor (2nd ed.) [Drăghici 2012] {B91EECA5}.pdf 76.03 MB
10. 1032244070, 1032245514 Crime by the Numbers; A Criminologist's Guide to R [Kaplan 2023] {C9B8DE5B}.pdf 72.06 MB
11. 1484228715 Advanced R Statistical Programming and Data Models; Analysis, Machine Learning, and Visualization [Wiley & Wiley 2019] {D73C4881}.pdf 71.82 MB
12. 3031142357 Essentials of Excel VBA, Python, and R (vol. 1; Financial Statistics and Portfolio Analysis) (2nd ed.) [Lee & Lee 2022] {753C4971}.pdf 70.32 MB
13. 3319896342 Elements of Copula Modeling with R [Hofert et al. 2018] {94F79367}.pdf 67.00 MB
14. 1032098139, 1498701272 Statistics in Toxicology using R [Hothorn 2016] {E5E056A3}.pdf 66.07 MB
15. 1526411490, 1526411504 Quantitative Social Science Data with R; An Introduction [Fogarty 2019] {36405948}.pdf 63.47 MB
16. 1119516633 Statistics and Probability with Applications for Engineers and Scientists using Minitab, R and JMP (2nd ed.) [Gupta, Guttman & Jayalath 2020] {3D4BD2F0}.pdf 62.45 MB
17. 103224402X, 1032244038 R Data Analysis without Programming; Explanation and Interpretation (2nd ed.) [Gerbing 2023] {19A9CE1F}.pdf 61.32 MB
18. 1138484032 Reproducible Finance with R; Code Flows and Shiny Apps for Portfolio Analysis [Regenstein 2019] {F6C871CC}.pdf 60.11 MB
19. 1783554398 Practical Big Data Analytics (Hadoop, Spark, NoSQL, R) [Dasgupta 2018] {3EEC79B1}.pdf 58.35 MB
20. 3031174828 Data Science and Predictive Analytics; Biomedical and Health Applications using R (2nd ed.) [Dinov 2023] {2A0B10C3}.pdf 50.54 MB
21. 1032015039, 1032026219 Surveying with Geomatics and R [de Carvalho Alves & Sanches 2022] {66124A53}.pdf 50.10 MB
22. 1633439844 Deep Learning with R (2nd ed.) [Chollet, Kalinowski & Allaire 2022] {1501F1D4}.pdf 49.83 MB
23. 1523285133 Using R for Introductory Econometrics [Heiss 2016] {00896486}.pdf 49.52 MB
24. 1032347716, 1032352884 Geographic Data Science with R; Visualizing and Analyzing Environmental Change [Wimberly 2023] {6EEAE192}.pdf 47.03 MB
25. 1138304514 Geocomputation with R [Lovelace, Nowosad & Muenchow 2019] {4ECD4250}.pdf 46.50 MB
26. 1032259620, 1032259639 Bayesian Multilevel Models for Repeated Measures Dаta; A Conceptual and Practical Introduction in R [Barreda & Silbert 2023] {1C078746}.pdf 46.04 MB
27. 1138608181 Population Genomics with R [Paradis 2020] {51840A7C}.pdf 45.88 MB
28. 1801071322 Machine Learning with R (4th ed.) [Lantz 2023] {8C28B9C1}.pdf 44.83 MB
29. 1138627186, 1498736874 R for Programmers; Advanced Techniques [Zhang 2017] {1CF07287}.pdf 43.72 MB
30. 3110795884 Mathematical Foundations of Data Science using R (2nd ed.) [Emmert-Streib, Moutari & Dehmer 2022] {75C93971}.pdf 43.28 MB
31. 1498704476 Sufficient Dimension Reduction; Methods and Applications with R [Li 2018] {1ACF1784}.pdf 43.04 MB
32. 0367470764, 0367470772 Applied Spatial Statistics and Econometrics; Data Analysis in R [Kopczewska 2021] {75957974}.pdf 42.71 MB
33. 9798648424364 Using R for Introductory Econometrics (2nd ed.) [Heiss 2020] {EC1F99BF}.pdf 42.40 MB
34. 110849420X Model-Based Clustering and Classification for Data Science; With Applications in R [Bouveyron et al. 2019] {02C68557}.pdf 42.29 MB
35. 1138369853 Advanced Spatial Modeling with Stochastic Partial Differential Equations using R and INLA [Krainski et al. 2019] {F85041FB}.pdf 41.82 MB
36. 0367221098 Time Series; A Data Analysis Approach using R [Shumway & Stoffer 2019] {4BBC89BB}.pdf 41.21 MB
37. 3319140744 Analyzing Financial Data and Implementing Financial Models using R [Ang 2015] {184D07B1}.pdf 40.72 MB
38. 1617296570 Machine Learning with R, the tidyverse, and mlr [Rhys 2020] {EDD435DD}.pdf 40.14 MB
39. 0415962706, 0415962714 Quantitative Corpus Linguistics with R; A Practical Introduction [Gries 2009] {98BFCF94}.pdf 39.92 MB
40. 0521813360 Data Analysis and Graphics using R; An Example-Based Approach [Maindonald & Braun 2003] {745369F6}.pdf 39.82 MB
41. 1118091574 Mixed Models; Theory and Applications with R (2nd ed.) [Demidenko 2013] {DE614B87}.pdf 39.23 MB
42. 1138386359, 1138726915 Practical R for Mass Communication and Journalism [Machlis 2019] {B4CE7926}.pdf 38.41 MB
43. 0192859013, 0192859021 Statistical Modeling with R; A Dual Frequentist and Bayesian Approach for Life Scientists [Inchausti 2023] {0266BBD1}.pdf 36.85 MB
44. 0128013788 Applied Hierarchical Modeling in Ecology; Analysis of Distribution, Abundance and Species Richness in R and BUGS (vol. 1; Prelude and Static Models) [Kéry & Royle 2016] {254DD3A4}.pdf 36.72 MB
45. 0124171133 Mathematical Statistics with Applications in R [Ramachandran & Tsokos 2015] {3D79119B}.pdf 36.45 MB
46. 1138495689 Hands-On Machine Learning with R [Boehmke & Greenwell 2020] {20881328}.pdf 35.98 MB
47. 0367634600, 1498781853 Computational Genomics with R [Akalin 2021] {392D56D3}.pdf 35.64 MB
48. 0672338483 Teach Yourself R in 24 Hours [Nicholls, Pugh & Gott 2016] {4F3F1A6D}.pdf 35.46 MB
49. 3031177843 Uncertainty Quantification using R [de Cursi 2023] {D0D40182}.pdf 34.67 MB
50. 1584887117 Handbook of Fitting Statistical Distributions with R [Karian & Dudewicz 2010] {DD4AB503}.pdf 34.55 MB