If I am understanding correctly you can have a look at ? t.test and ? wilcox.test depending on assumptions.
Jim ----- Original Message ----- From: "James R. Graham" <[EMAIL PROTECTED]> To: <[EMAIL PROTECTED]> Sent: Saturday, August 07, 2004 9:38 PM Subject: [R] Question on Differentiating Two Populations in R > 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 ______________________________________________ [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
