Abstract
Even if we only consider tabular data, there are still many different ways to format this data. The packages in the Tidyverse expect that data is represented as so-called “tidy data” (which is where the name Tidyverse comes from). The tidyr package helps you with formatting your data into tidy data.
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The gather() and spread() functions transform tibbles in opposite directions in the sense that I have described here, but they are not truly each other’s reverse. The types of values can change depending on the convert argument to gather(), and the order of rows can change.
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© 2019 Thomas Mailund
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Mailund, T. (2019). Reformatting Tables: tidyr. In: R Data Science Quick Reference. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-4894-2_4
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DOI: https://doi.org/10.1007/978-1-4842-4894-2_4
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Publisher Name: Apress, Berkeley, CA
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