This is due to the internal representation of 0.1, which is not exactly
0.1 but very close to it. If you want to do an integer divide, you
should only use integers to divide with.
Cheers,
Thierry
------------------------------------------------------------------------
----
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Reseach Institute for Nature
and Forest
Cel biometrie, methodologie en kwaliteitszorg / Section biometrics,
methodology and quality assurance
Gaverstraat 4
9500 Geraardsbergen
Belgium
tel. + 32 54/436 185
Thierry.Onkelinx op inbo.be
www.inbo.be
Do not put your faith in what statistics say until you have carefully
considered what they do not say. ~William W. Watt
A statistical analysis, properly conducted, is a delicate dissection of
uncertainties, a surgery of suppositions. ~M.J.Moroney
-----Oorspronkelijk bericht-----
Van: r-help-bounces op stat.math.ethz.ch
[mailto:r-help-bounces op stat.math.ethz.ch] Namens Jeffrey Prisbrey
Verzonden: woensdag 3 januari 2007 14:21
Aan: r-help op stat.math.ethz.ch
Onderwerp: [R] understanding integer divide (%/%)
I am confused about why the following occurs:
> version
_
platform i386-pc-mingw32
arch i386
os mingw32
system i386, mingw32
status
major 2
minor 4.0
year 2006
month 10
day 03
svn rev 39566
language R
version.string R version 2.4.0 (2006-10-03)> 1 %/% 0.1
[1] 9> 10 %/% 1
[1] 10>
This effect led me into an trap when I tried to
classify a set of proportions based on the first
decimal place by integer dividing by 0.1. Can someone
explain why this behavior occurs and give me an
insight into how to predict it?
Thanks,
-- Jeff
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