DTK: Dunnett-Tukey-Kramer Pairwise Multiple Comparison Test Adjusted for Unequal Variances and Unequal Sample Sizes

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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.

Author
Matthew K. Lau
Date of publication
2013-07-01 19:18:36
Maintainer
Matthew K. Lau <mkl48@nau.edu>
License
GPL (>= 2)
Version
3.5

View on CRAN

Man pages

DTK-package
Dunnett-Tukey-Kramer Pairwise Multiple Comparison Test...
DTK.plot
DTK Test Confidence Interval Plot
DTK.test
Dunnett's Modified Tukey-Kramer Pairwise Multiple Comparison...
gl.unequal
Generate Levels with Unequal Sample SIzes
TK.test
Tukey's Honestly Significant Difference Test

Files in this package

DTK
DTK/MD5
DTK/R
DTK/R/TK.test.R
DTK/R/gl.unequal.R
DTK/R/DTK.test.R
DTK/R/DTK.plot.R
DTK/NAMESPACE
DTK/man
DTK/man/TK.test.Rd
DTK/man/gl.unequal.Rd
DTK/man/DTK.test.Rd
DTK/man/DTK.plot.Rd
DTK/man/DTK-package.Rd
DTK/DESCRIPTION