How do I sweep specific columns with dplyr?

Question

An incredibly common operation for my type of data is applying a normalisation factor to all columns. This can be done efficiently using sweep or scale

Answer 1

From dplyr 1.0.0, you can do:

data %>%
 rowwise() %>%
 mutate(across(A:D)/factors)

     ID Type      A       B      C      D
           
1     1 X         3   0.833   3.75   5.33
2     2 X       174 107.     82.5   76   
3     3 X         6   1.67    2.5    5.33
4     4 Y      1377 849.    312.   335.  
5     5 Y       537 353.    161.   165.  
6     6 Y       173 116.     50     50.7