A crash course in R

This course will cover common problems in R code, and offer techniques to make code more efficient and less prone to user error. By the end of the course, participants should be able to write efficient statistical software and validate existing code. Topics will include: 1) Overview of R a) Units: Numeric, integer, character, and factor b) Data structures: Vector, matrix, array, list, and data frames c) Manipulating data structures 2) Writing efficient R code a) Writing (and avoiding) loops b) Vectorizing over matrices, arrays, and lists 3) Writing functions a) Environments b) Passing arguments and proper lexical scoping 4) Making R code easy-to-use a) Implementing model functions in your code b) Generic functions 5) Validating statistical models a) Monte Carlo simulation b) Unit tests 6) Making R run fast a) Profiling R code b) Calling compiled languages (C, C++, Fortran) from R Intended Audience UseRs (and programmers from other statistical languages) who are interested in learning how to write fast, easy-to-use R code. Required Knowledge Familiarity with a command line-based statistical package (e.g., R, SAS, etc) is required. Instructions on installing R and an R editor will be distributed via email prior to the course. Course will be provided by Data Science Malta in May 12th and 13th 2018, during a 2 full day workshops. For further details and to book, please contact us on info@datasciencemalta.com or call on (00356)79080254. Price: 300 euros, including lunch break. Should you be visiting Malta specifically for the workshop, we can help you with accommodation and travelling.