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Methods of Data Processing and Analysis

Anotace

Students will be accustomed to preparation of the sampling plan, collection, modification and assessment of the data. They will know to appropriately use and interpret statistical methods based on the specifics of the particular dataset. The data assessment will be performed in the R environment and the respective libraries.

Povinná literatura

RUMSEY, Deborah, J. 2016, Statistics For Dummies, 2nd edition. Hoboken, NJ, USA: Wiley. ISBN 978-1-119-29352-1 
BRUNSDON, Chris a Lex COMBER, 2019. An introduction to R for spatial analysis and mapping. Second edition. Los Angeles: SAGE. Spatial analytics and GIS (Sage). ISBN 978-152-6428-509 
HOTHORN, Torsten a Brian EVERITT, c2014. A handbook of statistical analyses using R. 3rd ed. Boca Raton: CRC Press. Spatial analytics and GIS (Sage). ISBN 978-148-2204-582 
HUSSON, Francois, Sebastian LE a Jérôme PAGÈS, 2017. Exploratory Multivariate Analysis by Example Using R. 2nd ed. Boca Raton: Chapman and Hall/CRC. ISBN 9780-429-225-437

Doporučená literatura

VENABLES, William M. & SMITH, David M., 2009. An Introduction to R. 2nd edition, Network Theory Ltd. ISBN 978-0954612085 
MAINDONALD, J. H. a John BRAUN, 2010. Data analysis and graphics using R: an example-based approach. Third edition. Cambridge: Cambridge University Press. Cambridge series on statistical and probabilistic mathematics. ISBN 978-113-9194-648 
WICKHAM, Hadley, 2016. Ggplot2: elegant graphics for data analysis. Second edition. [Cham]: Springer. Use R!. ISBN 978-3-319-24277-4 
ZELTERMAN, Daniel, 2015. Applied multivariate statistics with R. Cham: Springer. Statistics for biology and health (Springer). ISBN 978-3-319-14093-3 


Language of instruction čeština, angličtina, čeština, angličtina
Code 546-0182
Abbreviation MAD
Course title Methods of Data Processing and Analysis
Coordinating department Department of Environmental Engineering
Course coordinator Mgr. Oldřich Motyka, Ph.D.