BITCQ

R

Size: 4.7 GB
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Name Size
R/0123814855 Doing Bayesian Data Analysis; A Tutorial with R and BUGS [Kruschke 2010] {8F0FA212}.pdf 9.9 MB
R/0123969638 R and Data Mining; Examples and Case Studies [Zhao 2012] (unverified; missing front matter) {D68C82E8}.pdf 9.7 MB
R/0124058884 Doing Bayesian Data Analysis; A Tutorial with R, JAGS, and Stan (2nd ed.) [Kruschke 2015] {3F70A3F5}.pdf 24.9 MB
R/012411511X Data Mining Applications with R [Zhao & Cen 2014] {96039219}.pdf 17.6 MB
R/012802402X Relationship Inference with Familias and R; Statistical Methods in Forensic Genetics [Egeland, Kling & Mostad 2016] {2D9A2B98}.pdf 5.1 MB
R/0128178159 Mathematical Statistics with Applications in R (3rd ed.) [Ramachandran & Tsokos 2021] {4C83C7DA}.pdf 13.4 MB
R/013454692X R for Everyone; Advanced Analytics and Graphics (2nd ed.) [Lander 2017] {9F56087E}.pdf 9.4 MB
R/0190228083 Making Your Case; Using R for Program Evaluation [Auerbach & Zeitlin 2015] {24505358}.pdf 16.4 MB
R/0198729057, 0198729065 The New Statistics with R; An Introduction for Biologists [Hector 2015] {5FD9A8E7}.pdf 33.7 MB
R/0198787839, 0198787847 Getting Started with R; An Introduction for Biologists (2nd ed.) [Beckerman, Childs & Petchey 2017] {EC5CBFBC}.pdf 6.6 MB
R/0198798172, 0198798180 The New Statistics with R; An Introduction for Biologists (2nd ed.) [Hector 2021] {BF691949}.pdf 12.2 MB
R/0231202121, 023120213X A Primer in Biological Data Analysis and Visualization using R (2nd ed.) [Hartvigsen 2021] {38B12711}.pdf 4.9 MB
R/036713991X Statistical Rethinking; A Bayesian Course with Examples in R and Stan (2nd ed.) [McElreath 2020] {A1E80D8C}.pdf 24.7 MB
R/036718253X, 0367182556 Learn R; As a Language [Aphalo 2020] {26F62055}.pdf 8 MB
R/0367191490, 0367745445 Modern Data Science with R (2nd ed.) [Baumer, Kaplan & Horton 2021] {AE493EB9}.pdf 89.1 MB
R/0367277980, 1032209577 Bayesian Modelling of Spatio-Temporal Data with R [Sahu 2022] {2C37F816}.pdf 60.9 MB
R/0367365472, 1032220082 Statistical Methods for Mediation, Confounding and Moderation Analysis using R and SAS [Yu & Li 2022] {BA96AA8F}.pdf 9 MB
R/0367422247, 0367422255 Data Science in Education using R [Estrellado et al. 2021] {9408EA15}.pdf 6.6 MB
R/0367470772, 0367470764 Applied Spatial Statistics and Econometrics; Data Analysis in R [Kopczewska 2021] {75957974}.pdf 41.7 MB
R/0367507854, 0367561948 Mathematics and Programming for Machine Learning with R; From the Ground Up [Claster 2021] {6D3188A7}.pdf 10.3 MB
R/0367550547, 0367550563 Spatial Predictive Modeling with R [Li 2022] {E91145F0}.pdf 75.5 MB
R/0367753685, 0367753669 Linear Regression Models; Applications in R [Hoffman 2022] {D0855AED}.pdf 12.5 MB
R/0367860856 Spatial Analysis with R; Statistics, Visualization, and Computational Methods (2nd ed.) [Oyana 2021] {45369904}.pdf 8.3 MB
R/0387094172 R for SAS and SPSS Users [Muenchen 2009] {C3BA0FB3}.pdf 5.6 MB
R/0387096078 A Modern Approach to Regression with R [Sheather 2009] {4276219A}.pdf 7.8 MB
R/0387096159 Nonlinear Regression with R [Ritz & Streibig 2008] {918FFCF3}.pdf 2.5 MB
R/0387251464 Bioinformatics and Computational Biology Solutions using R and Bioconductor [Gentleman et al. 2005] {8566CD96}.pdf 7.4 MB
R/0387293175 Time Series Analysis and Its Applications; with R Examples (2nd ed.) [Shumway & Stoffer 2006] {265705CF}.pdf 6.5 MB
R/0387329145 Analysis of Phylogenetics and Evolution with R [Paradis 2006] {33867FD4}.pdf 1.1 MB
R/0387400818 Statistical Tools for Nonlinear Regression; A Practical Guide with S-PLUS and R Examples (2nd ed.) [Huet, Bouvier, Poursat & Jolivet 2004] {EA320D9D}.pdf 1.9 MB
R/038740273X Introduction to Probability Simulation and Gibbs Sampling with R [Suess & Trumbo 2010] {6AE10A95}.pdf 10.6 MB
R/0387717617 Interactive and Dynamic Graphics for Data Analysis; with R and GGobi [Cook & Swayne 2007] {156792FF}.pdf 5.2 MB
R/0387747303 Data Manipulation with R [Spector 2008] {D4067DE7}.pdf 973 KB
R/0387758380 Simulation and Inference for Stochastic Differential Equations; with R Examples [Iacus 2008] {5547682A}.pdf 1.9 MB
R/0387759352 Software for Data Analysis; Programming with R [Chambers 2008] {76CA5EED}.pdf 4.4 MB
R/0387759581 Time Series Analysis; with Applications in R (2nd ed.) [Cryer & Chan 2008] {BBBBD826}.pdf 6.5 MB
R/0387759689 Lattice; Multivariate Data Visualization with R [Sarkar 2008] {07B59E6D}.pdf 9.3 MB
R/0387773169 Applied Econometrics with R [Kleiber & Zeileis 2008] {540E768A}.pdf 4 MB
R/0387781668 Statistical Methods for Environmental Epidemiology with R; A Case Study in Air Pollution and Health [Peng & Dominici 2008] {136DB492}.pdf 8.8 MB
R/0387790535 Introductory Statistics with R (2nd ed.) [Dalgaard 2008] {F302B7FC}.pdf 2.9 MB
R/0387874577 Mixed Effects Models and Extensions in Ecology with R [Zuur, Ieno, Walker, Saveliev & Smith 2009] {92412285}.pdf 8.8 MB
R/0387886974 Introductory Time Series with R [Cowpertwait & Metcalfe 2009] {F30D8164}.pdf 2.8 MB
R/0387895531 Applied Statistical Genetics with R; For Population-Based Association Studies [Foulkes 2009] {65D0FE19}.pdf 2.5 MB
R/0387898816 A Primer of Ecology with R [Stevens 2009] {D1002F93}.pdf 6 MB
R/0387921249 A Guide to QTL Mapping with R-qtl [Broman & Sen 2009] {A9867292}.pdf 4.8 MB
R/0387922970 Bayesian Computation with R (2nd ed.) [Albert 2009] {461A8AA4}.pdf 2.5 MB
R/0387938362 A Beginner's Guide to R [Zuur, Ieno & Meesters 2009] {F819DCE4}.pdf 3.8 MB
R/0387981403 ggplot2; Elegant Graphics for Data Analysis (R) [Wickham 2009] {968CEA74}.pdf 12.5 MB
R/0387981845 Functional Data Analysis with R and MATLAB [Ramsay, Hooker & Graves 2009] {4AAEEC70}.pdf 4.5 MB
R/041564173X, 0415657202 R Data Analysis Without Programming [Gerbing 2014] {F505F6E8}.pdf 3.8 MB
R/0415832446, 0415832454 Latent Variable Modeling with R [Finch & French 2015] {35F16C19}.pdf 8.1 MB
