How to ignore data
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> wrote:
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.
David. > > > 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... > > Barry > > ______________________________________________ > R-help at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > 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