Literatúra

Bryan, Jennifer. 2018. Happy Git and GitHub for the useR. GitHub. https://happygitwithr.com/.
Chang, Winston, Joe Cheng, JJ Allaire, Yihui Xie, a Jonathan McPherson. 2020. shiny: Web Application Framework for R. https://CRAN.R-project.org/package=shiny.
Chang, Winston, a Hadley Wickham. 2020. ggvis: Interactive Grammar of Graphics. https://CRAN.R-project.org/package=ggvis.
Dubossarsky, Eugene, a Howard Song. 2020. ggraptR: Allows Interactive Visualization of Data Through a Web Browser GUI. https://CRAN.R-project.org/package=ggraptR.
Eddelbuettel, Dirk, a James Joseph Balamuta. 2018. “Extending R with C++: a brief introduction to Rcpp”. The American Statistician 72 (1): 28–36.
Engel, C. A. 2019. “Data Visualization with R”. https://cengel.github.io/R-data-viz/interactive-graphs.html.
Erricson, Josh. 2020. “Parallel Processing in R”. https://dept.stat.lsa.umich.edu/ jerrick/courses/stat701/notes/parallel.html.
Finley, Andrew O., Jefrey W. Doser, a Melfi Vince. 2020. “R Programming for Data Sciences”. https://www.jeffdoser.com/files/for875/.
Gillespie, Colin, a Robin Lovelace. 2016. Efficient R programming: a practical guide to smarter programming. " O’Reilly Media, Inc.". https://csgillespie.github.io/efficientR/.
Irizarry, Rafael A, a Michael I Love. 2016. Data Analysis for the Life Sciences with R. CRC Press. https://moderndive.com/.
Ismay, Chester, a Albert Y Kim. 2019. Statistical Inference via Data Science: A ModernDive into R and the Tidyverse. CRC Press.
Kajzar, Peter. 2020. “Čekáme na plochou křivku, pojďme si ji zatím nakreslit”. https://blog.root.cz/ehealth-v-cr/cekame-na-plochou-krivku/.
Oetiker, Tobias. 1999. Nie príliš stručný úvod do systému LATEX2ε. Preložil Ján ml. a st. Buša. https://www.ptep-online.com/ctan/lshort_slovak.pdf.
Pearson, Ronald K. 2018. Exploratory data analysis using R. CRC Press.
Peng, Roger. 2016. Exploratory data analysis with R. Lulu.com. https://bookdown.org/rdpeng/exdata/.
Peng, Roger D. 2016. R programming for data science. Leanpub. bookdown.org/rdpeng/rprogdatascience.
R Core Team. 2020. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.
Shalizi, Cosma. 2016. “Using R Markdown for Class Reports”. http://www.stat.cmu.edu/ cshalizi/rmarkdown/.
Tišňovský, Pavel. 2020. “Seriál Programovací jazyk R”. https://www.root.cz/serialy/programovaci-jazyk-r/.
Tsuda, Masaki E. 2020. “Rcpp for everyone”. https://teuder.github.io/rcpp4everyone_en/.
Wickham, Hadley. 2016. ggplot2: elegant graphics for data analysis. Springer. https://ggplot2-book.org.
———. 2019. Advanced r. CRC press. https://adv-r.hadley.nz.
———. 2020. “Mastering shiny”. https://mastering-shiny.org.
Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy D’Agostino McGowan, Romain François, Garrett Grolemund, et al. 2019. “Welcome to the Tidyverse”. Journal of Open Source Software 4 (43): 1686. https://doi.org/10.21105/joss.01686.
Wickham, Hadley, Romain François, Lionel Henry, a Kirill Müller. 2020. dplyr: A Grammar of Data Manipulation. https://CRAN.R-project.org/package=dplyr.
Wickham, Hadley, a Garrett Grolemund. 2016. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. 1st vyd. O’Reilly Media, Inc. https://r4ds.had.co.nz/.
Wickham, Hadley, a Lionel Henry. 2020. tidyr: Tidy Messy Data. https://CRAN.R-project.org/package=tidyr.
Xie, Yihui. 2016. Bookdown: Authoring Books and Technical Documents with R Markdown. CRC Press. https://bookdown.org/yihui/bookdown/.
———. 2020. knitr: A General-Purpose Package for Dynamic Report Generation in R. https://yihui.org/knitr/.
Xie, Yihui, Joseph J Allaire, a Garrett Grolemund. 2018. R markdown: The definitive guide. CRC Press. https://bookdown.org/yihui/rmarkdown/.
Xie, Yihui, Christophe Dervieux, a Emily Riederer. 2020. R Markdown Cookbook. Chapman; Hall/CRC. https://bookdown.org/yihui/rmarkdown-cookbook/.