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Asked: 2026-06-03T07:47:38+00:00

I have 2 datasets. A = 3085 rows, 1 column. B = 527 rows,

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I have 2 datasets.

A = 3085 rows, 1 column.
B = 527 rows, 1000 columns.

All values in both of these datasets are the names of shapefiles.

I would like to create a new list of A – B[,1]. A.k.a I would like to remove any values from A that appear in the first column of B.

I will eventually be looping this for all 1000 columns.

If anyone can help, it would be much appreciated.

Regards,

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1 Answer

  1. Editorial Team

    If A and B are data.frames or matrices you can use such procedure

    A[!(A[,1] %in% B[,1]), 1]

    I just now realized fully your question. To loop on all columns of B you can use apply family function. This call will iterate each column of B as x parameter and will return list of length equal to the number of columns of B, each element of the list will be a vector of mismatched elements of A to corresponding column of B.

    apply(B, 2, function(x) A[!(A[,1] %in% x), 1])
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