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[Pack ebooks Informatique] Langage R [EN FR]

 

[Pack ebooks Informatique] Langage R [EN FR]


[Pack ebooks Informatique] Langage R [EN FR]


R est un langage statistique très riche en fonctionnalités de traitement des données. Il permet l'extraction de données de sources variées, leur traitement et leur organisation. Plus encore, la multiplicité des systèmes de visualisation graphique et les nombreuses fonctions de modélisation statistique font de ce langage un outil statistique redoutable. Avec ce livre, les auteurs proposent une présentation de R ayant pour objectif de lever la complexité apparente de ce puissant langage et de permettre une prise en main aisée des statistiques de premier cycle. Dans la première partie du livre, le lecteur découvre de manière détaillée les fondamentaux du langage R : les variables et la syntaxe des opérations de base, les structures de données, les outils du langage pour programmer notamment les structures de contrôles, les fonctions et même la conception de packages. Dans la seconde partie, les auteurs traitent des problématiques métiers liées aux outils d'importation et d'exportation de données, d'analyse basique et de visualisation des données, aux outils de simulation et d'inférences statistiques et aux modèles statistiques classiques (ANOVA, régression linéaire, etc.). Chaque concept abordé est accompagné d'exemples pratiques commentés pour guider le lecteur dans son apprentissage du langage pour le traitement des statistiques de base. Des éléments complémentaires sont disponibles en téléchargement sur le site www.editions-eni.fr. Les chapitres du livre: Introduction à R - Types de variables et opérations R - Structure des données avec R - La programmation avec R - Importer et exporter des données avec R - Introduction à l'analyse de données - Probabilité et inférence paramétrique - Modèles statistiques classiques

