WebJun 7, 2024 · If you have a factor with more than two levels (so that you need to summarize the joint significance of multiple parameters), you can use anova(), which uses F tests (the analog of t-tests) and includes an adjustSigma option: if you want to do more complicated post hoc testing (e.g. Tukey pairwise comparisons), you will probably need to use ... http://x.chaoxing.com/

R Project - summary output of glht function in tab delimited form?

WebOct 27, 2024 · 14.005 is correct. If you look at the fit of your anova model, you did not include an intercept, so T1 is taken as the reference and the coefficients reflect how much different groups deviate from the reference mean (T1) WebApr 10, 2014 · I've used the function lme() in a database I've got. After that, I've used glht() in order to see the multiple comparisons of means. The summary of glht() gives me, in the linear hypotheses, 4 columns, with the last one (Pr(> z )) being the one I'm interest at, at the moment.. Because I'm dealing with 20 parameters, 4 different treatments, in 10 different … bugha dad twitch

r - Error in mcp2matrix(model, linfct = linfct) glht - Stack Overflow

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