On 01-Apr-06 Frank E Harrell Jr wrote: > I have never taken a statistics class nor read a statistics text, but > I am in dire need of help with a trivial data analysis problem for > which I need to write a report in two hours. I have spent 10,000 > hours of study in my field of expertise (high frequency noise-making > plant biology) but I've always thought that statistics is something > that can be mastered on short notice.
Dear Ibn Fuld (I apologise for rewriting your name correctly, and I do appreciate the problems of people who do not natively speak English, but I thought that doind so would be useful for the members of the list who have the coverse problem), You have an evidently complex problem there, but apparently a very short time in which to solve it. Happily, I see a very simple solution. Just talk to your plants, ask them how they are, record their acoustic responses, and use your existing expertise to analyse and interpret the latter. I judge that you need to learn nothing new to do this, your institution should posses the required technology, and I suspect that little if any new R code would be required. Good luck, ZB <[EMAIL PROTECTED]> > Briefly, I have an experiment in which a response variable is > repeatedly measured at 1-day intervals, except that after a plant > becomes sick, it is measured every three days. We forgot to randomize > on one of the important variables (soil pH) and we forgot to measure > the soil pH. Plants that begin to respond to treatment are harvested > and eaten (deep fried if they don't look so good), but we want to make > an inference about long-term responses. In addition, we forgot to > measure the response on some of the days before the plant was > terminated. Some baseline variables were not measured for some > plants, when some of the other variables looked OK. The response > variable is only known to exceed a certain value in some cases, and in > others is only known to be less than a certain value. The response > variable also has a great number of ties at zero, and has extreme high > outliers. The variability of responses seems to depend on whether > there was missing variables for the plant. And halfway through the > experiment we changed instrumentation and personnel. All of these > problems seem trivial when compared to what I have to deal with every > day in measuring plant sounds, so I hope that someone can help me as > soon as possible. I would appreciate receiving a few paragraphs of > description of the analysis that I can include in my report, and I > would like to receive R code to analyze the data no matter which > variables I collect. I do value your time, so you will get my > everlasting thanks. > > > Note that I will be out of the office from 1:15pm to 1:25pm today. > This information should be valuable to many. > > I. Ben Fuld > Technical University of Plant Kinetics > Slapout, Alabama > > LEGAL NOTICE\ Unless expressly stated otherwise, this > messag...{{dropped}} > > ______________________________________________ > 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 -------------------------------------------------------------------- E-Mail: (Ted Harding) <[EMAIL PROTECTED]> Fax-to-email: +44 (0)870 094 0861 Date: 01-Apr-06 Time: 15:44:50 ------------------------------ XFMail ------------------------------ ______________________________________________ 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