Reshaping data with the reshape package
Reshaping data with thereshapepackageHadley 2006Contents1 Introduction22 Conceptual framework33 Melting Melting data with id variables encoded in column names . . . . . . . . . . . . . . . . Melting arrays . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Missing values in molten data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64 Casting molten Basic use . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Aggregation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Margins . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Returning multiple values.
1 Introduction Reshaping data is a common task in practical data analysis, and it is usually tedious and unintuitive. Data often has multiple levels of grouping (nested treatments, split plot designs, or repeated
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