R finding rows of a data frame where certain columns match those of another [duplicate]

Answer 1

You want the function merge.

merge is commonly used to merge two tables by one similar common, but the by argument can allow multiple columns:

merge(testData, testBounced, by=c("Email", "Campaign"))

All pairs of Email and Campaign that don't match will be discarded by default. That's controllable by the arguments all.x and all.y, which default to FALSE.

The default argument for by is intersect(names(x, y)), so you technically don't need to specify the columns in this case, but it's good for clarity.

Answer 2

If you use data.tables and key by the columns you want to match, then you can accomplish your goal in one line:

    tData[tBounce, Bounced := 1L]

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Here is the full process:

library(data.table)
keys <- c("Email", "Campaign")
tData <- data.table(testData, key=keys)
tBounce <- data.table(testBounce, key=keys)

tData[tBounce, Bounced := 1L]

Results:

tData

                Email   Manual Campaign Bounced Opened Clicked ClickThru Unsubscribed
1:    block@quote.com EIFLS0LS        1       1      0       0         0            0
2:     data@frame.com EIFLS0LS        1       0      0       0         0            0
3:          ht@ml.com EIFLS0LS        1       1      0       0         0            0
4: stack@exchange.com EIFLS0LS        1       0      0       0         0            0
5: stack@overflow.com EIFLS0LS        1       1      0       0         0            0
6:     tele@phone.com EIFLS0LS        1       0      0       0         0            0
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