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Reproducibility and open scientific practices are increasingly being requested or required of scientists and researchers, but training on these practices has not kept pace. This course intends to help bridge that gap and covers the fundamentals and workflow of data analysis in R. This repository contains the lesson, lecture, and assignment material for the course, including the website source files and other associated course administration files. For more details on the course, check out the website.
open source education, training, workshop, data analysis, learning material, reproducible research, programming, teaching, open source, teaching material, open education, rstats, reproducibility, data processing
open source education, training, workshop, data analysis, learning material, reproducible research, programming, teaching, open source, teaching material, open education, rstats, reproducibility, data processing
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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