R/0415962714, 0415962706 Quantitative Corpus Linguistics with R; A Practical Introduction [Gries 2009] {D1A728F6}.pdf 48 MB
R/0470022981, 0470022973 Statistics; An Introduction using R [Crawley 2005] {DBE9C90D}.pdf 2.6 MB
R/0470094826 Maximum Likelihood Estimation and Inference; with Examples in R, SAS and ADMB [Millar 2011] {6AF6C9A5}.pdf 3.2 MB
R/0470117664 Optimal Portfolio Modeling; Models to Maximize Returns and Control Risk in Excel and R [McDonnell 2008] {1DD2B4C1}.pdf 142.6 MB
R/0470384425 Multivariate Nonparametric Regression and Visualization; with R and Applications to Finance [Klemelä 2014] {4C99F075}.pdf 19.8 MB
R/0470467045 An Introduction to Bootstrap Methods with Applications to R [Chernick & LaBudde 2011] {0028E7FB}.pdf 1 MB
R/0470479884 Statistics for Censored Environmental Data using Minitab and R (2nd ed.) [Helsel 2012] {3BC32F4F}.pdf 2.3 MB
R/0470510242 The R Book [Crawley 2007] {5C4E65B2}.pdf 14.3 MB
R/0470583622 Time Series; Applications to Finance with R and S-Plus (2nd ed.) [Chan 2010] {9BB99386}.pdf 11.1 MB
R/0470669438 Financial Risk Forecasting; The Theory and Practice of Forecasting Market Risk with Implementation in R and MATLAB [Danı́elsson 2011] {D317E316}.pdf 3.1 MB
R/0470745843 Option Pricing and Estimation of Financial Models with R [Iacus 2011] {1D091DFE}.pdf 4.4 MB
R/0470758058 Statistics and Data with R; An Applied Approach through Examples [Cohen & Cohen 2008] {2D887375}.pdf 12 MB
R/0470890819 An Introduction to Analysis of Financial Data with R [Tsay 2013] {09F41ED0}.pdf 15.4 MB
R/0470922257 Adaptive Tests of Significance using Permutations of Residuals with R and SAS [O'Gorman 2012] {7A70A7CC}.pdf 5.4 MB
R/0470971282 Modern Analysis of Customer Surveys; with Applications using R [Kenett & Salini 2012] {C2D29863}.pdf 4.3 MB
R/0470973927 The R Book (2nd ed.) [Crawley 2013] {680CFD44}.pdf 9.4 MB
R/0470978708 Financial Risk Modelling and Portfolio Optimization with R [Pfaff 2013] {5494EAE5}.pdf 5.3 MB
R/052168689X, 0521867061 Data Analysis using Regression and Multilevel-Hierarchical Models [Gelman & Hill 2007] {D84C06E8}.pdf 8.8 MB
R/0521762936 Data Analysis and Graphics using R; An Example-Based Approach (3rd ed.) [Maindonald & Braun 2010] {7BA7B6B0}.pdf 6 MB
R/052176727X Modern Statistical Methods for Astronomy; with R Applications [Feigelson & Babu 2012] {7BDD56AB}.pdf 21.5 MB
R/0521872650, 0521694248 A First Course in Statistical Programming with R [Braun & Murdoch 2007] {E2507C51}.pdf 841 KB
R/0557249791 Introduction to Probability and Statistics using R [Kerns 2010] {A3272850}.pdf 2.3 MB
R/059680170X R in a Nutshell; A Desktop Quick Reference [Adler 2010] {F0859C1C}.pdf 5.4 MB
R/0596804776 Data Mashups in R [Leipzig & Yu 2009] {69EAF614}.pdf 1.4 MB
R/0596809158 R Cookbook; Proven Recipes for Data Analysis, Statistics, and Graphics [Teetor 2011] {416BBFD7}.pdf 6.6 MB
R/0672338483 Teach Yourself R in 24 Hours [Nicholls, Pugh & Gott 2016] {4F3F1A6D}.pdf 34.6 MB
R/0789757850 R for Microsoft Excel Users; Making the Transition for Statistical Analysis [Carlberg 2017] {B26B05D0}.pdf 8.7 MB
R/0817648100 Contingency Table Analysis; Methods and Implementation using R [Kateri 2014] {14C1F90E}.pdf 3.8 MB
R/0954612000 The R Reference Manual Base Package (vol. 1) (ver. 1.8.1) [2003] {084B0A9C}.pdf 1.5 MB
R/0954612019 The R Reference Manual Base Package (vol. 2) (ver. 1.8.1) [2003] {42666806}.pdf 1.6 MB
R/1032015039, 1032026219 Surveying with Geomatics and R [de Carvalho Alves & Sanches 2022] {66124A53}.pdf 48.9 MB
R/1032065362, 1032071591 Machine Learning for Knowledge Discovery with R; Methodologies for Modeling, Inference and Prediction [Tsai 2022] {1320CFD5}.pdf 12.6 MB
R/111802639X Guidebook to R Graphics using Microsoft Windows [Takezawa 2012] {92AB8E5E}.pdf 4.1 MB
R/1118029852 Mathematical Statistics with Resampling and R [Chihara & Hesterberg 2011] {49D9EB0A}.pdf 6.5 MB
R/1118091574 Mixed Models; Theory and Applications with R (2nd ed.) [Demidenko 2013] {A1009845}.pdf 38.3 MB
R/111816430X Beginning R; The Statistical Programming Language [Gardener 2012] {05424818}.pdf 17.6 MB
R/1118241258 Probability; with Applications and R [Dobrow 2014] {38E05C3C}.pdf 6.9 MB
R/1118326555 Spatial and Spatio-temporal Bayesian Models with R-INLA [Blangiardo & Cameletti 2015] {D66A30DE}.pdf 26.4 MB
R/111833258X Data Mining Algorithms; Explained using R [Cichosz 2015] {39016C67}.pdf 6.4 MB
R/1118391411 The Essential R Reference [Gardener 2013] {598B521A}.pdf 14.6 MB
R/1118422546 Basic Data Analysis for Time Series with R [Derryberry 2014] {9D8553FD}.pdf 6.8 MB
R/1118428218 Introduction to Statistics through Resampling Methods and R (2nd ed.) [Good 2013] {3C42953B}.pdf 18.7 MB
R/111844714X Data Mining and Business Analytics with R [Ledolter 2013] {2A564651}.pdf 30.3 MB
R/1118456068 Modern Industrial Statistics; with Applications in R, MINITAB and JMP (2nd ed.) [Kenett & Zacks 2014] {0374AB58}.pdf 11 MB
R/1118569288 Nonlinear Parameter Optimization using R Tools [Nash 2014] {4AD8BF30}.pdf 3.4 MB
R/1118596307 Statistical Methods for Hospital Monitoring with R [Morton, Mengersen, Whitby & Playford 2013] {6FCC861A}.pdf 3.2 MB
R/1118617908 Multivariate Time Series Analysis; with R and Financial Applications [Tsay 2014] {4E6F5A2D}.pdf 5.5 MB
R/1118705181 Differential Equation Analysis in Biomedical Science and Engineering; Partial Differential Equation Applications with R [Schiesser 2014] {072CF957}.pdf 2.2 MB
R/1118705483 Differential Equation Analysis in Biomedical Science and Engineering; Ordinary Differential Equation Applications with R [Schiesser 2014] {88AB9F0B}.pdf 2.8 MB
R/1118738063 Robust Nonlinear Regression; with Applications using R [Riazoshams, Midi & Ghilagaber 2019] {8469345C}.pdf 3.2 MB
R/1118740653 Introduction to Stochastic Processes with R [Dobrow 2016] {C0881554}.pdf 10.3 MB
R/111883481X Automated Data Collection with R; A Practical Guide to Web Scraping and Text Mining [Munzert, Rubba, Meißner & Nyhuis 2015] {3D6F2079}.pdf 4.6 MB
