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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 the 4th International Workshop on Directions in Statistical Computing (DSC 2005) Reshaping Data in R Hadley Wickham. http://had.co.nz/reshape

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