>x=c(3.05176E-05,0.000457764,0.003204346,0.0138855,0.04165649,0.09164429,0.1527405,0.1963806,0.1963806,0.1527405,0.09164429,0.04165649,0.0138855,0.003204346,0.000457764,3.05176E-05) >y=c(0.0000306,0.0004566,0.0031985,0.0139083,0.0415539,0.0917678,0.1528134,0.1962831,0.1962994,0.1527996,0.0917336,0.0415497,0.0139308,0.0031917,0.0004529,0.0000301)I tried chisq.test, t-test, prop.test, etc, but the p-value is very high, which is not 'statistically significant'. With these data sets, I want to compare the similarity, which it is very close to identical if you plot them. I am wondering if there is any test that can verify the similarity of the two data sets. thx much ej
Ethan Johnsons wrote:>> x=c(3.05176E-05,0.000457764,0.003204346,0.0138855,0.04165649,0.09164429,0.1527405,0.1963806,0.1963806,0.1527405,0.09164429,0.04165649,0.0138855,0.003204346,0.000457764,3.05176E-05) >> y=c(0.0000306,0.0004566,0.0031985,0.0139083,0.0415539,0.0917678,0.1528134,0.1962831,0.1962994,0.1527996,0.0917336,0.0415497,0.0139308,0.0031917,0.0004529,0.0000301) > > I tried chisq.test, t-test, prop.test, etc, but the p-value is very > high, which is not 'statistically significant'. With these data sets, > I want to compare the similarity, which it is very close to identical > if you plot them. I am wondering if there is any test that can > verify the similarity of the two data sets. > > thx muchfinzi.psych.upenn.edu/R/Rhelp02a/archive/82001.html library(equivalence)> ej > > ______________________________________________ > R-help at stat.math.ethz.ch mailing list > stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code.-- Chuck Cleland, Ph.D. NDRI, Inc. 71 West 23rd Street, 8th floor New York, NY 10010 tel: (212) 845-4495 (Tu, Th) tel: (732) 512-0171 (M, W, F) fax: (917) 438-0894