DTcv | R Documentation |

DTcv provides the critical constants calculated based step-down Dunnett test procedure. Three significance level (0.01, 0.05, and 0.1) each with two alternative hypothesis ("U"=upper one-sided test; "B"=two-sided test) are supported.

data(DTcv)

at most 30 treatments (1 : 30), and 35 degree of freedom(c(5 : 30, 40, 50, 60, 80, 100, 120, 200, 1000, 3000)).

`DTcv`

a matrix of critical value for Dunnett's test

> head(DTcv)

` `

df p twoside.01 twoside.05 twoside.10 oneside.01 oneside.05 oneside.10

[1,] 5 1 4.032 2.571 2.015 3.365 2.015 1.476

[2,] 5 2 4.627 3.030 2.433 3.900 2.440 1.873

[3,] 5 3 4.948 3.294 2.669 4.225 2.681 2.095

[4,] 5 4 5.218 3.474 2.831 4.434 2.848 2.245

[5,] 5 5 5.416 3.616 2.956 4.585 2.974 2.360

[6,] 5 6 5.538 3.727 3.055 4.723 3.080 2.451

df: degree of freedom; p: the number of treatment.

The critical constants (store in DTcv) were calculated using step-down Dunnett test procedure( the cvSDDT funtion in R package DunnettTests).

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