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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