Hello, I would like to ask a question about using DTK.test() to do the T3 test. The data file is downloadable here: http://ubuntuone.com/0zBl8QgUg1lAG6iK1CUicD My question is: in the result of T3 test, is it possible for the following three statements to hold without conflict? 1. m_a and m_b to be significantly different 2. m_a and m_c are not significantly different. 3. (m_c - m_a) >= (m_c- m_b) where m_i is the mean value of group i. I know that for Tukey test, the above three statements can't hold without conflict. The code to run the test is: ======== BEGIN ===========library(DTK) df <- read.csv("./tmpData.csv") DTK_result <- DTK.test(df$measurement, df$model, .05) print(DTK_result) ======== END =========== Part of the result is displayed below. It says model05 and model01 are significantly different, while model04 and model01 are not. ======== BEGIN =========== Diff Lower CI Upper CI model02-model01 0.068468884 -0.04765040 0.1845882 model03-model01 0.143238920 -0.05589008 0.3423679 model04-model01 0.149002642 0.02900301 0.2690023 model05-model01 0.151504289 -0.04775209 0.3507607 model06-model01 0.193093625 0.07023934 0.3159479 ... ======== END =========== The mean value of the groups are shown below. It shows (m_5 - m_1) > (m_4 - m_1), where m_i is the mean value of model i. ======== BEGIN ===========library(plyr) ddply(df, ~model, summarise, mean=mean(measurement)) model mean 1 model01 0.5352273 2 model02 0.6036962 3 model03 0.6784662 4 model04 0.6842300 5 model05 0.6867316 6 model06 0.7283210 7 model07 0.7489938 8 model08 0.7941213 9 model09 0.7944798 10 model10 1.1399370 11 model11 1.2582504 12 model12 1.2928783 13 model13 1.5789970 ======== END =========== -- View this message in context: http://r.789695.n4.nabble.com/Dunnett-s-T3-test-DTK-package-problem-tp4670649.html Sent from the R help mailing list archive at Nabble.com.