Livres:
[2002]Simple R – Using R For Introductory Statistics[Verzani_J].pdf
[2006]Extending The Linear Model With R.-Generalized Linear, Mixed Effects And Nonparametric Regression Models[Faraway_J_J].pdf
[2006]R Graphics[Murrell_P].pdf
[2007]Applied Statistics Using SPSS, STATISTICA, MATLAB And R(2ndEd)[Marqués de Sá_J_P].pdf
[2007]Statistics with R[Zoonekynd_V].pdf
[2007]The R Book[Crawley_M_J].epub
[2007-2013]The R Book(1st Ed And 2nd Ed)[Crawley_M_J]
[2008][Introductory Statistics With R(2ndEd)[Dalgaard_R].pdf
[2008][Statistical Computing With R[Rizzo_M_L].pdf
[2009]A Modern Approach To Regression With R[Sheather_S_J].pdf
[2009]Introduction To Scientific Programming And Simulation Using R[Jones_O-Maillardet_R-Robinson_A].pdf
[2009]R for SAS And SPSS Users[Muenchen_R_A].pdf
[2009]R through Excel[Heiberger_R_M-Neuwirth_E].pdf
[2010]A Handbook Of Statistical Analysis Using R(2ndEd)[Everitt_B_S-Hothron_T].pdf
[2010]Introduction To Probability And Statistics Using R(1st Ed)[Kerns_G_J]
[2010]Introduction To Probability And Statistics Using R(1st Ed)[Kerns_G_J]
[2010]Introduction To Probability And Statistics Using R[Kerns_G_J(1stEd).pdf
[2010]Introduction To Probability And Statistics Using R-RCommander With IPSUR Plug-in[Chang_G_A-Kerns_G_J].pdf
[2010]Statistical Analysis With R[Quick_J_M].pdf
[2011...]Exploring data and descriptive statistics(Using R)[Torres-Reyna_O].pdf
[2011]Data Mining With Rattle And R(The Art Of Excavating Data For Knowledge Discovery)[Williams_G].pdf
[2011]Effectuez Vos Études Statistiques Avec R[Ptitlu_P].pdf
[2011]Le Logiciel R.-Maîtriser Le Langage.-Efectuer Des Analyses Statistiques[Lafayedemicheaux_P-Et Al.].pdf
[2011]Statistical Computing In C++ And R[Eubank_R_L-Kupresanin_A].pdf
[2011]The Art Of R Programming.-A Tour Of Statistical Software Design[Matloff_N]
[2011]The Art Of R Programming.-A Tour Of Statistical Software Design[Matloff_N]
[2012]Beginning R(the statitstical programming language)[Gardener_M].pdf
[2012]Beginning R.-An Introduction To Statistical Programming[Pace_L]
[2012]Beginning R.-An Introduction To Statistical Programming[Pace_L]
[2012]Beginning R.-The Statistical Programming Language[Gardener_M]
[2012]Beginning R.-The Statistical Programming Language[Gardener_M]
[2012]Discovering Statistics Using R[Field_A-Miles_J-Field_Z].epub
[2012]Discovering Statistics Using R[Field_A-Miles_J-Field_Z].pdf
[2012]R Graphics Cookbook[Chang_W].pdf
[2012]R In A Nutshell(A Desktop Quick Reference)(2nd Ed)[Adler_J]
[2012]R In A Nutshell(A Desktop Quick Reference)(2nd Ed)[Adler_J]
[2012]R Language Data Mining Introduction[Reeves_R_D].mobi
[2012]Statistics And Data Analysis For Microarrays Using R And Bioconductor(2nd Ed)[Draghici_S].pdf
[2012]Statistics For Censored Environmental Data Using Matlab And R(2nd Ed)[Helsel_D_R].pdf
[2013]Big Data Analytics With R And Hadoop[Prajapati_Vignesh].pdf
[2013]Data Mining And Business Analytics With R[Ledolter_J].pdf
[2013]Introducing To R For Quantitative Finance[Daróczi_G – Et. Al.].pdf
[2013]R And Data Mining(Examples And Case Studies)[Zhao_Y].pdf
[2013]R Graphics Cookbook(1st Ed)[Chang_W]
[2013]R Graphics Cookbook(1st Ed)[Chang_W]
[2013]R Graphics Cookbook[Chang_W].pdf
[2013]R Statistical Application Development By Example[Tattar_P_N].pdf
[2013]The R Book(2nd Ed)[Crawley_M_J].epub
[2014][Tinn-R.-Editor-Gui For R Language And Environment(2nd Ed)[Faría_J_C-Et-Al.].pdf
[2014]Basic Data Analysis For Time Series With R[Derryberry_D_R].pdf
[2014]Bayesian Essentials With R[Marin_J-M – Rober_C_P ].pdf
[2014]Beginning Data Science With R[Pathak_M_A].pdf
[2014]Bioinformatics With R Cookbook[Sinha_P_P].pdf
[2014]Displaying Time Series, Spatial, And Space-Time Data With R[Perpinan-Lamigueiro_O].pdf
[2014]Learning R For Geospatial Analysis[Dorman_R].pdf
[2014]Practical Data Science With R[Zumel_N-Mount_J].pdf
[2014]R For Everyone.- Advanced Analytics And Graphics[Lander_J_P].mobi
[2014]R Graphs Cookbook(2nd Ed)[Abedin_J - Mittal_H_V]
[2014]R Graphs Cookbook(2nd Ed)[Abedin_J - Mittal_H_V]
[2015] Learning Statistics With R.- A Tutorial For Psychology Students And Other Beginners[Navarro_D].pdf
[2015]Advanced R[Wickham_H].pdf
[2015]An Introduction to R for Spatial Analysis And Mapping[Brunsdon_C-Comber_L].epub
[2015]An Introduction To Statistical Learning(With Applications In R)[James_Garth-Witten_Daniela-[Hastie_Tibshirani_R].pdf
