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Dozierende | Friedrich Leisch, Institute of Statistics, University of Natural Resources and Life Sciences, Vienna |
Abschluss | Confirmation of participation |
Zielpublikum | Experienced R users who want to write their own functions and packages |
Kosten |
Persons without current employment can register for the UZH/ETH fee upon request. |
Kurssprache | English |
Beschreibung |
Statistical data analysis has developed into a computational science over the last decades. One of the main design principles of S, the programming language implemented by R, has been to "turn ideas into software, quickly and faithfully" (John Chambers, author of S). This course will help users with some experience in using R as a data analysis environment to write their first functions to efficiently automate tasks that have to be done repeatedly, e.g., on larger data sets. This allows practitioners to use the complex tool R much more efficiently.
For all Zurich R Courses participants should bring their own laptops to the course. Internet access will be provided, to allow installation of any required software and packages. |
Daten | September 21-22 2023 Registration |