Advanced R programming

Dates

Berlin, 1-5 July 2019

Summery

This course aims at giving the students abilities in R programming that go beyond basic R usage. This includes both learning important frameworks as well as tips & tricks and coding style. However, the course will not be highly specialized; rather, it will give a wide overview of the R landscape.

 

 

Prerequisites

The students should have a basic skill set in R. They should be able to write simple programs comfortably, install packages from CRAN and BioConductor, be comfortable with their preferred coding environment and basic data import and export functions.

 

Basic skills in statistics are necessary. The students should understand the concepts of statistical hypothesis testing and p-values. However, an in-depth introduction to these concepts will also be provided.

 

Learning how to code is most effective if applied to a real problem. The students are highly encouraged to bring their own ideas for programs. A few ideas, however, will be provided.

 

 

 

Target student skills

The students will learn:

 

 

             good coding practices

 

             sanitizing data, the tidyverse

 

             advanced graphics in R (both base R graphics and ggplot2)

 

             the R modelling interface

 

             using R for manuscript writing

 

             how to create own R packages

 

 

scheme

On each day, the course will consist of three parts: two guided parts and one self-study part. Each guided part will consist with a lecture and a number of excercises. During the self-study part, students will be encouraged to create their own software packages.

 

Program

 Monday- 09:30- 17:30

 

           Day 1: Starting with the data

 

            Part I: Good coding practices and common fails (Intro to git / github).

 

            Part II: Data sanitization and the tidyverse

 

 

Instructor

 

 Dr. January Weiner

 

COst overview

Package 1

 COURSE + REFRESHMENTS

 

 

 

Package 2

 COURSE + REFRESHMENTS + LUNCH and ACCOMMODATION

 

  480 €

 

 

 

 

  795 €


Registration deadline: 1st June 2019

Cancellation Policy:

 

 

 

> 30  days before the start date = 30% cancellation fee

 

< 30 days before the start date= No Refund.

 

 

 

Physalia-courses cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.