Wstęp do programowania i analizy danych w języku R

Allaire J.J., Xie Y., McPherson J., i in., Rmarkdown: Dynamic Documents for R, (2019), https://CRAN.R-project.org/package=rmarkdown.

Arratia A., Computational Finance: An Introductory Course with R, Atlantis Press 2014.

Auguie B., GridExtra: Miscellaneous Functions for „Grid” Graphics, (2017), https://CRAN.R-project.org/package=gridExtra.

Bache S.M., Wickham H., Magrittr: A Forward-Pipe Operator for R, (2014), https://CRAN.R-project.org/package=magrittr.

Becker R.A., Chambers J.M., Wilks A.R., The S Language – A Programming Environment for Data Analysis and Graphics, Wadsworth & Brooks/Cole, Pacific Grove, CA 1988.

Berlinger E., Illés F., i in., Mastering R for Quantitative Finance, Packt Publishing 2015.

Biecek P., Analiza danych z programem R. Modele liniowe z efektami stałymi, losowymi i mieszanymi, Wydawnictwo Naukowe PWN, Warszawa 2013.

Brandt P., MSBVAR: Markov-Switching, Bayesian, Vector Autoregression Models, (2016), https://CRAN.R-project.org/package=MSBVAR.

Chambers J.M., Programming with Data – A Guide to the S Language, Springer-Verlag, New York 1998.

Chambers J.M., Software for Data Analysis: Programming with R, Springer-Verlag, New York 2008.

Chambers J.M., Hastie T.J., Statistical Models in S, Chapman & Hall/CRC 1991.

Chang W., Cheng J., Allaire J.J., i in., Shiny: Web Application Framework for R, (2018), https://CRAN.R-project.org/package=shiny.

Cohen Y., Cohen J.Y., Statistics and Data with R: An Applied Approach Through Examples, Wiley 2008.

Crawley M.J., The R Book, 2nd Edition, Wiley 2012.

Croissant Y., Millo G., Panel Data Econometrics with R, Wiley 2018.

Cryer J.D., Chan K.-S., Time Series Analysis: With Applications in R, Springer-Verlag, New York 2008.

Dragulescu A.A., Arendt C., Xlsx: Read, Write, Format Excel 2007 and Excel 97/2000/XP/2003 Files, (2018), https://CRAN.R-project.org/package=xlsx.

Fellows I., Wordcloud: Word Clouds, (2018), https://CRAN.R-project.org/package=wordcloud.

Gatnar E., Walesiak M. (red.), Statystyczna analiza danych z wykorzystaniem programu R, Wydawnictwo Naukowe PWN, Warszawa 2009.

Gągolewski M., Programowanie w języku R: analiza danych, obliczenia, symulacje, Wydawnictwo Naukowe PWN, Warszawa 2016.

Gągolewski M., R package stringi: Character string processing facilities, (2019), http://www.gagolewski.com/software/stringi/.

Gerrard P., Johnson R.M., Mastering Scientific Computing with R, Packt Publishing 2015.

Gillespie C., Lovelace R., Efficient R Programming: A Practical Guide to Smarter Programming, O’Reilly Media 2017.

Gries S.T., Statistics for Linguistics with R: A Practical Introduction, Mouton de Gruyter 2009.

Grolemund G., Hands-On Programming with R: Write Your Own Functions And Simulations, O’Reilly Media 2014.

Kaas R., Goovaerts M., Dhaene J., Denuit M., Modern Actuarial Risk Theory: Using R, Springer-Verlag, Berlin Heidelberg 2008.

Kamiński B., Zawisza M., Receptury w R: Podręcznik dla ekonomistów, Oficyna Wydawnicza SGH, Warszawa 2012.

Kleiber C., Zeileis A., Applied Econometrics with R, New York 2008.

Kopczewska K., Kopczewski T., Wójcik P., Metody ilościowe w R. Aplikacje ekonomiczne i finansowe (wyd. II), CeDeWu.pl 2016.

Lewis P.D., R for Medicine and Biology, Jones & Bartlett Learning 2010.

Mailund T., Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance, Apress 2017.

Makhabel B., Learning Data Mining with R, Packt Publishing 2015.

Marin J.-M., Robert C., Bayesian Essentials with R, Springer-Verlag, New York 2014.

Massicotte P., Eddelbuettel D., GtrendsR: Perform and Display Google Trends Queries, (2018), https://CRAN.R-project.org/package=gtrendsR.

