reshape2 <img class="emoji" alt="heart" src="https://cdn.jsdelivr.net/gh/qinwf/awesome-R@3c66da6e291bcc0520b1649125b0bed750896a9a/heart.png" height="20" align="absmiddle" width="20">
An R package for flexibly rearranging, reshaping, and aggregating data, now superseded by tidyr.
What is reshape2 <img class="emoji" alt="heart" src="https://cdn.jsdelivr.net/gh/qinwf/awesome-R@3c66da6e291bcc0520b1649125b0bed750896a9a/heart.png" height="20" align="absmiddle" width="20">?
reshape2 is an R package that provides tools for flexibly rearranging, reshaping, and aggregating data, primarily converting data between wide and long formats. It solves the problem of restructuring datasets to facilitate analysis, visualization, and modeling in R. The package is a reboot of the original reshape, offering significant performance improvements through optimized algorithms.
Data scientists, statisticians, and R programmers who need to manipulate and reshape datasets for analysis, especially those working with tidy data principles or preparing data for visualization.
Developers choose reshape2 for its speed and efficiency, with operations up to 100x faster than the original reshape, and its streamlined syntax that simplifies complex data transformations. However, it is now superseded by tidyr, which is recommended for modern workflows.
Overview
An R package to flexible rearrange, reshape and aggregate data
Use Cases
Best For
- Converting data from wide to long format for statistical modeling
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