Include high performance computing (HPC) in R analyses.Use R in a way that leads to reproducible research.Perform calculations efficiently (as opposed to easily.Find bottlenecks in terms of execution speed and memory usage.This set-up offers participants an ideal opportunity to learn how to: The course is set up in four blocks, and is presented in an attractive mix of lectures and hands-on computer practicals. If you are unsure whether your R skill level is sufficient to attend this course, please contact Wageningen Academy. Presumed knowledge: we aim at individuals with a strong basic understanding of R and experienced in programming in R. This course targets professionals working in health and life sciences (e.g., food industry, breeding and seed business, biotech and agro chemical industry). Hans Kros, research scientist soil, water and environment, Wageningen Environmental Research - participant 2021 edition This course offered high quality lectures and provided me with useful new insights on profiling an efficient programming in R.ĭr.ir. After the course, participants are able to apply the techniques discussed in the course in their own research, and use this as a basis on which to build and include future developments in the R world. Special attention will be devoted to reproducible research in R. This includes good programming practices particular to R, but also more general background on high-performance computing, applied to the R ecosystem. The course provides background in the possibilities R provides for handling big data, both in terms of execution speed and memory management. Th is course is not open for registration.
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