), levels.mean=T)
k5 - as.numeric(levels(k7))[k7]
I could round to 1 decimal to be even more exact but this is good
enough. If it can be more elegant, please let me know!
Denis
Subject: [R] 2 small problems: integer division and the nature of NA
Hi,
I'm wondering why
48 %/% 2 gives 24
but
4.8
Hi,
I'm wondering why
48 %/% 2 gives 24
but
4.8 %/% 0.2 gives 23...
I'm not trying to round up here, but to find out how many times
something fits into something else, and the answer should have been the
same for both examples, no?
On a different topic, I like the behavior of NAs better in R
Denis Chabot wrote:
Hi,
I'm wondering why
48 %/% 2 gives 24
but
4.8 %/% 0.2 gives 23...
I'm not trying to round up here, but to find out how many times
something fits into something else, and the answer should have been the
same for both examples, no?
No. Not from the perspective of a digital
It's the difference between integers and reals: 48 and 24 are
integers; 4.8 and 0.2 are floating point numbers. Consider:
(4.8+.Machine$double.eps) %/% (0.2-.Machine$double.eps)
[1] 24
(4.8-.Machine$double.eps) %/% (0.2+.Machine$double.eps)
[1] 23
Does this help? spencer graves
Denis Chabot [EMAIL PROTECTED] writes:
Hi,
I'm wondering why
48 %/% 2 gives 24
but
4.8 %/% 0.2 gives 23...
I'm not trying to round up here, but to find out how many times
something fits into something else, and the answer should have been
the same for both examples, no?
Well, you
@stat.math.ethz.ch
Subject: [R] 2 small problems: integer division and the nature of NA
Hi,
I'm wondering why
48 %/% 2 gives 24
but
4.8 %/% 0.2 gives 23...
I'm not trying to round up here, but to find out how many times
something fits into something else, and the answer should have been the
same for both
Denis Chabot chabotd at globetrotter.net writes:
: The sum of a vector having at least one NA but also valid data gives NA
: if we do not specify na.rm=T. But with na.rm=T, we are telling sum to
: give the sum of valid data, ignoring NAs that do not tell us anything
: about the value of a