R/1118879368 Data Mining for Business Analytics; Concepts, Techniques, and Applications in R [Shmueli et al. 2018] {6794EC67}.pdf 13.3 MB
R/1118897153 Statistical Data Cleaning with Applications in R [van der Loo & de Jonge 2018] {22920630}.pdf 2.8 MB
R/1118941098 Statistics; An Introduction using R (2nd ed.) [Crawley 2015] {97DEA614}.pdf 4.9 MB
R/1118944003 Investing in Mortgage-Backed and Asset-Backed Securities; Financial Modeling with R and Open Source Analytics [Schultz 2016] {C4F4DD02}.pdf 11.4 MB
R/1118949161 Panel Data Econometrics with R [Croissant & Millo 2019] {80335799}.pdf 3.4 MB
R/1119055806 R for Dummies (2nd ed.) [de Vries & Meys 2015] {E19C5C47}.pdf 5.4 MB
R/1119061393 Understanding and Applying Basic Statistical Methods using R [Wilcox 2017] {698C3029}.pdf 3.7 MB
R/1119080029 A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R [Buttrey & Whitaker 2018] {B39C4F91}.pdf 1.5 MB
R/1119119669 Financial Risk Modelling and Portfolio Optimization with R (2nd ed.) [Pfaff 2016] {44270F87}.pdf 6.3 MB
R/1119152720 A Course in Statistics with R [Tattar, Ramaiah & Manjunath 2016] {0628F0EC}.pdf 8 MB
R/1119302609 Probability, Decisions and Games; A Gentle Introduction using R [Rodríguez & Mendes 2018] {D80E0B49}.pdf 5 MB
R/1119337062 Statistical Analysis with R for Dummies [Schmuller 2017] {6D5CDE7D}.pdf 10.8 MB
R/111941654X Mathematical Statistics with Resampling and R (2nd ed.) [Chihara & Hesterberg 2019] {CE422E9E}.pdf 11.9 MB
R/111944618X R Projects for Dummies [Schmuller 2018] {3987FBE7}.pdf 5.6 MB
R/1119516633 Statistics and Probability with Applications for Engineers and Scientists using Minitab, R and JMP (2nd ed.) [Gupta, Guttman & Jayalath 2020] {3D4BD2F0}.pdf 61 MB
R/1119526817 Data Science using Python and R [Larose & Larose 2019] {62E20AC7}.pdf 4.3 MB
R/1119536944 Probability with R; An Introduction with Computer Science Applications (2nd ed.) [Horgan 2020] {3EE49827}.pdf 13.1 MB
R/1119549930 Univariate, Bivariate, and Multivariate Statistics using R; Quantitative Tools for Data Analysis and Data Science [Denis 2020] {A1B7EF36}.pdf 7.6 MB
R/1119551528 Applied Statistics; Theory and Problem Solutions with R [Rasch, Verdooren & Pilz 2020] {4F93D744}.pdf 5.5 MB
R/1119591511 Practical Machine Learning in R [Nwanganga & Chapple 2020] {193E6B0E}.pdf 13.1 MB
R/111995021X Statistical Hypothesis Testing with SAS and R [Taeger & Kuhnt 2014] {E2475A3A}.pdf 4.2 MB
R/1119952379 Nonparametric Hypothesis Testing; Rank and Permutation Methods with Applications in R [Bonnini, Corain, Marozzi & Salmaso 2014] {F317BEEA}.pdf 2 MB
R/1137354070 Quantitative Trading with R; Understanding Mathematical and Computational Tools from a Quant's Perspective [Georgakopoulos 2015] {85F03DC9}.pdf 17.9 MB
R/1138054887 Missing and Modified Data in Nonparametric Estimation; with R Examples [Efromovich 2018] {632C1BD0}.pdf 84.2 MB
R/1138088633, 1498740006 The Essentials of Data Science; Knowledge Discovery using R [Williams 2017] {3ADF3033}.pdf 7 MB
R/1138304514 Geocomputation with R [Lovelace, Nowosad & Muenchow 2019] {4ECD4250}.pdf 45.4 MB
R/1138359335 R Markdown; The Definitive Guide [Xie, Allaire & Grolemund 2018] {4609EB6D}.pdf 9.1 MB
R/1138469270, 1498775713 Extending R [Chambers 2016] {BB2ADA9E}.pdf 3.5 MB
R/1138480606 Exploratory Data Analysis using R [Pearson 2018] {C4DC6606}.pdf 4.8 MB
R/1138498955, 1138495719 Introduction to Bioinformatics with R; A Practical Guide for Biologists [Curry 2021] {D90C130C}.pdf 4.4 MB
R/113850162X Finite Element Computations in Mechanics with R; A Problem-Centered Programming Approach [Mustapha 2018] {3139BC56}.pdf 11.6 MB
R/1138599492 Statistical Analysis of Financial Data; with Examples in R [Gentle 2020] {7510D6CB}.pdf 12.2 MB
R/1138600792, 1138600814 Basketball Data Science; With Applications in R [Zuccolotto & Manisera 2020] {2230922F}.pdf 8.3 MB
R/1138627828 Data Analysis using Hierarchical Generalized Linear Models with R [Lee, Rönnegård & Noh 2017] {24EA8F55}.pdf 22.3 MB
R/1402086237 A Practical Guide to Ecological Modelling; Using R as a Simulation Platform [Soetaert & Herman 2009] {470C391B}.pdf 14.6 MB
R/1420063677 R Programming for Bioinformatics [Gentleman 2009] {F2E086DD}.pdf 1.7 MB
R/1420065211 Introduction to Probability with R [Baclawski 2008] {5E986D65}.pdf 3.9 MB
R/1420066501 Statistical Computing in C++ and R [Eubank & Kupresanin 2011] {7D1E9071}.pdf 4.1 MB
R/1420068725 Introduction to Scientific Programming and Simulation using R [Jones, Maillardet & Robinson 2009] {3FDF9745}.pdf 7.7 MB
R/1420079336 A Handbook of Statistical Analyses using R (2nd ed.) [Everitt & Hothorn 2010] {E8A4BA87}.pdf 4.3 MB
R/1420086782 Computational Statistics; An Introduction to R [Sawitzki 2009] {BBB7756B}.pdf 4.4 MB
R/1420088262 Introduction to Data Analysis with R for Forensic Scientists [Curran 2011] {EC0B1F1F}.pdf 12.8 MB
R/1430245549 Beginning R; An Introduction to Statistical Programming [Pace 2012] {6C1AC65A}.pdf 8.3 MB
R/1430258063 Pro Data Visualization using R and JavaScript [Barker 2013] {A23C6920}.pdf 3.2 MB
R/1430266406 R Quick Syntax Reference; A Quick, Handy Guide to using R [Tollefson 2014] {B6E3403C}.pdf 1.8 MB
R/1439809755 Statistics and Data Analysis for Microarrays using R and Bioconductor (2nd ed.) [Drǎghici 2012] {A37BC948}.pdf 130.8 MB
R/1439810184 Data Mining with R; Learning with Case Studies [Torgo 2011] {70FFABA2}.pdf 2.2 MB
R/1439813264 Multivariate Generalized Linear Mixed Models using R [Berridge & Crouchley 2011] {201A76B0}.pdf 3.4 MB
R/1439816972 Optimal Experimental Design with R [Rasch, Pilz, Verdooren & Gebhardt 2011] {4D7B2BD9}.pdf 5.3 MB
R/1439817669 Analysis of Questionnaire Data with R [Falissard 2012] {CCD80D26}.pdf 4.5 MB
R/1439827559 Using R for Data Management, Statistical Analysis, and Graphics [Horton & Kleinman 2011] {419D1FCC}.pdf 5.3 MB
