liver

Data from a toxicity trial with male Wistar rats: Relative liver weights in a negative control group and in 4 dose groups with an increasing dose of an active treatment.
After treatment the relative liver weights of the rats were computed.

datasets

With this package, it is possible to compute nonparametric simultaneous confidence intervals for relative contrast effects in the unbalanced one way layout. Moreover, it computes simultaneous p-values. The simultaneous confidence intervals can be computed using multivariate normal distribution, multivariate t-distribution with a Satterthwaite Approximation of the degree of freedom or using multivariate range preserving transformations with Logit or Probit as transformation function. 2 sample comparisons can be performed with the same methods described above. There is no assumption on the underlying distribution function, only that the data have to be at least ordinal numbers. See Konietschke et al. (2015) <doi:10.18637/jss.v064.i09> for details.

Kerstin Rubarth

nparcomp

Multiple Comparisons and Simultaneous Confidence Intervals

liver function

A data frame with 38 observations on the following 2 variables.<dl class="dl-horizontal">
 <dt><code>dosage</code></dt><dd>A numeric vector indicating the dose/control group.</dd>
 <dt><code>weight</code></dt><dd>A numeric vector containing the relative liver weights.</dd>
 </dl>

Format

Relative liver weights — liver

A data frame with 38 observations on the following 2 variables.<dl class='dl-horizontal'>
 <dt><code>dosage</code></dt><dd>A numeric vector indicating the dose/control group.</dd>
 <dt><code>weight</code></dt><dd>A numeric vector containing the relative liver weights.</dd>
 </dl>

liver: Relative liver weights

Description

Usage

Arguments

Format

Details

Examples