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POWhat are some situations in which one would prefer melt from reshape over ddply from plyr? I'm trying to learn them and they seem similar
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2012-04-16T03:23:50.340
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<p>It seems like melt will reshape your data frame with id columns and stacked measured variables after which a cast lets you perform aggregation. ddply, from the plyr package seems to be very similar..you give it a data frame, a couple of column variables for grouping, and an aggregation function and you get back a data frame...so how are they different and are there any good resources/references to share for learning these tools besides their documentation (which, especially for reshape, is a bit difficult to follow)</p> <p>Thanks</p>
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<r><plyr><reshape>
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What are some situations in which one would prefer melt from reshape over ddply from plyr? I'm trying to learn them and they seem similar
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