Sounds like you need a course in statistics. This is a 2-sample comparison problem. It might be worth finding a local stat consultant, it shouldn't take much time.
"James R. Graham" <[EMAIL PROTECTED]> writes: > Hello All, > > Forgive me if this a blatantly newbie question or not germane to the > list, but i was wondering if my current approach to my problem is the > best way in R. > > I have two experimental datasets (positive and negative) of differing > lengths and a large number of ways of numerically expressing the data > by using various scales to represent each data point. > > I am looking for a scale that will allow me to differentiate between > the positive and negative populations. > > Each dataset is simply a list of numbers: 43 numbers in the positive > case and 9 in the negative (small sets, i know, but it's all the data > i currently have) and I have hundreds of scales. > > I assign each dataset to a variable using scan() (each are in separate > files). > > My initial comparison of the two datasets is simply a boxplot with the > hope that the two do not overlap too much... > > Is this the way you would approach this problem? Is there an easier > way of doing this in R? > > Any and all help is greatly appreciated! > > james > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > -- Anthony Rossini Research Associate Professor [EMAIL PROTECTED] http://www.analytics.washington.edu/ Biomedical and Health Informatics University of Washington Biostatistics, SCHARP/HVTN Fred Hutchinson Cancer Research Center UW (Tu/Th/F): 206-616-7630 FAX=206-543-3461 | Voicemail is unreliable FHCRC (M/W): 206-667-7025 FAX=206-667-4812 | use Email CONFIDENTIALITY NOTICE: This e-mail message and any attachme...{{dropped}} ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
