Say I have an R list like this: > summary(data.list) Length ClassMode aug9104AP18data.frame list Aug17-10_acon_7pt_dil_series_0118data.frame list
I need to take a data.frame in the format of: id1 id2 mean start end 1AD41215 2BE开发者_StackOverflow社区51415
Pretty basic performance question from an R newbie. I\'d like to assign a group ID to each row in a data frame by unique combinations of fields. Here\'s my current approach:
Thanks to Hadley\'s plyr package ddply function we can take a dataframe, break it down into subdataframes by factors, send each to a function, and then combine the function results for each subdatafra
I\'ve got a data frame with far too many rows to be able to do a spatial correlogram. Instead, I want to grab 40 rows for each species and run my correlogram on that subset.
I\'m trying to repeat the elements of vector a, b number of times. That is, a=\"abc\" should be \"aabbcc\" if y = 2.
I\'m struggling with how to best structure categorical data that\'s messy, and comes from a dataset I\'ll need to clean.
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in my application, a RSS r开发者_如何转开发eader, I get memory leaks that I can\'t fix because I can\'t understand from where they come from. Here is the code pointed out by Instruments.
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