Reshaping Data in R - Hadley Wickham

Proceedings of the 4th International Workshopon Directions in Statistical Computing (DSC2005) Reshaping data in RHadley Wickham . data is a common task in practical data analysis, and itis usually unintuitive and tedious. data often has multiple levels of group-ing (nested treatments, split plot designs, or repeated measurements) andtypically requires investigation at multiple levels. For example, from a longterm clinical study we may be interested investigating relationships over time,or between times or patients or treatments. Performing these investigationsfluently requires the data to be reshaped in different R supplies a reshape function that can perform some of thesetasks, but confounds multiple steps in the process and is hard to use.

Proceedings of DSC 2005 2 Each of these functions tends to deal well with one or two specific scenarios, and each requires slightly different input arguments.

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