[2015]Analysis Of Categorical Data With R[Bilder_C_R-Loughin_T_M].pdf
[2015]Automated Data Collection With R A Practical Guide To Web Scraping And Text
Mining[Munzert_S – Rubba_C – Maissner_P - Dominic_N].pdf
[2015]Bayesian Networks With Examples In R[Scutari_M-Denis_Jb].pdf
[2015]Beginning R(An Introduccion To Statistical Programming)(2ndEd)[Wiley_J_F-Pace_L_A].pdf
[2015]Computational Actuarial Science With R[Charpentier_A].pdf
[2015]Data Manipulation With R(2ndEd)[Abedin_J-Das_K_K].pdf
[2015]Data Mining Algorithms Explained Using R[Cichosz_P].pdf
[2015]Learning data mining with R[Makhabel_B]
[2015]Learning data mining with R[Makhabel_B]
[2015]Linear Models With R(2ndEd)[Faraway_J_J].pdf
[2015]Mastering RStudio – Develop, Communicate, And Collaborate With R[Hillebrand_J - Nierhoff_M_H]
[2015]Mastering RStudio – Develop, Communicate, And Collaborate With R[Hillebrand_J - Nierhoff_M_H]
[2015]Mathematical Statistics With Applications In R(2nd Ed)[Ramachandran_K_M-Tsokos_C].pdf
[2015]R In Action.- Data Analysis And Graphics With R(2nd Ed)[Kabacoff_R_I].pdf
[2015]R In Action.-Data Analysis And Graphics With R(2nd Ed)[Kabacoff_R_I]
[2015]R In Action.-Data Analysis And Graphics With R(2nd Ed)[Kabacoff_R_I]
[2015]R Packages.-Organize, Test, Document, And Share Your Code[Wickham_H].pdf
[2015]Using R And RStudio For Data Management, Statistical Analysis, And Graphics(2nd Ed)[Horton_N_J-Kleinman_K].pdf
[2015Dynamic Documents with R and knitr(2nd ed)[Xie_Y].pdf
[2016]Automated trading with R.-Quantitative Research and platform development[Conlan_C].pdf
[2016]Basics Of Matrix Algebra For Statistics With R[Fieller_N].pdf
[2016]Ggplot2(Elegant Graphics For Data Analysis)(2ndEd)[Wickam].pdf
[2016]Learning From Data Made Easy With R[Lewis_N_D].pdf
[2016]Parallel Computing For Data Science.-With Examples In R, C++ And Cuda[Matloff_N_S].pdf
[2016]Probability And Statistics With R(2nd Ed)[Ugarte_M_D-Militino_A_F-Arnholt_A_T].pdf
[2016]R Data Mining Blueprints.-Learn About Data Mining With Real-World Datasets[Pradeepta_M]
[2016]R Data Mining Blueprints.-Learn About Data Mining With Real-World Datasets[Pradeepta_M]
[2016]The Book Of R.-A First Course In Programming And Statistics[Davies_T_M].pdf
[2017]Beginning Data Science In R[Mailund_T].pdf
[2017]Data Mining With R (Learning With Case Studies)(2ndEd)[Torgo_L].pdf
[2017]Data Mining With R.-Learning With Case Studies(2nd Ed)[Torgo_L].pdf
[2017]Data Visualisation With R.-100 Examples[Rahlf_Tu+005d.pdf
[2017]Data Visualization And Exploration With R[Pimpler_E].pdf
[2017]Deep Learning With R-MEAP[Cholle_F-Allaire_J_J].pdf
[2017]Functional Data Structures In R(Advanced Statistical Programming in R)[Mainlund_T].epub
[2017]Functional Data Structures In R(Advanced Statistical Programming in R)[Mainlund_T].pdf
[2017]R for data science[Wickham_H-Garrett_G].pdf
[2017]Statistical Application Development With R And Python(2nd Ed)[Tattar_P_N]
[2017]Statistical Application Development With R And Python(2nd Ed)[Tattar_P_N]
[2017]Statistics For Machine Learning.-Build supervised, unsupervised, and reinforcement
learning models using both Python and R[Dangeti_P].pdf
[2017]Text Mining With R A Tidy Approach[Silge_J - Robinson_D].pdf
[2017]Understanding And Applying Basic Statistical Methods Using R[Wilcox_R_R].pdf
[2017]Understanding And Applying Basic Statistical Methods Using R[Wilcox_R_R][Sols.].pdf
[2018]Applied Analytics Through Case Studies Using SAS And R[Gupta_D].pdf
[2018]Data Science With R-A step By Step Guide With Visual Illustration And Exeamples-[Oleksy_A].pdf
[2018]Domain-Specific Languages In R[Mailund_T].pdf
[2018]R for Data Analysis in easy steps - R Programming essentials[McGrath_M].epub
[2019]Advanced R Statistical Programming and Data Models(1stEd)[Wiley_M-Wiley_J_F].Pdf
[2019]An R Companion To Applied Regression(3rdEd)[Fox_J-Sanford_W].pdf
[2019]Bookdown.-Authoring Books And Technical Documents With R Markdown[Xie_Y].pdf
[2019]Learn R For Applied Statistics(With Data Visualizations, Regressions, And Statistics)[Ming_Hui_E_G].pdf
[2019]Learn Rstudio IDE[Campbell_M]
[2019]Learn Rstudio IDE[Campbell_M]
[2019]Panel Data Econometrics With R[Croissant_Y-Millo_G].pdf
[2019]Spatial Data Analysis In Ecology And Agriculture Using R[Plant_R_E].pdf


[Pack ebooks Informatique] Langage R [EN FR]

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