Jim,

That's perfect.  Thanks.

Also tried Neal's method, but it wound up be MUCH slower to build the index.

Thanks,

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



On Mar 21, 2013, at 6:07 PM, Jim Holtman <jholt...@gmail.com> wrote:

> indx <- match(main.df$id, key$id, nomatch = 0)
> main.df$value[indx != 0] <- key$value[indx]
> 
> Sent from my iPad
> 
> On Mar 21, 2013, at 20:57, Noah Silverman <noahsilver...@ucla.edu> wrote:
> 
>> 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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