R/1439831645 Event History Analysis with R [Broström 2012] {FA49C60E}.pdf 2.5 MB
R/1439831769 R Graphics (2nd ed.) [Murrell 2012] {5B7218CD}.pdf 8.6 MB
R/1439835802 Exploratory Multivariate Analysis by Example using R [Husson, Lê & Pagès 2011] {6E46F3ED}.pdf 9.3 MB
R/1439840202 Clinical Trial Data Analysis using R [Chen & Peace 2011] {81FABA6C}.pdf 4.7 MB
R/1439855676 Analysis of Categorical Data with R [Bilder & Loughin 2015] {EB8A0BE8}.pdf 4.6 MB
R/1439856826 Programming Graphical User Interfaces in R [Lawrence & Verzani 2012] {DB5DAF16}.pdf 4.1 MB
R/143986084X Practical Graph Mining with R [Samatova, Hendrix, Jenkins, Padmanabhan & Chakraborty 2014] {A362B0C1}.pdf 22.6 MB
R/1439862060 The R Primer [Ekstrøm 2012] {67580E55}.pdf 2.6 MB
R/1439872864 Joint Models for Longitudinal.and Time-to-Event Data with Applications in R [Rizopoulos 2012] {A78DC4EA}.pdf 3.1 MB
R/1439873380 Foundational and Applied Statistics for Biologists using R [Aho 2014] {5D06D9FD}.pdf 9.1 MB
R/1439873437, 0367739720 Nonparametric Statistical Methods using R [Kloke & McKean 2015] {34D0E287}.pdf 2 MB
R/1439875405 The R Student Companion [Dennis 2013] {2077C7E8}.pdf 2.3 MB
R/1439878854 Foundations of Statistical Algorithms; with References to R Packages [Weihs, Mersmann & Ligges 2014] {D0FD3F25}.pdf 3.7 MB
R/143988448X Using R for Numerical Analysis in Science and Engineering [Bloomfield 2014] {F086B95F}.pdf 5.8 MB
R/1439887330 Linear Models with R (2nd ed.) [Faraway 2015] {8CD029E9}.pdf 1.7 MB
R/1439895473 Statistics in Engineering; with Examples in MATLAB and R (2nd ed.) [Metcalfe et al. 2019] {4F01754D}.pdf 15.4 MB
R/1441900519 R through Excel; A Spreadsheet Interface for Statistics, Data Analysis, and Graphics [Heiberger & Neuwirth 2009] {0F45C142}.pdf 21.2 MB
R/1441913173 R for Stata Users [Muenchen & Hilbe 2010] {5CC2C7E9}.pdf 4.1 MB
R/1441915753 Introducing Monte Carlo Methods with R [Robert & Casella 2010] {3676B65D}.pdf 8.6 MB
R/1441917632 Advances in Social Science Research using R [Vinod 2010] {46914A03}.pdf 7.4 MB
R/1441977619 Forest Analytics with R; An Introduction [Robinson & Hamann 2011] {68401D8D}.pdf 3.3 MB
R/144197864X Time Series Analysis and its Applications; with R Examples (3rd ed.) [Shumway & Stoffer 2011] {C4E6FD76}.pdf 10.9 MB
R/1441979751 Numerical Ecology with R [Borcard, Gillet & Legendre 2011] {D8A0AA3F}.pdf 5.8 MB
R/1441996494 An Introduction to Applied Multivariate Analysis with R [Everitt & Hothorn 2011] {0FF497CE}.pdf 5.2 MB
R/1441998896 Data Mining with Rattle and R; The Art of Excavating Data for Knowledge Discovery [Williams 2011] {A84F6CFC}.pdf 10.9 MB
R/1442218460, 1442218479 Basic Statistics; An Introduction with R [Raykov & Marcoulides 2012] {A95DC706}.pdf 2 MB
R/1444335243, 1405190086 Biostatistical Design and Analysis using R; A Practical Guide [Logan 2010] {AD0DF762}.pdf 3.6 MB
R/1446200469, 1446200450 Discovering Statistics using R [Field, Miles & Field 2012] {49C1B7BA}.pdf 20.6 MB
R/1447149491 Introduction to Image Processing using R; Learning by Examples [Frery & Perciano 2013] {783FB0F3}.pdf 3.2 MB
R/1447153278 Guide to Programming and Algorithms using R [Ergül 2013] {503334D3}.pdf 2.7 MB
R/1449303234 25 Recipes for Getting Started with R; Excerpts from the R Cookbook [Teetor 2011] {70C662C9}.pdf 1.1 MB
R/1449303536 Data Mashups in R; A Case Study in Real-World Data Analysis [Leipzig & Li 2011] {08AAC674}.pdf 4.8 MB
R/1449309038 Getting Started with RStudio; An Integrated Development Environment for R [Verzani 2011] {491C8B7B}.pdf 7.8 MB
R/1449309925 Parallel R; Data Analysis in the Distributed World [McCallum & Weston 2012] {07C2910A}.pdf 5.6 MB
R/144931208X R in a Nutshell; A Desktop Quick Reference (2nd ed.) [Adler 2012] {E510CA6E}.pdf 8.9 MB
R/1449315151 Exploring Everyday Things with R and Ruby; Discover the World Around You through Programming [Chang 2012] {D7CDAC94}.pdf 12.2 MB
R/1449316956 R Graphics Cookbook; Practical Recipes for Visualizing Data [Chang 2013] {C2902389}.pdf 28.2 MB
R/1449357105 Learning R; A Step-by-Step Function Guide to Data Analysis [Cotton 2013] {9E43D427}.pdf 13.5 MB
R/1449359019 Hands-On Programming with R; Write Your Own Functions and Simulations [Grolemund 2014] {BDD607BF}.pdf 7 MB
R/1461406846 R for SAS and SPSS Users (2nd ed.) [Muenchen 2011] {D2B507A0}.pdf 7 MB
R/146141301X Biostatistics with R; An Introduction to Statistics through Biological Data [Shahbaba 2012] {EAA4872D}.pdf 4.9 MB
R/1461413648 R by Example [Albert & Rizzo 2012] {4BB95F30}.pdf 2.6 MB
R/1461417422 Analysis of Phylogenetics and Evolution with R (2nd ed.) [Paradis 2012] {4AF5833B}.pdf 2.4 MB
R/1461420342 Competing Risks and Multistate Models with R [Beyersmann, Schumacher & Allignol 2012] {71C67393}.pdf 2.1 MB
R/1461422981 Graphical Models with R [Højsgaard, Edwards & Lauritzen 2012] {49774799}.pdf 3.3 MB
R/1461431212 Multivariate Methods of Representing Relations in R for Prioritization Purposes [Myers & Patil 2012] {46CB0A7D}.pdf 3.6 MB
R/1461438993 Linear Mixed-Effects Models using R; A Step-by-Step Approach [Gałecki & Burzykowski 2013] {83D3A7CC}.pdf 11.3 MB
R/1461443423 R for Business Analytics [Ohri 2012] {2208AC79}.pdf 13.4 MB
R/1461456959 Applied Bayesian Statistics; with R and OpenBUGS Examples [Cowles 2013] {6D403C8F}.pdf 4.4 MB
R/1461462266 Understanding Statistics using R [Schumacker & Tomek 2013] {1CCFCEF8}.pdf 2.9 MB
R/1461464455 Bayesian Networks in R; with Applications in Systems Biology [Nagarajan, Scutari & Lèbre 2013] {12BAA491}.pdf 2.1 MB
R/1461468671 Seamless R and C++ Integration with Rcpp [Eddelbuettel 2013] {3F6576C0}.pdf 3.4 MB
R/1461471370 An Introduction to Statistical Learning; with Applications in R [James, Witten, Hastie & Tibshirani 2015] {A6566730}.pdf 10 MB
R/1461478995 XML and Web Technologies for Data Sciences with R [Nolan & Lang 2014] {7AE9BD48}.pdf 14.2 MB
R/1461484553 EnvStats; An R Package for Environmental Statistics [Millard 2013] {5EA359E8}.pdf 4.3 MB
