Conditional read-in of data
That does not seem like a "large" data set. How are you reading it? How many columns does it have? What is "a lot of time" by your definition? You have provided minimal data for obtaining help. I common read in files with 300K rows in under 30 seconds. Maybe you need to consider a relational database for storing your data.
On Wed, Nov 4, 2009 at 12:07 AM, mnstn <pavan.namd at gmail.com> wrote:
Hello All, I have a 40k rows long data set that is taking a lot of time to be read-in. Is there a way to skip reading even/odd numbered rows or read-in only rows that are multiples of, say, 10? This way I get the general trend of the data w/o actually reading the entire thing. The option 'skip' in read.table simply skips the first n rows and reads the rest. I do understand that once the full data set (40k rows) is read-in, I can manipulate the data. But the bottle-neck here is the first read/scan of data. I searched in the forum using key words (conditional skip/skip reading rows/skip data/conditional data read) etc. but couldn't find relevant conversations. I apologize if this has already been discussed since it does seem hard to imagine that nobody has come across this problem yet. Any suggestions/comments are welcome. Thanks, mnstn -- View this message in context: http://old.nabble.com/Conditional-read-in-of-data-tp26191091p26191091.html Sent from the R help mailing list archive at Nabble.com.
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