Munzert S., Rubba C., Meißner P., Nyhuis D., Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining, Wiley 2015.

Müller K., Wickham H., Tibble: Simple Data Frames, (2019), https://CRAN.R-project.org/package=tibble.

Neuwirth E., RColorBrewer: ColorBrewer Palettes, (2014), https://CRAN.R-project.org/package=RColorBrewer.

Oehlschlägel J., Bit: A Class for Vectors of 1-Bit Booleans, (2020), https://CRAN.R-project.org/package=bit.

Ooms J., The jsonlite Package: A Practical and Consistent Mapping Between JSON Data and R Objects, „arXiv:1403.2805 [stat.CO]” (2014), https://arxiv.org/abs/1403.2805.

Pace L., Beginning R: An Introduction to Statistical Programming, Apress 2012.

Plummer M., Best N., Cowles K., Vines K., CODA: Convergence Diagnosis and Output Analysis for MCMC, „R News” t. 6, nr 1 (2006), https://journal.r-project.org/archive/.

R Core Team, R: A Language and Environment for Statistical Computing, (2014), http://www.R-project.org/.

Ren K., Learning R Programming, Packt Publishing 2016.

Robert C., Casella G., Introducing Monte Carlo Methods with R, Springer-Verlag, New York 2010.

Rubaszek M., Modelowanie polskiej gospodarki z pakietem R, Oficyna Wydawnicza SGH, Warszawa 2012.

Schumacker R., Tomek S., Understanding Statistics Using R, SpringerVerlag, New York 2013.

Sievert C., Interactive Web-Based Data Visualization with R, plotly, and shiny, CRC Press 2020.

Sievert C., Plotly for R, (2018), https://plotly-r.com.

Silge J., Robinson D., Tidytext: Text Mining and Analysis Using Tidy Data Principles in R, „Journal of Open Source Software” t. 1, nr 3 (2016), DOI: 10.21105/joss.00037.

Spector P., Data Manipulation with R, Springer-Verlag, New York 2008.

Suess E.A., Trumbo B.E., Introduction to Probability Simulation and Gibbs Sampling with R, Springer-Verlag, New York 2010.

Teetor P., R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics, O’Reilly Media 2011.

Tsay R.S., An Introduction to Analysis of Financial Data with R, Wiley 2012.

Ugarte M.D., Militino A.F., Arnholt A.T., Probability and Statistics with R, Chapman & Hall/CRC 2015.

Verzani J., Using R for Introductory Statistics, Chapman & Hall/CRC 2014.

Wickham H., Ggplot2 – Elegant Graphics for Data Analysis, Springer International Publishing 2016.

Wickham H., Reshaping Data with the reshape Package, „Journal of Statistical Software” t. 21, nr 12 (2007), http://www.jstatsoft.org/v21/i12/.

Wickham H., Rvest: Easily Harvest (Scrape) Web Pages, (2016), https://CRAN.R-project.org/package=rvest.

Wickham H., Stringr: Simple, Consistent Wrappers for Common String Operations, (2018), https://CRAN.R-project.org/package=stringr.

Wickham H., Bryan J., Readxl: Read Excel Files, (2018), https://CRAN.R-project.org/package=readxl.

Wickham H., François R., Henry L., Müller K., Dplyr: A Grammar of Data Manipulation, (2018), https://CRAN.R-project.org/package=dplyr.

Wickham H., Grolemund G., R for Data Science: Import, Tidy, Transform, Visualize, and Model Data, O’Reilly Media 2016.

Wickham H., Hester J., François R., Readr: Read Rectangular Text Data, (2018), https://CRAN.R-project.org/package=readr.

Wickham H., Hester J., Ooms J., Xml2: Parse XML, (2019), https://CRAN.R-project.org/package=xml2.

Wiley G.M., Wiley J.F., Advanced R: Data Programming and the Cloud, Apress 2016.

Xie Y., Bookdown: Authoring Books and Technical Documents with R Markdown, Chapman & Hall/CRC 2016.

Xie Y., Dynamic Documents with R and knitr, Chapman & Hall/CRC 2015.

Xie Y., Knitr: A General-Purpose Package for Dynamic Report Generation in R, (2019), https://CRAN.R-project.org/package=knitr.

Xie Y., Allaire J.J., Grolemund G., R Markdown: The Definitive Guide, Chapman & Hall/CRC 2018.