Statistical Programming

R basics:

data types and data structures
data import, export and manipulation in R
introduction to programming in R (loops, conditional execution, writing functions)
overview of statistical methods in R
Producing reports and web presentations:

overview and basic use of system for reproducible computer supported statistical reports and web presentations
producing statistical web applications using Shiny system
Additional topics (selection):

statistical simulations
automatics data acquisition

Required readings:
Žiberna, A. 2016. Osnovna statistična analiza v R-ju, Ljubljana: FDV (v pripravi, izide konec 2016).
Chambers, J.M., 2009. Software for Data Analysis: Programming with R 1st ed. 2008. Corr. 2nd printing 2009 edition., New York: Springer.

Additional reading:
Everitt, B. & Hothorn, T., 2011. An introduction to applied multivariate analysis with R, New York: Springer.
Peng, R.D., 2015. Exploratory Data Analysis with R, Leanpub. Available at: https://leanpub.com/exdata [Dostopano julij 6, 2015].
Gradiva na spletni strani predmeta, ter gradiva o R-ju ter os sistemih RMarkdown in Shiny, dostopna na spletnih straneh http://www.R-project.org, http://rmarkdown.rstudio.com/ in http://shiny.rstudio.com/.