Title: Dunnett-Tukey-Kramer Pairwise Multiple Comparison Test Adjusted for Unequal Variances and Unequal Sample Sizes
Packaged: Sun Mar  1 09:47:43 2009; artemis

Packaged: Wed Mar  4 15:13:11 2009; artemis

Title: Dunnett-Tukey-Kramer Pairwise Multiple Comparison Test Adjusted
for Unequal Variances and Unequal Sample Sizes
Description: Functions for conducting and plotting Dunnett's modified
Tukey-Kramer pairwise multiple comparison test accounting for
unequal variance and unequal sample sizes.

Package: DTK
Type: Package
Title: Dunnett-Tukey-Kramer Pairwise Multiple Comparison Test Adjusted
for Unequal Variances and Unequal Sample Sizes
Version: 3.1
Date: 2011-03-17
Author: Matthew K. Lau
Maintainer: Matthew K. Lau <mkl48@nau.edu>
Description: 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.
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2012-10-29 08:56:55 UTC; ripley
Repository: CRAN
Date/Publication: 2012-10-29 08:56:55

Package: DTK
Type: Package
Title: Dunnett-Tukey-Kramer Pairwise Multiple Comparison Test Adjusted
for Unequal Variances and Unequal Sample Sizes
Version: 3.5
Date: 2013-07-01
Author: Matthew K. Lau
Maintainer: Matthew K. Lau <mkl48@nau.edu>
Description: 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.
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2013-07-01 15:48:55 UTC; Aeolus
Repository: CRAN
Date/Publication: 2013-07-01 19:18:36
NeedsCompilation: no