Bethesda, MD
Trans NIH Facility
MAB provides visual communication solutions across all media to the entire NIH community. Our Medical Illustration section provides a complete range of biomedical visualization services, including manuscript/textbook figures, infographics, 3D modeling, animation, technical diagrams, Read More...
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Bioinformatics
Tidy data is an approach (or philosophy) to data organization and management. There are three rules to tidy data: (1) each variable forms its own column, (2) each observation forms a row, and (3) each value has its Read More...
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Bioinformatics
Tidy data is an approach (or philosophy) to data organization and management. There are three rules to tidy data: (1) each variable forms its own column, (2) each observation forms a row, and (3) each value has its Read More...
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Bioinformatics
This lesson will introduce data wrangling with R. Attendees will learn to filter data using base R and tidyverse (dplyr) functionality. Learning Objectives Understand the concept of tidy data. Become familiar with the tidyverse packages. Read More...
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Bioinformatics
Introduction to Data Wrangling with the Tidyverse Objectives Wrangle data using tidyverse functionality (i.e., dplyr ). To this end, you should understand: 1. how to use common dplyr functions (e.g., select() , group_by() , arrange() , mutate() , Read More...