R/1461486866 Bayesian Essentials with R (2nd ed.) [Marin & Robert 2014] {6B221370}.pdf 7.4 MB
R/1461487870 Statistical Analysis of Financial Data in R (2nd ed.) [Carmona 2014] {DBF51521}.pdf 11.3 MB
R/1461490197 The R Software; Fundamentals of Programming and Statistical Analysis [de Micheaux, Drouilhet & Liquet 2013] {18CFC210}.pdf 10.4 MB
R/1461495415 Functional and Phylogenetic Ecology in R [Swenson 2014] {2609668F}.pdf 5 MB
R/1462530265, 1462530273 Reasoning with Data; An Introduction to Traditional and Bayesian Methods using R [Stanton 2017] {02B9DC20}.pdf 6.2 MB
R/1466503963, 1138416517 Customer and Business Analytics; Applied Data Mining for Business Decision Making using R [Putler & Krider 2012] {D48E2603}.pdf 7.4 MB
R/1466505990 Applied Meta-Analysis with R [Chen & Peace 2013] {5032D3D4}.pdf 1.8 MB
R/1466515856 Multilevel Modeling using R [Finch, Bolin & Kelley 2014] {4CF113F2}.pdf 3.2 MB
R/1466517158 Analyzing Spatial Models of Choice and Judgment with R [Armstrong et al. 2014] {55C96F68}.pdf 2.6 MB
R/1466565209 Displaying Time Series, Spatial, and Space-Time Data with R [Lamigueiro 2014] {D7399C95}.pdf 29.2 MB
R/1466565721 Analyzing Sensory Data with R [Lê & Worch 2015] {D068A074}.pdf 4.1 MB
R/1466568321 Statistical Studies of Income, Poverty and Inequality in Europe; Computing and Graphics in R using EU-SILC [Longford 2015] {BC580005}.pdf 3.4 MB
R/1466568380 R and MATLAB [Hiebeler 2015] {FA0BBA4E}.pdf 12.1 MB
R/1466568496 Statistical Analysis of Questionnaires; A Unified Approach Based on R and Stata [Bartolucci, Bacci & Gnaldi 2016] {0014B09A}.pdf 8.1 MB
R/1466569999 Introduction to Scientific Programming and Simulation using R (2nd ed.) [Jones, Maillardet & Robinson 2014] {6D816E9A}.pdf 8.3 MB
R/1466570229 Analyzing Baseball Data with R [Marchi & Albert 2014] {34092D88}.pdf 3.7 MB
R/1466572841 Reproducible Research with R and RStudio [Gandrud 2014] {1155E73D}.pdf 5.3 MB
R/1466584491 SAS and R; Data Management, Statistical Analysis, and Graphics (2nd ed.) [Kleinman & Horton 2014] {BE9F9064}.pdf 6.1 MB
R/1466586966, 1138469327 Advanced R [Wickham 2015] {66E9C124}.pdf 2.7 MB
R/1466587016 Parallel Computing for Data Science; with Examples in R, C++ and CUDA (2nd ed.) [Matloff 2016] {FAFC9377}.pdf 1.9 MB
R/1466590734 Using R for Introductory Statistics (2nd ed.) [Verzani 2014] {75D00810}.pdf 9.3 MB
R/1466592591 Computational Actuarial Science with R [Charpentier 2015] {B96D87E2}.pdf 15 MB
R/1482203537 Dynamic Documents with R and knitr [Xie 2014] {821CF7BF}.pdf 3.1 MB
R/1482225581 Bayesian Networks; with Examples in R [Scutari & Denis 2015] {598AB2F8}.pdf 2 MB
R/1482234815 Data Science in R; A Case Studies Approach to Computational Reasoning and Problem Solving [Nolan & Lang 2015] {22E6FB3C}.pdf 15.9 MB
R/1482235226 Introductory Fisheries Analyses with R [Ogle 2016] {BF374F2E}.pdf 7.7 MB
R/1482237369 Using R and RStudio for Data Management, Statistical Analysis, and Graphics (2nd ed.) [Horton & Kleinman 2015] {CD16588B}.pdf 4.3 MB
R/1482253445 Statistical Rethinking; A Bayesian Course with Examples in R and Stan [McElreath 2016] {7CD3AF7F}.pdf 11.1 MB
R/1482253836 Hidden Markov Models for Time Series; An Introduction using R (2nd ed.) [Zucchini, MacDonald & Langrock 2016] {DF13F776}.pdf 46.2 MB
R/1484201310 R Recipes; A Problem-Solution Approach [Pace 2014] {A20EC4A1}.pdf 5.9 MB
R/148420140X Using R for Statistics [Stowell 2014] {6A60BCAC}.pdf 7 MB
R/1484203747 Beginning R; An Introduction to Statistical Programming (2nd ed.) [Wiley & Pace 2015] {CDCACC13}.pdf 11.2 MB
R/1484210026 Learn Business Analytics in Six Steps using SAS and R [Tripathi 2016] {FF1A4D4D}.pdf 8.5 MB
R/1484220765 Advanced R; Data Programming and the Cloud [Wiley & Wiley 2016] {52E1DA0F}.pdf 11.6 MB
R/148422177X Automated Trading with R; Quantitative Research and Platform Development [Conlan 2016] {79EE6984}.pdf 6.7 MB
R/1484222970 Beginning SQL Server R Services; Analytics for Data Scientists [Beard 2016] {13E9798C}.pdf 21.2 MB
R/1484223330 Machine Learning using R; A Comprehensive Guide to Machine Learning [Ramasubramanian & Singh 2017] {1A5C68EF}.pdf 11.5 MB
R/1484226135 Data Science using Oracle Data Miner and Oracle R Enterprise [Das 2016] {1BF0B8FC}.pdf 13 MB
R/1484226704 Beginning Data Science in R; Data Analysis, Visualization, and Modelling for the Data Scientist [Mailund 2017] {EB0D59B9}.pdf 6.5 MB
R/1484227336 Introduction to Deep Learning using R; A Step-by-Step Guide to Learning and Implementing Deep Learning Models in R [Beysolow 2017] {146E7575}.pdf 7.1 MB
R/148422745X Functional Programming in R; Advanced Statistical Programming for Data Science, Analysis and Finance [Mailund 2017] {9126B0D7}.pdf 991 KB
R/1484228804 Metaprogramming in R; Advanced Statistical Programming for Data Science, Analysis and Finance [Mailund 2017] {0AB8C4A1}.pdf 862 KB
R/1484229185 Advanced Object-Oriented Programming in R; Statistical Programming for Data Science, Analysis and Finance [Mailund 2017] {59B231FD}.pdf 1.1 MB
R/1484231430 Functional Data Structures in R; Advanced Statistical Programming in R [Mailund 2017] {C75710EE}.pdf 4 MB
R/1484234944 Business Case Analysis with R; Simulation Tutorials to Support Complex Business Decisions [Brown 2018] {58EDA2D3}.pdf 7 MB
R/148423524X Applied Analytics through Case Studies using SAS and R; Implementing Predictive Models and Machine Learning Techniques [Gupta 2018] {CC2427CB}.pdf 8 MB
R/1484235630 Pro Machine Learning Algorithms; A Hands-On Approach to Implementing Algorithms in Python and R [Ayyadevara 2018] {42F8A4FA}.pdf 22.2 MB
R/1484235878 Domain-Specific Languages in R; Advanced Statistical Programming [Mailund 2018] {AC5CDD3C}.pdf 2.4 MB
R/1484241991 Learn R for Applied Statistics; with Data Visualizations, Regressions, and Statistics [Hui 2019] {1078DA72}.pdf 6.8 MB
