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Advanced Programming in R

Veranstaltungsdaten

Do you already work with R occasionally to:

• Perform manipulation and follow-up processing of your data?
• Conduct statistical analysis beyond the scope of basic spreadsheet applications?
• Visualize the results derived therefrom in preparation for meaningful publications?

If the answer to at least one of these questions is "yes" and you want to make your R workflows more efficient, then this advanced R course could be for you!

Intended Learning Outcomes

• You will have an overview of various methods to bring (big) data into shape (e.g., by using the popular "dplyr" package). This knowledge will enable you to create publication-quality graphics from only a few lines of code (presentation and practical exercises).
• You will be capable of employing effective loop structures beyond the scope of regular – and very slow! – for-loop constructs including the parallelization of computationally expensive tasks and utilizing the extensive connectivity between R and C++ (practical exercises).
• You will be able to boost the performance of your custom functions by employing the principle of functional programming in meaningful ways (practical exercises).
• In addition, you will have improved organizational structure and version control habits by using RStudio projects along with fully implemented GitHub functionality (trainer input and practical exercises).

Requirements

Basic knowledge in the usage of R is required. You are further requested to bring a laptop with the latest versions of R and RStudio installed for use in the workshop. Rtools needs to be present and working on Windows, and the Xcode package should be installed on macOS. Also be sure to sign up at GitHub and install Git on your machine. If you have technical questions, the instructor will be happy to provide installation assistance.
Proficiency in English at the B2 level of competency is required.

Date

November 6, 2017, 9 am–5 pm

Target Group

Doctoral candidates from all disciplines

Modalities

Maximum number of 10 participants
Internal 25 EUR
External 75 EUR

Registration

At mara.lnw@uni-marburg.de, deadline October 23, 2017
Please note that your registration is binding. You may cancel your registration up to twelve days before the beginning of the course without providing specific reasons.Thereafter, you will be required to pay the attendance fee even if you do not attend the course.