Dear Users!
I encountered with some problem in data reading while I challenged R (and
me too) in a validation point of view.
In this issue, I tried to utilize some reference datasets (
http://www.itl.nist.gov/div898/strd/index.html).
And the result departed a bit from my expectations. This dataset dedicated
to challenge cancellation and accumulation errors (case SmLs07), that's why
this uncommon look of txt file.
Treatment Response
1 1000000000000.4
1 1000000000000.3
1 1000000000000.5
......
2 1000000000000.2
2 1000000000000.4
.....
3 1000000000000.4
3 1000000000000.6
3 1000000000000.4
.........
then after a read.table() I expect the same set instead I've got this:
Treatment Response
1 1 1000000000000.4000244
2 1 1000000000000.3000488
3 1 1000000000000.5000000
.........
22 2 1000000000000.3000488
23 2 1000000000000.1999512
24 2 1000000000000.4000244
.......
58 3 1000000000000.4000244
59 3 1000000000000.5999756
60 3 1000000000000.4000244
61 3 1000000000000.5999756
62 3 1000000000000.4000244
......
a lots of number from the space. I assume that these numbers come from the
binary representation of such a tricky decimal numbers but my question is
how can I avoid this feature of the binary representation?
Moreover, I wondered that it may raise some question in a regulated
environment.
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