R/1484258282 Advanced Analytics in Power BI with R and Python; Ingesting, Transforming, Visualizing [Wade 2020] {AD20A3AC}.pdf 6.9 MB
R/1484259459 Practical R 4; Apply R to Data Manipulation, Processing and Integration [Westfall 2020] {BC8BEE36}.pdf 21.6 MB
R/1484259726 Advanced R 4 Data Programming and the Cloud; Using PostgreSQL, AWS, and Shiny (2nd ed.) [Wiley & Wiley 2020] {5B0B311F}.pdf 7.3 MB
R/1484272013 Pro Data Visualization using R and JavaScript (2nd ed.) [Barker & Westfall 2022] {946F002C}.pdf 11.2 MB
R/1484279239 R 4 Quick Syntax Reference; A Pocket Guide to the Language, API's and Library (3rd ed.) [Tollefson 2022] {84923CFA}.pdf 4.5 MB
R/1490433546 Visualizing Complex Data using R [Lewis 2013] {A2D13315}.pdf 4 MB
R/1491910399 R for Data Science; Import, Tidy, Transform, Visualize, and Model Data [Wickham & Grolemund 2017] {1F4A6C94}.pdf 32.3 MB
R/1491910593 R Packages; Organize, Test, Document and Share Your Code [Wickham 2015] {3B39A6BA}.pdf 4.6 MB
R/1491919590 Data Science in the Cloud; with Microsoft Azure Machine Learning and R [Elston 2015] {27574E1B}.pdf 1.8 MB
R/1491922613 Graphing Data with R; An Introduction [Hilfiger 2016] {189C82D2}.pdf 16.9 MB
R/1491950781 Efficient R Programming; A Practical Guide to Smarter Programming [Gillespie & Lovelace 2017] {00D1CC22}.pdf 3 MB
R/1491976446 introduction to Machine Learning with R; Rigorous Mathematical Modeling [Burger 2018] {266CF953}.pdf 5.1 MB
R/1491981652 Text Mining with R; A Tidy Approach [Silge & Robinson 2017] {08767D79}.pdf 9.7 MB
R/1492040681 R Cookbook; Proven Recipes for Data Analysis, Statistics & Graphics (2nd ed.) [Long & Teetor 2019] {51A68D7B}.pdf 12.5 MB
R/1492047384 Mastering Shiny; Build Interactive Apps, Reports & Dashboards Powered by R [Wickham 2021] {789C0927}.pdf 12.2 MB
R/1492061379 Behavioral Data Analysis with R & Python; Customer-Driven Data for Real Business Results [Buisson 2021] {EA82CDBD}.pdf 12.6 MB
R/149207294X Practical Statistics for Data Scientists; 50+ Essential Concepts using R and Python (2nd ed.) [Bruce, Bruce & Gedeck 2020] {CD30ABCD}.pdf 14.7 MB
R/1492093408 Python and R for the Modern Data Scientist; The Best of Both Worlds [Scavetta & Angelov 2021] {E6AE036E}.pdf 18.2 MB
R/149209434X Advancing into Analytics; From Excel to Python and R [Mount 2021] {1F110946}.pdf 9.5 MB
R/1493909827 Statistical Analysis of Network Data with R [Kolaczyk & Csárdi 2014] {6A9C2340}.pdf 5 MB
R/1493917013 R for Cloud Computing; An Approach for Data Scientists [Ohri 2014] {2E80CB30}.pdf 14 MB
R/1493921215 Statistical Analysis and Data Display; An Intermediate Course with Examples in R (2nd ed.) [Heiberger & Holland 2015] {1C466E9F}.pdf 18.4 MB
R/1493926136 Statistics and Data Analysis for Financial Engineering; with R Examples (2nd ed.) [Ruppert & Matteson 2015] {F23C8402}.pdf 11.7 MB
R/1498701272 Statistics in Toxicology using R [Hothorn 2016] {E5E056A3}.pdf 64.5 MB
R/1498712363 Basics of Matrix Algebra for Statistics with R [Fieller 2016] {93197BE6}.pdf 2.8 MB
R/1498715370 Reproducible Research with R and RStudio (2nd ed.) [Gandrud 2015] {519EAD00}.pdf 2.9 MB
R/1498716962 Dynamic Documents with R and knitr (2nd ed.) [Xie 2015] {9908D6E4}.pdf 6.6 MB
R/1498736815 R for Programmers; Mastering the Tools [Zhang 2016] {24770A1D}.pdf 12.8 MB
R/1498736874, 1138627186 R for Programmers; Advanced Techniques [Zhang 2017] {8B101093}.pdf 42.7 MB
R/1498736890 R for Programmers; Quantitative Investment Applications [Zhang 2018] {94A43C11}.pdf 17.6 MB
R/1498741908 Using the R Commander; A Point-and-Click Interface for R [Fox 2017] {DBEF4D75}.pdf 23.7 MB
R/1498766099 R Programming and Its Applications in Financial Mathematics [Ohsaki, Ruppert-Felsot & Yoshikawa 2018] {69EC3451}.pdf 2.4 MB
R/1498772552, 1138631973 The R Primer (2nd ed.) [Ekstrøm 2016] {52FF4D1C}.pdf 22.3 MB
R/1498775675 Data Analysis for the Life Sciences with R [Irizarry & Love 2017] {2AC95787}.pdf 132.1 MB
R/151751679X 92 Applied Predictive Modeling Techniques in R [Lewis 2015] {4C7BA0E9}.pdf 15 MB
R/1519101236 Build Your Own Neural Network Today (R) [Lewis 2015] {8E81469B}.pdf 3 MB
R/1519514212 Deep Learning Made Easy with R; A Gentle Introduction For Data Science [Lewis 2016] {5739EBF3}.pdf 5.5 MB
R/1523459735 Learning from Data Made Easy with R; A Gentle Introduction for Data Science [Lewis 2016] {7E1BDF07}.pdf 1.8 MB
R/1534798161 Scientific Software R; Programming Language and Applications [2016] {D8AC2077}.pdf 6.5 MB
R/1546483756 Machine Learning Made Easy with R; An Intuitive Step by Step Blueprint for Beginners [Lewis 2017] {EB399734}.pdf 8.4 MB
R/1584880872 Graphics for Statistics and Data Analysis with R [Keen 2010] {7AC01F81}.pdf 3.9 MB
R/158488424X Extending the Linear Model with R; Generalized Linear, Mixed Effects and Nonparametric Regression Models [Faraway 2006] {A6547210}.pdf 3.3 MB
R/1584884258 Linear Models with R [Faraway 2005] {FB62F578}.pdf 5.8 MB
R/1584884509 Using R for Introductory Statistics [Verzani 2005] {6E9D315C}.pdf 3 MB
R/158488486X R Graphics [Murrell 2006] {A39F2EF7}.pdf 2.7 MB
R/1584885289 Correspondence Analysis and Data Coding with Java and R [Murtagh 2005] {FA24708D}.pdf 1.7 MB
R/1584885459 Statistical Computing with R [Rizzo 2008] {0678450B}.pdf 3.7 MB
R/1584885734 Hidden Markov Models for Time Series; An Introduction using R [Zucchini & MacDonald 2009] {767DADA0}.pdf 2.6 MB
R/1584885742 Multiple Comparisons using R [Bretz, Hothorn & Westfall 2011] {1C87AB9B}.pdf 4 MB
R/1584886196 Analysis of Correlated Data with SAS and R (3rd ed.) [Shoukri & Chaudhary 2007] {D94685B6}.pdf 1.5 MB
R/1584887117 Handbook of Fitting Statistical Distributions with R [Karian & Dudewicz 2011] {84CB10BD}.pdf 36.4 MB
R/1584888911 Probability and Statistics with R [Ugarte, Militino & Arnholt 2008] {6CA8128C}.pdf 11.1 MB
R/1584889624 Adaptive Design Theory and Implementation using SAS and R [Chang 2008] {BDAD24EC}.pdf 3.2 MB
