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Last update: T_KPMS (30.05.2016)
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Last update: doc. RNDr. Arnošt Komárek, Ph.D. (03.12.2020)
To teach students to use effectively advanced tools of R, a free software environment for statistical computation and graphics, related open-source software products and other selected computational tools. To provide an overview on selected commercial products used for statistical data analysis. |
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Last update: doc. RNDr. Arnošt Komárek, Ph.D. (19.05.2016)
Chambers, J. M. Software for Data Analysis: Programming with R. New York: Springer-Verlag, 2008, xiv + 500 s. ISBN: 978-0-387-75935-7.
Murrell, P. R Graphics, Second Edition. Boca Raton: Chapman & Hall/CRC, 2012, xxvii + 518 s. ISBN: 978-1-4398-3177-9. |
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Last update: doc. RNDr. Arnošt Komárek, Ph.D. (19.05.2016)
Seminar + individual work with possibility of advice. |
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Last update: doc. RNDr. Arnošt Komárek, Ph.D. (12.04.2018)
1. Basics of html, web presentations. 2. R programming (functions, vectorized operations, ...). 3. Advanced graphics in R (lattice, ggplot2, ...). 4. Automatized reporting using R, systems for automatized reporting and preparation of presentations (Sweave, markdown, shiny). 5. Basics of a programming language C, use for computationally intensive computation when integrated with the R environment. 6. Use of computational clusters for intensive computation. 7. Overview information on selected commercial products for statistical data analysis (SAS, Dell Statistica, IBM SPSS). |