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data2
2010 Nov 24
5
Performance tuning tips when working with wide datasets
Does anyone have any performance tuning tips when working with datasets that are extremely wide (e.g. 20,000 columns)?
In particular, I am trying to perform a merge like below:
merged_data <- merge(data1, data2, by.x="date",by.y="date",all=TRUE,sort=TRUE);
This statement takes about 8 hours to execute on a pretty fast machine. The dataset data1 contains daily data going