Literatúra

Aggarwal, Charu C. 2015. Data Mining: The Textbook. Springer.

Bacigál, Tomáš. 2022. Úvod Do Analýzy Údajov Pomocou R. Spektrum STU. https://www.svf.stuba.sk/buxus/docs/dokumenty/skripta/2022/Bacigal_T._-_UVOD_DO_ANALYZY_UDAJOV_POMOCOU_R.pdf.

Chang, Winston, Joe Cheng, JJ Allaire, Carson Sievert, Barret Schloerke, Yihui Xie, Jeff Allen, Jonathan McPherson, Alan Dipert, and Barbara Borges. 2022. Shiny: Web Application Framework for r. https://shiny.rstudio.com/.

Chang, Winston, and Hadley Wickham. 2020. Ggvis: Interactive Grammar of Graphics. https://ggvis.rstudio.com/.

Eddelbuettel, Dirk, and 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.

Few, Stephen. 2004. Show Me the Numbers. Analytics Pres.

Finley, Andrew O., Jefrey W. Doser, and Melfi Vince. 2020. “R Programming for Data Sciences.” https://www.jeffdoser.com/files/for875/.

Garmonsway, Duncan. 2023. “Spreadsheet Munging Strategies.” https://nacnudus.github.io/spreadsheet-munging-strategies.

Gillespie, Colin, and Robin Lovelace. 2016. Efficient r Programming: A Practical Guide to Smarter Programming. " O’Reilly Media, Inc.". https://csgillespie.github.io/efficientR/.

Irizarry, Rafael A, and Michael I Love. 2016. Data Analysis for the Life Sciences with r. CRC Press. https://moderndive.com/.

Ismay, Chester, and 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. Translated by 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. https://bookdown.org/rdpeng/rprogdatascience.

R Core Team. 2022. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.

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-Verlag New York. https://ggplot2.tidyverse.org.

———. 2019. Advanced r. CRC press. https://adv-r.hadley.nz.

———. 2020. Mastering Shiny. O’Reilly Media. 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, and Kirill Müller. 2022. Dplyr: A Grammar of Data Manipulation. https://CRAN.R-project.org/package=dplyr.

Wickham, Hadley, and Garrett Grolemund. 2016. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. 1st ed. O’Reilly Media, Inc. https://r4ds.had.co.nz/.

Wickham, Hadley, and Lionel Henry. 2020. Tidyr: Tidy Messy Data. https://cran.R-project.org/package=tidyr.

Xie, Yihui, Joseph J Allaire, and Garrett Grolemund. 2018. R Markdown: The Definitive Guide. CRC Press. https://bookdown.org/yihui/rmarkdown/.

Xie, Yihui, Christophe Dervieux, and Emily Riederer. 2020. R Markdown Cookbook. Chapman; Hall/CRC. https://bookdown.org/yihui/rmarkdown-cookbook/.