DTK: Dunnett-Tukey-Kramer Pairwise Multiple Comparison Test Adjusted for Unequal Variances and Unequal Sample Sizes
This package was created to analyze multi-level one-way experimental designs. It is designed to handle vectorized observation and factor data where there are unequal sample sizes and population variance homogeneity can not be assumed. To conduct the Dunnett modified Tukey-Kramer test (a.k.a. the T3 Procedure), create two vectors: one for your observations and one for the factor level of each observation. The function, gl.unequal, provides a means to more conveniently produce a factor vector with unequal sample sizes. Next, use the DTK.test function to conduct the test and save the output as an object to input into the DTK.plot function, which produces a confidence interval plot for each of the pairwise comparisons. Lastly, the function TK.test conducts the original Tukey-Kramer test.
- Matthew K. Lau
- Date of publication
- 2013-07-01 19:18:36
- Matthew K. Lau <firstname.lastname@example.org>
- GPL (>= 2)
- Dunnett-Tukey-Kramer Pairwise Multiple Comparison Test...
- DTK Test Confidence Interval Plot
- Dunnett's Modified Tukey-Kramer Pairwise Multiple Comparison...
- Generate Levels with Unequal Sample SIzes
- Tukey's Honestly Significant Difference Test
Files in this package