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Home/ Questions/Q 7932959
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Editorial Team
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Editorial Team
Asked: June 3, 20262026-06-03T21:10:39+00:00 2026-06-03T21:10:39+00:00

Say I have a data frame like this: ID, ID_2, FIRST, VALUE ———————– ‘a’,

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Say I have a data frame like this:

ID,  ID_2, FIRST, VALUE
-----------------------
'a', 'aa', TRUE, 2
'a', 'ab', FALSE, NA
'a', 'ac', FALSE, NA
'b', 'aa', TRUE, 5
'b', 'ab', FALSE, NA

So VALUE is only set for FIRST = TRUE once per ID. ID_2 may be duplicate between IDs, but doesn’t have to.

How do I put the numbers from the first rows of each ID into all rows of that ID, such that the VALUE column becomes 2, 2, 2, 5, 5?

I know I could simply loop over all IDs with a for loop, but I am looking for a more efficient way.

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  1. Editorial Team
    Editorial Team
    2026-06-03T21:10:41+00:00Added an answer on June 3, 2026 at 9:10 pm

    If you need only to carry forward the values from the VALUE column, then I think you can use na.lofc() function from zoo package. Here is an example:

    a<-c(1,NA,NA,2,NA)
    na.locf(a)
    [1] 1 1 1 2 2
    
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