[R] How to ignore data
dwinsemius at comcast.net
Tue Dec 14 02:44:42 CET 2010
On Dec 13, 2010, at 3:07 PM, Barry Rowlingson wrote:
> On Mon, Dec 13, 2010 at 7:36 PM, Steve Sidney <sbsidney at mweb.co.za>
>> Oh dear oh dear!!! another arrogant statistician/scientist
>> One asks for help and instead one gets an ear full!!!
> we're statisticians. we love data. we hate seeing it go to waste.
> every zero, every one, every NA value is dear to our hearts. Bert was
> showing the same concern that a mother does for her children. Don't
> hate him for that.
Nominated for fortune-ization in some form or another.
> Knowing you have 100 values with about 5-10% 0/1 values is half the
> story we need - if the remaining 90-95% are in the thousands then
> clearly these low ones are failures, and everyone on this list will
> say "treat as missing values, do X = X[X>1] and carry on". However if
> the real values are in the tens and units then maybe something is
> going on. You did say removing them hasn't affected previous analyses,
> but some more data would help - we just love data...
> R-help at r-project.org mailing list
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
David Winsemius, MD
West Hartford, CT
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