Hi This is probably more of a statistics question than a specific R question, although I will be using R and need to know how to solve the problem in R.
I have several sets of data (ejection fraction measurements) taken in various ways from the same set of (~400) patients (so it is paired data). For each individual measurement I can make an estimate of the percentage uncertainty in the measurement. Generally the measurements in data set A are higher but they have a large uncertainty (~20%) while the measurements in data set Bare lower but have a small uncertainty (~4%). I believe, from the physiology, that the true value is likely to be nearer the value of A than of B. I need to show that, despite the uncertainties in the measurements (which are not themselves normally distributed), there is (or is not) a difference between the two groups, (a straight Wilcoxon signed ranks test shows a difference but it cannot include that uncertainty data). Can anybody suggest what I should be looking at? Is there a language here that I don't know? How do I do it in R? Many thanks for your help Sandy -- Sandy Small Clinical Physicist NHS Greater Glasgow and Clyde and NHS Forth Valley Phone: 01412114592 E-mail: sandy.sm...@nhs.net ******************************************************************************************************************** This message may contain confidential information. If yo...{{dropped:21}} ______________________________________________ R-help@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.