fang lai wrote:
Dear all,The answer is "no". I think you have mis-understood the purpose of Fisher's exact test: read (and understand!) the description in the help page.
I have several questions regarding fisher.test() in
R, and I'd highly appreciate any help with it.
I have a group of observations, each having people's
income, and an indicator of whether selected in or out
a program. I want to test the difference between
income of people who are in and out.
Because the distribution is far from normal, I decide
to use the fisher's exact test, using either mean or
rank as statistics.
Question 0 is: Can I do this test using fisher.test()
in R?
If your data were normall distributed, then you could use a t-test (t.test()). As you are not happy with the normality assumption, you could try an equivalent non-paramteric test, such as the Wilcoxon test (wilcox.test()), also known as a Mann-Whitney test. I would recommend that you make sure you understand how the test works first.
Bob
-- Bob O'Hara Department of Mathematics and Statistics P.O. Box 68 (Gustaf Hällströmin katu 2b) FIN-00014 University of Helsinki Finland
Telephone: +358-9-191 51479 Mobile: +358 50 599 0540 Fax: +358-9-191 51400 WWW: http://www.RNI.Helsinki.FI/~boh/ Journal of Negative Results - EEB: www.jnr-eeb.org
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