R/1593273843 The Art of R Programming; A Tour of Statistical Software Design [Matloff 2011] {0B5BF46C}.pdf 4.5 MB
R/1593276516 The Book of R; A First Course in Programming and Statistics [Davies 2016] {1716DBB0}.pdf 14.8 MB
R/1617291382 R in Action; Data Analysis and Graphics with R (2nd ed.) [Kabacoff 2015] {C889DBAC}.pdf 9.5 MB
R/1617291560 Practical Data Science with R [Zumel & Mount 2014] {FFF56758}.pdf 20.3 MB
R/161729554X Deep Learning with R [Chollet & Allaire 2018] {7DFE0D62}.pdf 19.6 MB
R/1617295876 Practical Data Science with R (2nd ed.) [Zumel & Mount 2020] {754CD157}.pdf 13.1 MB
R/1617296570 Machine Learning with R, tidyverse, and mlr [Rhys 2019] (draft) {91CF91C0}.pdf 20.7 MB
R/1634620968 Machine Learning and Data Science; An Introduction to Statistical Learning Methods with R [Gutierrez 2015] {2940BE56}.pdf 5.8 MB
R/168318016X Comparative Approaches to using R and Python for Statistical Data Analysis [Sarmento & Costa 2017] {EA964D07}.pdf 5.2 MB
R/1683925831 Data Science Tools; R, Excel, KNIME, OpenOffice [Greco 2020] {7ADD96B9}.pdf 31.3 MB
R/1782160604 Learning RStudio for R Statistical Computing [van der Loo & de Jonge 2012] {2DCDB015}.pdf 10.4 MB
R/1782162143 Machine Learning with R [Lantz 2013] {994FD325}.pdf 5.4 MB
R/178216328X Big Data Analytics with R and Hadoop [Prajapati 2013] {1F788790}.pdf 3 MB
R/1782163506 Instant R Starter [Teutonico 2013] {5331D641}.pdf 1022 KB
R/1782169350 Learning Predictive Analytics with R [Mayor 2015] {A6F618CB}.pdf 3.4 MB
R/178328093X Introduction to R for Quantitative Finance [Daróczi et al. 2013] {AF1CEF28}.pdf 4.1 MB
R/178328109X Data Manipulation with R [Abedin 2014] {EE8098CC}.pdf 7.2 MB
R/1783281774 Social Media Mining with R [Danneman & Heimann 2014] {43AE4C6F}.pdf 3.8 MB
R/1783283130 Bioinformatics with R Cookbook [Sinha 2014] {9E4DAFDD}.pdf 29.6 MB
R/1783284471 Web Application Development with R using Shiny [Beeley 2013] {C1D4EB72}.pdf 8.5 MB
R/178355181X Mastering Text Mining with R [Kumar & Paul 2016] {6DE86EF8}.pdf 7.6 MB
R/1783552077 Mastering R for Quantitative Finance [Berlinger et al. 2015] {08B3D14A}.pdf 3.7 MB
R/1783554398 Practical Big Data Analytics (Hadoop, Spark, NoSQL, R) [Dasgupta 2018] {3EEC79B1}.pdf 57 MB
R/1783554495 Building a Recommendation System with R [Gorakala & Usuelli 2015] {0E3F2833}.pdf 1.9 MB
R/178355455X R Graph Essentials [Lillis 2014] {CA3A9313}.pdf 5.2 MB
R/1783555254 Mastering Scientific Computing with R [Gerrard & Johnson 2015] {A595C746}.pdf 4 MB
R/1783980249 Practical Data Science Cookbook (R, Python) [Ojeda, Murphy, Bengfort & Dasgupta 2014] {75DB13C3}.pdf 5.2 MB
R/1783982020 Mastering Data Analysis with R [Daróczi 2015] {D783647E}.pdf 7.2 MB
R/1783982047 Machine Learning with R Cookbook [Chiu 2015] {605BEFFE}.pdf 11.7 MB
R/1783982101 Learning Data Mining with R [Makhabel 2015] {A7819418}.pdf 6.5 MB
R/1783982543 Mastering RStudio; Develop, Communicate, and Collaborate with R [Hillebrand & Nierhoff 2015] {23BDE700}.pdf 19 MB
R/1783982802 Mastering Predictive Analytics with R [Forte 2015] {1891F001}.pdf 5.9 MB
R/1783984368 Learning R for Geospatial Analysis [Dorman 2014] {7A1CAAEB}.pdf 9.7 MB
R/178398452X Mastering Machine Learning with R [Lesmeister 2015] {9B60AC3B}.pdf 4.3 MB
R/1783986689 R Object-Oriented Programming [Black 2014] {D2DC0B60}.pdf 1.4 MB
R/178398760X Learning Bayesian Models with R [Koduvely 2015] {D5A7F2F0}.pdf 1.2 MB
R/178398774X R Machine Learning Essentials [Usuelli 2014] {20657AA8}.pdf 2.8 MB
R/1783988789 R Graphs Cookbook (2nd ed.) [Abedin & Mittal 2014] {3ED2FCF4}.pdf 12.3 MB
R/1783989068 R Data Analysis Cookbook [Viswanathan & Viswanathan 2015] {8DAAE712}.pdf 4.8 MB
R/1783989262 R High Performance Programming [Lim & Tjhi 2015] {21DA0877}.pdf 1.7 MB
R/1783989505 R Data Visualization Cookbook [Gohil 2015] {518838D7}.pdf 3.5 MB
R/1783989688 R Data Mining Blueprints [Mishra 2016] {83744B3B}.pdf 9 MB
R/1784390844 R Machine Learning by Example [Bali & Sarkar 2016] {9A330DD2}.pdf 8.6 MB
R/1784390860 R for Data Science [Toomey 2014] {C5D7246D}.pdf 2.8 MB
R/1784391034 RStudio for R Statistical Computing Cookbook [Cirillo 2016] {6B77F497}.pdf 7.6 MB
R/1784392057 Learning Probabilistic Graphical Models in R [Bellot 2016] {C09E4894}.pdf 3.8 MB
R/1784393908 Machine Learning with R (2nd ed.) [Lantz 2015] {B7EA1AB1}.pdf 10.7 MB
R/1784394009 Mastering Parallel Programming with R [Chapple, Troup, Forster & Sloan 2016] {E426EBCD}.pdf 4.1 MB
R/1784396311 Mastering Social Media Mining with R [Ravindran & Garg 2015] {131190E1}.pdf 5.9 MB
R/1785280511 Practical Machine Learning Cookbook (R) [Tripathi 2017] {297193B0}.pdf 16.3 MB
R/1785280589 R Deep Learning Essentials [Wiley 2016] {C6105378}.pdf 2.2 MB
R/1785283529 ggplot2 Essentials (R) [Teutonico 2015] {47653808}.pdf 3.3 MB
R/1785288148 Data Analysis with R [Fischetti 2015] {F36092DC}.pdf 4.9 MB
R/1785288814 Data Manipulation with R (2nd ed.) [Abedin & Das 2015] {BB07F19D}.pdf 1.2 MB
R/1785887092 Unsupervised Learning with R [Pacheco 2015] {BFF868D6}.pdf 5.2 MB
R/178588977X Learning R Programming [Ren 2016] {97A31024}.pdf 9.3 MB
R/1786463504 R; Data Analysis and Visualization [Fischetti, Lantz, Abedin, Mittal & Makhabel 2016] {BB1D5761}.pdf 77 MB
R/1786465159 R Data Structures and Algorithms [Prakash & Rao 2016] {1DBC5B06}.pdf 5.3 MB
R/1787121089 R Deep Learning Cookbook [Prakash & Rao 2017] {261E03B8}.pdf 9.6 MB
R/1787121399 Mastering Predictive Analytics with R (2nd ed.) [Miller & Forte 2017] {8AE762C0}.pdf 32.7 MB
R/1787124460 R Data Mining [Cirillo 2017] {82B7CD20}.pdf 15.2 MB
R/1787127346 R; Unleash Machine Learning Techniques [Bali, Sarkar, Lantz & Lesmeister 2016] {0A4E1BD0}.pdf 25.8 MB
R/1787129055 Modern R Programming Cookbook [Abedin 2017] {07E26370}.pdf 4.3 MB
R/1787129624 Practical Data Science Cookbook (R, Python) (2nd ed.) [Tattar, Ojeda, Murphy, Bengfort & Dasgupta 2017] {966A718A}.pdf 14.2 MB
