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,
\code{\link{gl.unequal}}, provides a means to more conveniently
produce a factor vector with unequal sample sizes. Next, use
the \code{\link{DTK.test}} function to conduct the test and
save the output as an object to input into the
\code{\link{DTK.plot}} function, which produces a confidence
interval plot for each of the pairwise comparisons. Lastly, the
function (\code{\link{TK.test}}) conducts the original
Tukey-Kramer test.
| Version: |
3.1 |
| Published: |
2011-03-18 |
| Author: |
Matthew K. Lau |
| Maintainer: |
Matthew K. Lau <mkl48 at nau.edu> |
| License: |
GPL (≥ 2) |
| CRAN checks: |
DTK results |
Downloads: