 Dear list,
 
 I have following data, where I want to check if any value in each 
 column is out of range. For example, column "f1" can only take values
 1-5, so if any values less than 1 or > 5 will be 
 defined as missing value (i.e. NA), column "f4" can only take values
 of 1-3 and any values that are outside this interval will be 
 considered as missing values. The below data is a subset of a big survey
 sample and I want to create an automatic procedure to check if all particpants
 gave a reasonable answer. How can I do this in R and also replace the empty 
 values with NA?
 
 > dat
    id f1 f2 f3 f4 f5 f6 f7 f8 f9 f10
1   1  5  3  1  1  1  1  2  1  1   1
2   2  5  5  1  1  1  1  2  1  1   2
3   3  3  4  1  1  1  1  2  1  1   1
4   4  5  5  1  1  1  1  1  1  1   1
5   5  4  3  2     1  2  2  1  2   3
6   6  4  4  1  2  2  1  2  1  1   1
7   7  4  4  1  1  1  2  3  2  2   2
8   8  4  5  2  2  2  2  2  2  2   2
9   9  4  4  2  3  3  3  3  3  3   3
10 10  4  3  1  2  3  1  2  1  2   3
11 11  2  5  1  1  2  1  3  1  1   2
12 12  4  3  1  2  3  3  3  3  2   3
13 13  5  5  1  1  1  1  2  1  1   2
14 14  5  3  3  3  3  2  1  3  1   1
15 15  4  3  1  1  1  2  2  2  1   2
16 16  3  2  2  3  2  3  3  2  2   3
17 17  4  5  1  1  1  1  2  1  1   1
18 18  3  3  2  2  3  2  3  2  3   3
19 19  4  4  1  2  2  2  3  2  3   3
20 20  4  4  1  2  3  3  3  2  3   3
 
Thanks in advance,
  Tom

       
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