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Activity Number:
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434
- SPEED: Classification and Data Science
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2018 : 2:00 PM to 2:45 PM
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Sponsor:
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Section on Statistical Learning and Data Science
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Abstract #332845
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Title:
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Accessible Statistical Reports in R: Using R, Markdown, and Word to Create Accessible Reproducible Documents
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Author(s):
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Robert Montgomery* and Peter Herman and Qiao Ma and Stephen Schacht
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Companies:
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NORC and NORC at the University of Chicago and NORC at the University of Chicago and NORC at the University of Chicago
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Keywords:
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R;
R Markdown;
Reproducible reporting;
Data science;
Accessibility
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Abstract:
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R Markdown provides a flexible set of tools to produce high-quality reproducible documents using statistical analysis from R combined with responsive narrative text. However, there are very few options for producing PDF documents that meet accessibility standards. We discuss a process for producing complex documents from statistical analysis with basic accessibility features and how to ensure compliance with standards such as WCAG 2.0. We also suggest ways to solve challenges such as formatting and branding, document automation, and quality assurance.
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Authors who are presenting talks have a * after their name.
