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...to 97%.. I searched the web and found several modelling approaches but have the feeling that they are overly complex for my very simple dataset. Thanks in advance for any help! Kay -- Kay Cichini, MSc Biol Grubenweg 22, 6071 Aldrans Tel.: 0650 9359101 E-Mail: kay.cichini@gmail.com Web: www.theBioBucket.blogspot.co.at<http://www.thebiobucket.blogspot.co.at/><http://www.theBioBucket.blogspot.co.at> -- [[alternative HTML version deleted]]

Hi R users, Could anyone let me know how to export a paired t-test output table (see below) to an excel file? Jason, with(score2,pairwise.t.test(values,ind, + p.adjust.method="holm", paired=T)) Pairwise comparisons using paired t tests data: values and ind test1 test2 test3 test4 test5 test6 test1 1.0000 - - -

...----------------- # B) Solución glht #-------------------------------------- # Es buena, pero para interacciones me chirria # http://stats.stackexchange.com/questions/14078/post-hoc-test-after-anova-with-repeated-measures-using-r # http://www.ats.ucla.edu/stat/r/faq/testing_contrasts.htm # http://thebiobucket.blogspot.com.es/2011/06/glmm-with-custom-multiple-comparisons.html#more # Un Factor summary(glht(model= m1,linfct=mcp( group = "Tukey") ), test = adjusted(type = "bonferroni")) # Dos factores datos$AffGroup <- interaction(datos$Affix, datos$group) m2 <- lmer( LogRT ~ Af...