R/1787284395 Machine Learning with R Cookbook (2nd ed.) [Bhatia, Chiu 2017] {DF58635B}.pdf 11.7 MB
R/1787287475 Mastering Machine Learning with R (2nd ed.) [Lesmeister 2017] {72D815DC}.pdf 12.3 MB
R/1788292545 R Programming by Example [Navarro 2017] {363F10F7}.pdf 3.9 MB
R/1788293746 R; Mining Spatial, Text, Web, and Social Media Data [Makhabel, Mishra, Danneman & Heimann 2016] {5786357D}.pdf 22.1 MB
R/1788295757 Statistics for Machine Learning (Python, R) [Dangeti 2017] {E53F3D14}.pdf 16.5 MB
R/1788295862 Machine Learning with R; Expert Techniques for Predictive Modeling (3rd ed.) [Lantz 2019] {255C19D2}.pdf 10.9 MB
R/1788478401 R Deep Learning Projects [Liu & Maldonado 2018] {1BCE8804}.pdf 7.2 MB
R/1788621190 Statistical Application Development with R and Python (2nd ed.) [Tattar 2017] {96E8E37F}.pdf 7.6 MB
R/1788621875 R Data Analysis Projects [Subramanian 2017] {3F1143AD}.pdf 9.5 MB
R/178862730X Regression Analysis with R [Ciaburro 2018] {39828269}.pdf 18.9 MB
R/1789805678 Deep Learning with R Cookbook [Gupta, Ansari & Sarkar 2020] {74DE2083}.pdf 14.9 MB
R/1789807948 R Machine Learning Projects [Chinnamgari 2019] {272B8171}.pdf 10.7 MB
R/1847879020, 1847879039 Modern Regression Techniques using R; A Practical Guide for Students and Researchers [Wright & London 2009] {5D0F5EDD}.pdf 2.4 MB
R/1848726996, 1848726988 Latent Variable Modeling using R; A Step-by-Step Guide [Beaujean 2014] {368F823B}.pdf 1.6 MB
R/1849512086 Statistical Analysis with R Beginner's Guide [Quick 2010] {1E30BE40}.pdf 10.3 MB
R/1849513066 R Graphs Cookbook [Mittal 2011] {9E44B8DD}.pdf 4 MB
R/1849519447 R Statistical Application Development by Example Beginner's Guide [Tattar 2013] {5FCAB131}.pdf 10.6 MB
R/1852338822 An R and S-PLUS Companion to Multivariate Analysis [Everitt 2005] {4EE36DBC}.pdf 2.2 MB
R/1935182390 R in Action; Data Analysis and Graphics with R [Kabacoff 2011] {71DD6CD0}.pdf 15.3 MB
R/3030675823 Statistical Regression Modeling with R; Longitudinal and Multi-Level Modeling [Chen & K Chen 2021] {00BC96AC}.pdf 4 MB
R/3110307286 Statistics for Linguistics with R; A Practical Introduction (2nd rev. ed.) [Gries 2013] {120D0840}.pdf 4.5 MB
R/3319031635 Text Analysis with R for Students of Literature [Jockers 2014] {34A15DD9}.pdf 2.2 MB
R/3319082620 Modern Optimization with R [Cortez 2014] {3282549B}.pdf 3 MB
R/3319083821 Multistate Analysis of Life Histories with R [Willekens 2014] {B0D4B6C8}.pdf 2.8 MB
R/3319120654 Beginning Data Science with R [Pathak 2014] {59BCACE0}.pdf 3.9 MB
R/3319140744 Analyzing Financial Data and Implementing Financial Models using R [Ang 2015] {184D07B1}.pdf 39.8 MB
R/3319140922 Applied Multivariate Statistics with R [Zelterman 2015] {02105E09}.pdf 7.2 MB
R/3319144359 R for Marketing Research and Analytics [Chapman & Feit 2015] {1096E0E2}.pdf 6.5 MB
R/331914474X Primer to Analysis of Genomic Data using R [Gondro 2015] {D2F4A6EC}.pdf 7.6 MB
R/3319205013 Production and Efficiency Analysis with R [Behr 2015] {CC9523B8}.pdf 2.7 MB
R/3319207016 Humanities Data in R; Exploring Networks, Geospatial Data, Images, and Text [Arnold & Tilton 2015] {3E14570C}.pdf 9.8 MB
R/3319214152 Meta-Analysis with R [Schwarzer, Carpenter & Rücker 2015] {1BD2E7A8}.pdf 3.9 MB
R/3319234455 Political Analysis using R [Monogan 2015] {3F551389}.pdf 3.2 MB
R/3319238825 A User's Guide to Network Analysis in R [Luke 2015] {30A66362}.pdf 5.5 MB
R/3319240447 Quality Control with R; An ISO Standards Approach [Cano, Moguerza & Corcoba 2015] {56DC79D4}.pdf 16 MB
R/3319443259 Using R for Digital Soil Mapping [Malone, Minasny & McBratney 2017] {25165AB5}.pdf 5.1 MB
R/3319455982 Data Wrangling with R [Boehmke 2016] {DFD4CD11}.pdf 7 MB
R/3319457713 Working with the American Community Survey in R; A Guide to using the acs Package [Glenn 2016] {F703EEBC}.pdf 689 KB
R/3319461605 Introduction to Statistics and Data Analysis; with Exercises, Solutions and Applications in R [Heumann & Shalabh 2016] {59AE849F}.pdf 6.4 MB
R/3319467611 An Introduction to Data Analysis using Aggregation Functions in R [James 2016] {15646E82}.pdf 4.6 MB
R/3319497502 Data Visualization with R; 100 Examples [Rahlf 2017] {D41392AB}.pdf 99.4 MB
R/3319723464 Data Science and Predictive Analytics; Biomedical and Health Applications using R [Dinov 2018] {22091069}.pdf 65.4 MB
R/3319776452 Sound Analysis and Synthesis with R [Sueur 2018] {8076B0E5}.pdf 25 MB
R/3540719717 Applied Statistics using SPSS, STATISTICA, MATLAB and R (2nd ed.) [de Sá 2007] {E0EE1598}.pdf 7 MB
R/3642178405 Chemometrics with R; Multivariate Data Analysis in the Natural Sciences and Life Sciences [Wehrens 2011] {CCF1872C}.pdf 3.8 MB
R/3642280692 Solving Differential Equations in R [Soetaert, Cash & Mazzia 2012] {5EE2848F}.pdf 5.2 MB
R/3642347487 Computational Biology; A Practical Introduction to BioData Processing and Analysis with Linux, MySQL, and R (2nd ed.) [Wünschiers 2013] {81ED8883}.pdf 7.8 MB
R/3900051127 An Introduction to R (ver. 2.14.2) [Venables & Smith 2012] {ECCA3FC6}.pdf 772 KB
R/3906041026 Basic R for Finance [Würtz, Lam, Ellis & Chalabi 2010] {98467A31}.pdf 3.3 MB
R/813222339X An Introduction to R for Quantitative Economics; Graphing, Simulating and Computing [Dayal 2015] {3FFCB502}.pdf 3.5 MB
R/9390684153 Learn Emotion Analysis with R [Majumdar 2021] {EDB73BC1}.pdf 11.5 MB
R/946239069X Computational Finance; An Introductory Course with R [Arratia 2014] {C9D78B2B}.pdf 4.8 MB
R/9798648424364 Using R for Introductory Econometrics (2nd ed.) [Heiss 2020] {EC1F99BF}.pdf 41.4 MB
R/9811008884 Examples in Parametric Inference with R [Dixit 2016] {4ADBFA21}.pdf 4 MB
R/9811068070 Machine Learning with R [Ghatak 2017] {21FCEE34}.pdf 3.3 MB
R/9811358494 Deep Learning with R [Ghatak 2019] {E60EBB4C}.pdf 5.8 MB
R/9814313688, 9814313696 Hands-On Matrix Algebra using R; Active and Motivated Learning with Applications [Vinod 2011] {C2EF7653}.pdf 2.2 MB
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