> I've checked my iteration loop with other dataset, i've not
> problems with integer numbers or other dataset with decimals
> but not all decimals dataset.
Any R data set that is 'not all decimals' will be represented internally as
floating point* (eg c(1, 2, 3, 1.5) consists of four floating point numbers,
not three integers and a float), and floating point operations on integer data
will cause conversion to floating point as well. That makes it likely that
_all_ the operations you are doing treat the data as decimal, whether you can
see digits after the decimal point or not.
And R does not round by default until it prints, with the exception of the
natural truncation of double precision floating point numbers at around 16
digits (see FAQ 7.31).
That implies to me that your problem is not in the decimal/integer question;
rather, you have a problem (or unanticipated feature) in your code that is
visible on some floating point data sets but not others and it happens that the
problem data set contains visibly non-integer data.
So you're probably going to have to provide a reproducible example before
anyone can help further.
*Unless it's a list or data frame, in which case different elements can be
different types. But even then, internal floating point arithmetic will always
be in floating point.
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