On Tuesday 08 June 2004 10:43 am, you wrote: > If I understand you correctly, you have two set of ***paired*** > data, one set from the A population, and one from the C population. > > Form the pairwise differences: > > A.diff <- A1 - A2 > C.diff <- C1 - C2
Alas, they are not paired. A1 and A2 are samples from the same population, but of different members. Also, the number of measurements is different for each dataset. > Boxplots and histograms of A.diff and C.diff will tell you > (much more than a test ever would) what's ***really*** going on. The boxplots I have clearly show the difference, but I need a p value to go with it. Here are the boxplots if that helps: http://www.ps.masny.dk/guests/misc/A1.png http://www.ps.masny.dk/guests/misc/A2.png http://www.ps.masny.dk/guests/misc/C1.png http://www.ps.masny.dk/guests/misc/C2.png > P.S. BTW --- you say that your data are continuous, but that their > distributions are ``more like a Poisson''. The Poisson distribution > is DISCRETE!!! Hence the "like". The data is indeed continuous, but a distribution graph increases towards one extreme... Visually, the results are convincing, but I really need a test of significance. Thank you very much for the help, Peter ______________________________________________ [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
