wilcox.test returned estimates
"Gregory Snow" <Greg.Snow at intermountainmail.org> writes:
If you really want to look at the difference between 2 medians, then consider using permutation tests and bootstrapping for the interval.
Also notice that contrary to popular belief, distributions with identical medians can be significantly different. Simplest example is performance scales where one group scores full marks in 90% of the cases and another group scores full marks in 60% of the cases.
-----Original Message----- From: r-help-bounces at stat.math.ethz.ch on behalf of pmt1rew at leeds.ac.uk Sent: Wed 2/15/2006 4:36 AM To: r-help at stat.math.ethz.ch Subject: [R] wilcox.test returned estimates Hi all, I have being using wilcox.test to test for differences between 2 independent samples. I had understood the difference in location to be conventionally the difference in the sample medians however this is not the case when implemented in R. I have tied ranks and therefore non-exact p-value and confidence intervals are calculated due to the normal approximation. But what exactly is this normal approximation i.e. how is it involved in estimating the location difference? Further, is it then wrong to refer to the difference in location as the difference between the medians? Does anyone have a more appropriate description? Thanks Rebecca
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