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Multiple comparison of means - using R

Tukey's Honestly Significant Difference


Gives something like this:

Tukey multiple comparisons of means 95% family-wise confidence level Fit: aov(formula = lm(num ~ var, ecover)) $var diff lwr upr p adj B-A -0.80 -1.8173659 0.217365918 0.1853025 C-A -1.82 -2.8373659 -0.802634082 0.0001436 D-A -1.48 -2.4973659 -0.462634082 0.0018414 E-A -3.14 -4.1573659 -2.122634082 0.0000000 F-A -2.78 -3.7973659 -1.762634082 0.0000002 C-B -1.02 -2.0373659 -0.002634082 0.0491450 D-B -0.68 -1.6973659 0.337365918 0.3369432 E-B -2.34 -3.3573659 -1.322634082 0.0000033 F-B -1.98 -2.9973659 -0.962634082 0.0000438 D-C 0.34 -0.6773659 1.357365918 0.9019526 E-C -1.32 -2.3373659 -0.302634082 0.0060243 F-C -0.96 -1.9773659 0.057365918 0.0722812 E-D -1.66 -2.6773659 -0.642634082 0.0004768 F-D -1.30 -2.3173659 -0.282634082 0.0069717 F-E 0.36 -0.6573659 1.377365918 0.8789313

Mmultf2.gif