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r-cubed: Reproducible Research in R - An Intermediate Workshop on Modern Approaches and Workflows to Processing Data

Authors: Johnston, Luke; Silverman-Retana, Omar; Eiset, Andreas; Storgaard, Signe;

r-cubed: Reproducible Research in R - An Intermediate Workshop on Modern Approaches and Workflows to Processing Data

Abstract

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.

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Keywords

open source education, training, workshop, data analysis, learning material, reproducible research, programming, teaching, open source, teaching material, open education, rstats, reproducibility, data processing

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
0
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