Reproducible Research
by
1, 1, 1
- 1 The Johns Hopkins University
In this Online Course you will learn the ideas of reproducible research and reporting of statistical analyses.
Course Description
In this course you will learn the ideas of reproducible research and reporting of statistical analyses. Topics covered include literate programming tools, evidence-based data analysis, and organizing data analyses. In this course you will learn to write a document using R markdown, integrate live R code into a literate statistical program, compile R markdown documents using knitr and related tools, publish reproducible documents to the web, and organize a data analysis so that it is reproducible and accessible to others.Schedule
- Structuring and organizing a data analysis
- Markdown and R Markdown
- knitr / RPubs
- Reproducible research check list
- Evidence-based data analysis
- Case studies in air pollution epidemiology and high-throughput biology
research design
Publisher:
The Johns Hopkins University
The Johns Hopkins University
{
- author = {Roger Peng and Jeff Leek and Brian Caffo},
- title = {Reproducible Research},
- publisher = {The Johns Hopkins University},
Roger Peng and Jeff Leek and Brian Caffo Reproducible Research The Johns Hopkins University
Click on the link under to view document:
Personal skills
Write information
Problem solving
Research skills
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