Teaching schedule:

(1)Introduction to R and RStudio, basic operations in S language, installation of packages.

(2)Main types of R objects (vector, matrix, data frame, list), reading and exporting data, creating fully reproducible R script.

(3)Loop and function, using the random ecological drift example.

(4)How to draw effective scientific figures, high-level vs. low-level graphical functions.

(5)Colors, how to choose them and draw them in R.

(6)Graphical file formats, raster vs vector graphics.

(7)Manipulating data (sorting, merging).

(8)Functions which can loop through data.

(9)Simple rules for vectorization.

(10)Simple rules for parallelization of operations.

(11)Creating figures from scratch, practising.

**Students are required to complete one course from the Biostatistics and Data Analysis course group (one out of four courses).