Hello,

I have a large data.frame of 80,000 rows where each row is a record.  Each 
record is indexed by a unique ID in the first column.

I need to update values for a column for *some* of the records.  I was given a 
data.frame with about 10,000 rows and two columns.  The first is the record ID, 
the second is the new values.

The slow way to do this is to loop through the new data (10,000 rows) and 
update the value in the corresponding master data.frame.  However this will be 
painfully slow.  

Does anyone have a clever way to shortcut the process.  In English, what I want 
to do is, "For each row in the update list, lookup the corresponding ID in the 
master data frame and update the value."


Ideas?


--
Noah Silverman, M.S.
UCLA Department of Statistics
8117 Math Sciences Building
Los Angeles, CA 90095

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