From: John Fox <jfox_at_mcmaster.ca>

Date: Thu 26 May 2005 - 11:09:52 EST

John Fox

Department of Sociology

McMaster University

Hamilton, Ontario

Canada L8S 4M4

905-525-9140x23604

http://socserv.mcmaster.ca/jfox

R-help@stat.math.ethz.ch mailing list

https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Thu May 26 11:15:24 2005

Date: Thu 26 May 2005 - 11:09:52 EST

Dear Omar,

It wasn't clear to me from your original question that you wanted to test that *all* the corresponding entries were equal, as opposed to each individual entry.

In any event, I don't think that you'll find a similar function for testing inequality, so you can do as you suggest, but of course without abs().

Regards,

John

John Fox

Department of Sociology

McMaster University

Hamilton, Ontario

Canada L8S 4M4

905-525-9140x23604

http://socserv.mcmaster.ca/jfox

> -----Original Message-----

*> From: r-help-bounces@stat.math.ethz.ch
**> [mailto:r-help-bounces@stat.math.ethz.ch] On Behalf Of Omar Lakkis
**> Sent: Wednesday, May 25, 2005 10:08 AM
**> To: r-help@stat.math.ethz.ch
**> Subject: Re: [R] precision problem
**>
**> all.equal is helpful when I am comparing equality of two matrices.
**> However, when I am comparing two individual number with > or
**> < is my best bet doing if( abs(x - y) < tolerence) or is
**> there a function like all.equal that has the same default tolerence?
**>
**> On 5/25/05, Omar Lakkis <uofiowa@gmail.com> wrote:
**> > Thank you all.
**> > all.equal is very helpful since I am also interested in finding the
**> > mismatched prices.
**> >
**> > On 5/25/05, John Fox <jfox@mcmaster.ca> wrote:
**> > > Dear Omar,
**> > >
**> > > Perhaps I'm missing something, but why not just subtract
**> one matrix
**> > > from the other and test the difference in relation to the
**> precision
**> > > that you require for the comparison? E.g., to test near equality,
**> > > something like, abs(A - B) < 1e-13.
**> > >
**> > > I hope this helps,
**> > > John
**> > >
**> > > --------------------------------
**> > > John Fox
**> > > Department of Sociology
**> > > McMaster University
**> > > Hamilton, Ontario
**> > > Canada L8S 4M4
**> > > 905-525-9140x23604
**> > > http://socserv.mcmaster.ca/jfox
**> > > --------------------------------
**> > >
**> > > > -----Original Message-----
**> > > > From: r-help-bounces@stat.math.ethz.ch
**> > > > [mailto:r-help-bounces@stat.math.ethz.ch] On Behalf Of
**> Omar Lakkis
**> > > > Sent: Wednesday, May 25, 2005 9:09 AM
**> > > > To: r-help@stat.math.ethz.ch
**> > > > Subject: [R] precision problem
**> > > >
**> > > > I have prices that I am finding difficult to compare with ==,
**> > > > > and >, due to precision. For example: the numbers should
**> > > > match, with '==', but they differ in the magnitude of
**> 1e-14 due to
**> > > > bunch of calculations that I run on them. Programming
**> with java, I
**> > > > am used to implementing a function that compares the difference
**> > > > between the numbers to a pre determined precision factor. This
**> > > > could be very slow when I have two matrices of numbers that I
**> > > > could otherwise compare with a simple '==', '>' or '<' in R.
**> > > > What is teh best solution for this problem?
**> > > > Can I control the precision of ==, > and < without having to
**> > > > reimplement the operations in a slow way?
**> > > >
**> > > > ______________________________________________
**> > > > R-help@stat.math.ethz.ch mailing list
**> > > > https://stat.ethz.ch/mailman/listinfo/r-help
**> > > > PLEASE do read the posting guide!
**> > > > http://www.R-project.org/posting-guide.html
**> > >
**> > >
**> >
**>
**> ______________________________________________
**> R-help@stat.math.ethz.ch mailing list
**> https://stat.ethz.ch/mailman/listinfo/r-help
**> PLEASE do read the posting guide!
**> http://www.R-project.org/posting-guide.html
*

R-help@stat.math.ethz.ch mailing list

https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Thu May 26 11:15:24 2005

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