Advanced R programming

Assessment description

Solutions 1-4

Lab 1. Loops and conditionals (Piotr Ćwiakowski)

materials 1

Lab 2. Writing own functions, environments (Piotr Ćwiakowski)

materials 2

Lab 3. Advanced funtions, defensive programming (Piotr Ćwiakowski)

materials 3

Lab 4. Vectorization and purrr functions (Piotr Ćwiakowski)

materials 4

Lab 5. Object oriented programming, S3 system, generic functions and methods (Piotr Wójcik)

materials 5

Lab 6. object oriented programming, S4 and R6 (Piotr Wójcik)

materials 6

additional materials 6

Lab 7. Script and report automation (RMarkdown) (Piotr Ćwiakowski)

materials 7

additional materials 7 - 1

additional materials 7 - 2

Lab 8. Benchmarking, profiling and compiler (Piotr Wójcik)

materials 8

additional materials 8

Lab 9. advanced data processing with dplyr, dtplyr, tidyr (Piotr Wójcik)

materials 9

additional materials 9

Lab 10. Basics of Shiny (Piotr Ćwiakowski)

materials 10

additional materials 10

Lab 11. Shiny 2 - multipanel applications (Piotr Ćwiakowski)

materials 11

Lab 12. Using C++ in R, Rcpp (Piotr Wójcik)

materials 12

additional materials 12

Lab 13. RCpp2: advanced usage of Rcpp (Piotr Wójcik)

materials 13

additional materials 13

Lab 14. Creating and testing own package (Piotr Wójcik)

materials 14

Lab 15. Project presentations

Links

The Comprehensive R Archive Network

R Studio

R-bloggers - R news and tutorials

Why R is hard to learn?

ProgrammingR - Beginner to advanced resources for the R programming language

Advanced R by Hadley Wickham

Efficient R programming by Colin Gillespie

Mastering software development with R

Statistics, R, Graphics and Fun