I do not understand how to interpret this to find the T Value for the data. Is there a way to figure this out, or another function that will provide this for me using Fisher's Exact Test? The outcome of my data is listed below. data: DATA p-value = 0.1698 alternative hypothesis: true odds ratio is not equal to 1 95 percent confidence interval: 0.6026805 79.8309210 sample estimates: odds ratio 5.430473 -- View this message in context: http://www.nabble.com/What%27s-the-T-Value-in-fisher.test-tp18386075p18386075.html Sent from the R help mailing list archive at Nabble.com.
DaveFrisch wrote:> I do not understand how to interpret this to find the T Value for the data. > Is there a way to figure this out, or another function that will provide > this for me using Fisher's Exact Test? > >What is a T value for Fisher's test _supposed_ to mean?????> The outcome of my data is listed below. > > data: DATA > p-value = 0.1698 > alternative hypothesis: true odds ratio is not equal to 1 > 95 percent confidence interval: > 0.6026805 79.8309210 > sample estimates: > odds ratio > 5.430473 >-- O__ ---- Peter Dalgaard ?ster Farimagsgade 5, Entr.B c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk) FAX: (+45) 35327907
Hi Dave, As I know there is no T value for Fisher's exact test (no matter you use SAS, R or other packages) Fisher's exact test is for the categorical data analysis. Fisher's exact test for testing the null of independence of rows and columns in a contingency table with fixed marginals so your result is fail to reject the independence. (If I am wrong please correct me) Hope this helps. Chunhao Tu Quoting DaveFrisch <davefrisch at yahoo.com>:> > I do not understand how to interpret this to find the T Value for the data. > Is there a way to figure this out, or another function that will provide > this for me using Fisher's Exact Test? > > The outcome of my data is listed below. > > data: DATA > p-value = 0.1698 > alternative hypothesis: true odds ratio is not equal to 1 > 95 percent confidence interval: > 0.6026805 79.8309210 > sample estimates: > odds ratio > 5.430473 > -- > View this message in context: > http://www.nabble.com/What%27s-the-T-Value-in-fisher.test-tp18386075p18386075.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > R-help at 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. >
On 10-Jul-08 16:49:57, DaveFrisch wrote:> I do not understand how to interpret this to find the T Value > for the data. > Is there a way to figure this out, or another function that will > provide this for me using Fisher's Exact Test?If I interpret your query correctly, you are expecting to find something which corresponds to a deviation divided by its standard error (such as one gets in a t-test, as an attribute of a coefficient in a regression, etc.). The Fisher exact test does not work in these terms at all. Essentially, with the fixed-margins assumption which underlies the Fisher exact test (of a 2x2 table), the entire table is determined by the value of one cell -- say 'a' in row 1, column 1. Each possible value of 'a' then has a probability. The values of 'a' which give rise to an odds-ratio more distant from 1 than what is given by the value of 'a' in your data have a probability which is the sum of their individual values. This is then the P-value of the test. That's it. There is no "T"! Ted.> The outcome of my data is listed below. > > data: DATA > p-value = 0.1698 > alternative hypothesis: true odds ratio is not equal to 1 > 95 percent confidence interval: > 0.6026805 79.8309210 > sample estimates: > odds ratio > 5.430473 > -- > View this message in context: > http://www.nabble.com/What%27s-the-T-Value-in-fisher.test-tp18386075p183 > 86075.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > R-help at 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.-------------------------------------------------------------------- E-Mail: (Ted Harding) <Ted.Harding at manchester.ac.uk> Fax-to-email: +44 (0)870 094 0861 Date: 10-Jul-08 Time: 19:33:48 ------------------------------ XFMail ------------------------------